A business information analysis system and method using prospective pegs

Abstract

The present invention relates to a business information analysis system and method using prospective PEG, which calculates prospective PEG based on stock price and EPS data received from a subject providing financial market data, and provides a function of storing and displaying the data. The business information analysis system using prospective PEG according to the present invention is characterized by comprising: (a) a parameter setting unit; (b) a data collecting unit; (c) a data operating unit; (d) an operating result storing unit; and (e) a display unit. The business information analysis method using prospective PEG is characterized by comprising: (a) a parameter setting step; (b) a data collecting step; (c) a data operating step; (d) an operating result storing step; and (e) a display step.

Description

Technical Field

[0001] This invention relates to a corporate information analysis system and method using expected PEG, which calculates expected PEG based on corporate information data received from entities that provide financial market and corporate-related data, thereby providing the function of analyzing, storing, and displaying expected PEG information so that users can quantitatively evaluate corporate information. Background Technology

[0002] PEG (Price Earnings to Growth Ratio) is an investment metric that measures how a stock's price compares to a company's growth rate. The expected PEG is calculated using the company's projected profit growth rate, making it a core factor in company valuation. However, there are various methods for calculating PEG (including expected PEG), and the PEG calculation methods developed to date only apply to companies that are profitable and experiencing earnings growth.

[0003] More specifically,

[0004] First, there are currently many methods for calculating PEG, and the results will vary depending on the method, making it difficult for investors to use. Furthermore, during analysis, since each company calculates various variables multiple times to arrive at the final PEG, it is inconvenient for investors to use.

[0005] Second, existing methods for calculating the projected PEG ratio can lead to errors in the calculation of projected EPS (Earnings Per Share) growth rate or projected PEG when a company transitions from profit to loss, from loss to profit, from a loss-making state to a larger loss, or from a larger loss to a smaller loss. This prevents investors from accurately assessing a company's value. As mentioned above, due to these problems with existing PEG calculation methods, in practice, projected PEG is only calculated and provided when a company is profitable and its performance is growing. Consequently, there is a problem of not being able to provide projected PEG data consistently. Summary of the Invention

[0006] The problem that the invention aims to solve

[0007] To address the aforementioned problems, the present invention aims to provide a corporate information analysis system and method using expected PEG. The system is characterized by its ability to quantitatively analyze and display data related to expected PEG, thereby facilitating the calculation of expected PEG. It provides accurate expected PEG values ​​even when a company is in a loss-making state, transitions from loss to profit, transitions from profit to loss, or experiences a decline in performance while still profitable, enabling investors to effectively utilize PEG.

[0008] means for solving problems

[0009] In order to achieve the above objectives, this invention provides an enterprise information analysis system and method that provides an uninterrupted expected PEG value. The system receives the data required for enterprise analysis from the entity that provides the enterprise data. Even when the enterprise is in a loss-making state, or when it turns from a loss to a profit, or when it turns from a profit to a loss, or when the enterprise's performance declines while it is in a profitable state, the system can still provide an algorithm that provides an accurate expected PEG value.

[0010] Invention Effects

[0011] The enterprise information analysis system and method using the expected PEG according to the present invention have the following effects:

[0012] First, users do not need to collect data one by one and calculate the expected PEG; they can use the automatically calculated expected PEG to assess the value of a company.

[0013] Secondly, it can provide an accurate expected PEG value even when a company is in a loss-making state, or turns from loss to profit, or turns from profit to loss, or when the company's performance declines while it is profitable. Therefore, investors can effectively use the expected PEG for investment.

[0014] Third, it solves the problem of gaps in expected PEG caused by errors in expected PEG calculation, thus enabling the provision of continuous PEG values.

[0015] Fourth, by using the expected PEG ratio, investors can quantitatively assess the long-term trend of stock prices.

[0016] Fifth, by providing continuous expected PEG values, it makes it easier for investors to use expected PEG data from a time series perspective. Attached Figure Description

[0017] Figure 1 This is a schematic diagram illustrating the configuration of a data management server for an enterprise information analysis system using the intended PEG according to an embodiment of the present invention.

[0018] Figure 2This is a flowchart illustrating an example of the analysis storage and display process when using the intended PEG analysis of an enterprise according to an embodiment of the present invention.

[0019] Figure 3 This is a schematic diagram illustrating an example of enterprise analysis information, expected PEG data, and historical PER data display results according to an implementation of the present invention.

[0020] Figure 4 This is a schematic diagram illustrating an example of enterprise analysis information, expected PEG for the most recent 12 months, and PER data for the most recent 12 months, as shown in the implementation of the present invention.

[0021] Figure 5 This is a schematic diagram illustrating an example of the expected PEG data display results in years according to an embodiment of the present invention.

[0022] Figure 6 This is a schematic diagram illustrating an example of the expected PEG data display results on a daily basis according to an embodiment of the present invention.

[0023] Figure 7 This is a schematic diagram illustrating an example of a comparison between the existing expected PEG and the expected PEG according to the present invention on an annual basis.

[0024] Figure 8 This is a schematic diagram illustrating an example of a comparison between the daily existing expected PEG and the expected PEG according to the present invention.

[0025] Figure 9 This is a schematic diagram illustrating an example of a comparison between the expected PEG of the current year for the most recent 12 months according to the present invention and the expected PEG of the most recent 12 months according to the present invention. Detailed Implementation

[0026] The invention will be described in detail with reference to the accompanying drawings and based on the preferred embodiments described below, so that those skilled in the art can readily understand and reproduce it.

[0027] It should be understood that the present invention can be modified in various ways and can be in various forms. The description of the present invention by way of examples is not intended to limit the present invention to the specific forms listed, but includes all modifications, equivalents or substitutions included in the concept and technical scope of the present invention.

[0028] In this invention, "company information" refers to financial market and company-related information required for analyzing the expected PEG ratio.

[0029] In this invention, "data collection" refers to the collection of stock price and / or EPS data by the server from financial and / or corporate performance data providers such as institutions that provide financial market or corporate information, individual securities companies or corporate data providers, and similar financial and / or corporate data providers abroad.

[0030] The terminology used throughout this specification is defined based on the functions in the embodiments of this invention. Since it is an object that can be fully modified according to the intentions or conventions of the user or operator, these terms should be defined based on the content of this specification.

[0031] (1) Composition of the data management server of the enterprise information analysis system

[0032] Figure 1 This is a schematic diagram illustrating the configuration of a data management server for an enterprise information analysis system using the expected PEG according to an embodiment of the present invention.

[0033] The data management server of an enterprise information analysis system using the expected PEG ratio is characterized by including:

[0034] (a) Parameter setting unit 101 is set to analyze the parameters required by the enterprise in the server;

[0035] (b) Data collection unit 102 collects stock price and EPS data required for analyzing the expected PEG in the server;

[0036] (c) The data processing unit performs the expected PEG calculation processing in the server using the data and calculation formulas collected in (b) above;

[0037] (d) Calculation result storage unit, which stores the data and expected PEG calculation results for analysis on the server;

[0038] (e) Display unit, which displays on the screen the enterprise information and expected PEG calculation results after processing in the server.

[0039] Here, the feature is that when the PEG operation is specifically performed in the operation unit of (c), when calculating the expected PEG, [Mathematical Formula 13], [Mathematical Formula 14], [Mathematical Formula 15], [Mathematical Formula 16], [Mathematical Formula 17] and [Mathematical Formula 38] are used for the operation; when calculating the expected PEG for the most recent 12 months, [Mathematical Formula 32], [Mathematical Formula 33] and [Mathematical Formula 34] are used for the operation.

[0040] [Mathematical Expression 13]

[0041] 1YE PEG=ABS(P / EPS t+1) / {(EPS t+1-EPS t) / ABS(EPS t)×100}

[0042] Here,

[0043] 1-Year PEG = Expected PEG in 1 Year (1-Year PEG)

[0044] P = Stock price on the calculation date

[0045] EPS t = EPS of the previous year in the year in which the calculation date is located

[0046] EPS t+1 = Expected EPS one year from the end of the previous year (based on the year preceding the calculation date).

[0047] ABS = Absolute Value

[0048] [Mathematical Expression 14]

[0049] 2YE PEG=ABS(P / EPS t+2) / {(EPS t+2-EPS t+1) / ABS(EPS t+1)×100}

[0050] Here,

[0051] P = Stock price on the calculation date

[0052] 2YE PEG = Expected PEG in 2 years (2YE PEG)

[0053] EPS t+1 = Expected EPS one year from the end of the previous year (based on the year preceding the calculation date).

[0054] EPS t+2 = Expected EPS two years from the end of the year preceding the year in which the calculation date is calculated.

[0055] ABS = Absolute Value

[0056] [Mathematical Expression 15]

[0057] 3YE PEG=ABS(P / EPS t+3) / {(EPS t+3-EPS t+2) / ABS(EPS t+2)×100}

[0058] Here,

[0059] 3YE PEG = Expected PEG in 3 years (3YE PEG)

[0060] P = Stock price on the calculation date

[0061] EPS t+2 = Expected EPS two years from the end of the year preceding the year in which the calculation date is calculated.

[0062] EPS t+3 = Expected EPS three years from now, based on the last day of the year preceding the calculation date.

[0063] ABS = Absolute Value

[0064] [Mathematical Expression 16]

[0065] 2YAE PEG=ABS[P / {(EPS t+1+EPS t+2) / 2}] / [{(EPS t+1+EPS t+2) / 2-EPS t} / ABS(EPS t)×100]

[0066] Here,

[0067] 2YAE PEG = 2-Year Average Expected PEG (2YAE PEG)

[0068] P = Stock price on the calculation date

[0069] EPS t = EPS of the previous year in the year in which the calculation date is located

[0070] EPS t+1 = Expected EPS one year from the end of the previous year (based on the year preceding the calculation date).

[0071] EPS t+2 = Expected EPS two years from the end of the year preceding the year in which the calculation date is calculated.

[0072] ABS = Absolute Value

[0073] [Mathematical Expression 17]

[0074] 3YAE PEG=ABS[P / {(EPS t+1+EPS t+2+EPS t+3) / 3}] / [{(EPS t+1+EPS t+2+EPSt+3) / 3-EPS t} / ABS(EPS t)×100]

[0075] Here,

[0076] 3YAE PEG = 3-Year Average Expected PEG (3YAE PEG)

[0077] P = Stock price on the calculation date

[0078] EPS t = EPS of the previous year in the year in which the calculation date is located

[0079] EPS t+1 = Expected EPS one year from the end of the previous year (based on the year preceding the calculation date).

[0080] EPS t+2 = Expected EPS two years from the end of the year preceding the year in which the calculation date is calculated.

[0081] EPS t+3 = Expected EPS three years from now, based on the last day of the year preceding the calculation date.

[0082] ABS = Absolute Value

[0083] [Mathematical Expression 38]

[0084] 1YBDE PEG=ABS(P / EPS t+1) / {(EPS t+1-EPS ct) / ABS(EPS ct)×100}

[0085] Here,

[0086] 1YBDE PEG = Expected PEG in 1 year before earnings are disclosed (1YBDE PEG)

[0087] P = Stock price on the calculation date

[0088] EPS ct = Expected EPS (consensus forecast, estimated EPS) of the previous year (t) in the year in which the calculation date is located

[0089] EPS t+1 = Expected EPS one year from the end of the previous year (based on the year preceding the calculation date).

[0090] ABS = Absolute Value

[0091] [Mathematical Expression 32]

[0092] 1YE PEG ttm=ABS(P / EPS ttm+1) / {(EPS ttm+1-EPS ttm) / ABS(EPS ttm)×100}

[0093] Here,

[0094] 1YE PEG ttm = Expected PEG in 1-Year Trailing Twelve Months (1YE PEG ttm)

[0095] P = Stock price on the calculation date

[0096] EPS ttm = EPS of the most recent 12 months preceding the month in which the calculation date is located.

[0097] EPS ttm+1 = Expected EPS for the most recent 12 months following the year preceding the calculation date.

[0098] ABS = Absolute Value

[0099] [Mathematical Expression 33]

[0100] 2YE PEG ttm=ABS(P / EPS ttm+2) / {(EPS ttm+2-EPS ttm+1) / ABS(EPS ttm+1)×100}

[0101] Here,

[0102] 2YE PEG ttm = Expected PEG Trailing TwelveMonths in 2 years (2YE PEG ttm)

[0103] P = Stock price on the calculation date

[0104] EPS ttm+1 = Expected EPS for the most recent 12 months following the year preceding the calculation date.

[0105] EPS ttm+2 = Expected EPS for the most recent 12 months two years from the month preceding the calculation date.

[0106] ABS = Absolute Value

[0107] [Mathematical Expression 34]

[0108] 2YAE PEG ttm=ABS[P / {(EPS ttm+1+EPS ttm+2) / 2}] / [{(EPS ttm+1+EPS ttm+2) / 2-EPS ttm} / ABS(EPS ttm)×100]

[0109] Here,

[0110] 2YAE PEG ttm = 2-Year Average Expected PEG (Trailing Twelve Months) ttm

[0111] P = Stock price on the calculation date

[0112] EPS ttm = EPS of the most recent 12 months preceding the month in which the calculation date is located.

[0113] EPS ttm+1 = Expected EPS for the most recent 12 months following the year preceding the calculation date.

[0114] EPS ttm+2 = Expected EPS for the most recent 12 months two years from the month preceding the calculation date.

[0115] ABS = Absolute Value

[0116] (2) Enterprise analysis steps / processes using expected PEG

[0117] Figure 2 This is a flowchart illustrating an example of the analysis storage and display process when using the intended PEG analysis of an enterprise according to an embodiment of the present invention.

[0118] Based on the parameters set in parameter setting step 201, the enterprise information analysis server determines whether the data exists in the data collection unit 102 of the server in step 202. If the data exists, it proceeds to the data collection step 203. The data collection unit 102 collects stock price and / or EPS data from entities that provide financial and enterprise-related information, such as financial and / or enterprise information providers, securities companies, professional enterprise information providers, foreign financial markets, and enterprise information providers, via the Internet. The collected data is then processed by the data processing unit 103 using formulas in step 205. In step 206, the PEG calculation result based on the conditions set in the parameters is stored in the calculation result storage unit 104. In step 207, the calculated enterprise information and expected PEG data are displayed to the user through the display unit 105.

[0119] If no data to be collected exists, the server's data collection unit 102 informs the user 204 that the data does not exist, and the calculation ends by terminating step 204 through data calculation.

[0120] In parameter setting step 201, the parameter setting unit 101 of the server is set to collect stock price and EPS data information required to calculate the expected PEG from various financial and corporate information that can be collected via the Internet, and set parameters related to the conditions so as to calculate and display the collected data according to the target period of data analysis and the display type of analysis results.

[0121] (3) Implementation example of expected PEG data processing steps

[0122] (3-1) Examples of combining expected PEG with other corporate information

[0123] Figure 3 This is a schematic diagram illustrating an example of how enterprise analysis information, expected PEG data, and historical PER data are displayed according to an embodiment of the present invention.

[0124] exist[ Figure 3 In this table, stock price and EPS are arbitrary hypothetical values. "EPS after one year" refers to the expected EPS after one year, "EPS after two years" refers to the expected EPS after two years, "EPS after three years" refers to the expected EPS after three years, "Average EPS after two years" refers to the average expected EPS after two years, and "Average EPS after three years" refers to the average expected EPS after three years. Numbers in parentheses represent negative values.

[0125] exist[ Figure 3 In the data, the current stock price and the EPS of the previous year, the EPS one year later, the EPS two years later, and the EPS three years later are data collected from the data collection unit 102 of the server. The two-year average expected EPS, the three-year average expected EPS, the expected EPS growth rate of each expected year, the expected PER, the expected PEG, and the historical PER are data that have been automatically calculated and processed in the data calculation unit 103 of the server according to the formula.

[0126] Here, the above data are calculated using the following mathematical formulas.

[0127] First, the two-year average expected EPS and the three-year average expected EPS are calculated using the following mathematical formula.

[0128] If the EPS of the year preceding the design calculation date is EPS t, the expected EPS one year from the end of the previous year is EPS t+1, the expected EPS two years from the end of the previous year is EPS t+2, and the expected EPS three years from the end of the previous year is EPS t+3.

[0129] The two-year average expected EPS (2YAE EPS) is calculated using the following formula.

[0130] [Mathematical Expression 1]

[0131] 2YAE EPS=(EPS t+1+EPS t+2) / 2

[0132] The 3-year average expected EPS (3YAE EPS) is calculated using the following formula.

[0133] [Mathematical Expression 2]

[0134] 3YAE EPS=(EPS t+1+EPS t+2+EPS t+3) / 3

[0135] The expected EPS growth rate (%) is calculated using the following mathematical formula.

[0136] If the EPS of the previous year is EPSt, and the expected EPS one year from the end of the previous year is EPSt+1, the expected EPS two years from the end of the previous year is EPSt+2, and the expected EPS three years from the end of the previous year is EPSt+3, and the absolute values ​​are expressed as ABS, then...

[0137] The expected EPS growth rate in 1 year (1YE EGR) is calculated using the following formula.

[0138] [Mathematical Expression 3]

[0139] 1YE EGR={(EPS t+1-EPS t) / ABS(EPS t)}×100(%)

[0140] The expected EPS growth rate in 2 years (2YE EGR) is calculated using the following formula.

[0141] [Mathematical Expression 4]

[0142] 2YE EGR={(EPS t+2-EPS t+1) / ABS(EPS t+1)}×100(%)

[0143] The expected EPS growth rate in 3 years (3YE EGR) is calculated using the following formula.

[0144] [Mathematical Expression 5]

[0145] 3YE EGR={(EPS t+3-EPS t+2) / ABS(EPS t+2)}×100(%)

[0146] The 2-year average expected EPS growth rate (2YAEEGR) is calculated using the following formula.

[0147] [Mathematical Expression 6]

[0148] 2YAE EGR=[{(EPS t+1+EPS t+2) / 2}-EPS t)] / ABS(EPS t)×100(%)

[0149] The 3-year average expected EPS growth rate (3YAEEGR) is calculated using the following formula.

[0150] [Mathematical Expression 7]

[0151] 3YAE EGR=[{(EPS t+1+EPS t+2+EPS t+3) / 3}-EPS t)] / ABS(EPS t)×100(%)

[0152] The expected PER calculation is as follows.

[0153] If the stock price at the calculated date is P, the EPS of the previous year is EPS t, the expected EPS one year from the end of the previous year is EPS t+1, the expected EPS two years from the end of the previous year is EPS t+2, and the expected EPS three years from the end of the previous year is EPS t+3.

[0154] The expected PER (Expected PER in 1 year: 1E PER) one year from now is calculated using the following formula.

[0155] [Mathematical Expression 8]

[0156] 1E PER=P / EPS t+1

[0157] The expected PER in 2 years (2E PER) is calculated using the following formula.

[0158] [Mathematical Expression 9]

[0159] 2E PER=P / EPS t+2

[0160] The expected PER in 3 years (3E PER) is calculated using the following formula.

[0161] [Mathematical Expression 10]

[0162] 3E PER=P / EPS t+3

[0163] The 2-year average expected PER (2YAE PER) is calculated using the following formula.

[0164] [Mathematical Expression 11]

[0165] 2YAE PER=P / {(EPS t+1+EPS t+2) / 2}

[0166] The 3-Year Average Expected PER (3YAE PER) is calculated using the following formula.

[0167] [Mathematical Expression 12]

[0168] 3YAE PER=P / {(EPS t+1+EPS t+2+EPS t+3) / 3}

[0169] The expected PEG is calculated as follows.

[0170] If the stock price at the calculation date is P, the EPS of the previous year in the year containing the calculation date is EPS t, the expected EPS one year from the end of the previous year is EPS t+1, the expected EPS two years from the end of the previous year is EPS t+2, and the expected EPS three years from the end of the previous year is EPS t+3, and the absolute values ​​are expressed as ABS.

[0171] The expected PEG (1YE PEG) one year from now is calculated using the following formula.

[0172] [Mathematical Expression 13]

[0173] 1YE PEG=ABS(P / EPS t+1) / {(EPS t+1-EPS t) / ABS(EPS t)×100}

[0174] The expected PEG in 2 years (2YE PEG) is calculated using the following formula.

[0175] [Mathematical Expression 14]

[0176] 2YE PEG=ABS(P / EPS t+2) / {(EPS t+2-EPS t+1) / ABS(EPS t+1)×100}

[0177] The expected PEG in 3 years (3YE PEG) can be calculated using the following formula.

[0178] [Mathematical Expression 15]

[0179] 3YE PEG=ABS(P / EPS t+3) / {(EPS t+3-EPS t+2) / ABS(EPS t+2)×100}

[0180] The 2-year average expected PEG (2YAE PEG) is calculated using the following formula.

[0181] [Mathematical Expression 16]

[0182] 2YAE PEG=ABS[P / {(EPS t+1+EPS t+2) / 2}] / [{(EPS t+1+EPS t+2) / 2-EPS t} / ABS(EPS t)×100]

[0183] The 3-Year Average Expected PEG (3YAE PEG) is calculated using the following formula.

[0184] [Mathematical Expression 17]

[0185] 3YAE PEG=ABS[P / {(EPS t+1+EPS t+2+EPS t+3) / 3}] / [{(EPS t+1+EPS t+2+EPSt+3) / 3-EPS t} / ABS(EPS t)×100]

[0186] The historical PER is calculated as follows.

[0187] If the stock price at the calculated date is P, the EPS of the previous year is EPS t, the expected EPS one year from the end of the previous year is EPS t+1, and the expected EPS two years from the end of the previous year is EPS t+2.

[0188] The historical PER (Last Year PER in 1 year: 1LY PER) one year later is calculated as follows.

[0189] [Mathematical Expression 18]

[0190] 1LY PER = P / EPS t

[0191] The historical PER (Last Year PER in 2 years: 2LY PER) two years later is calculated as follows.

[0192] [Mathematical Expression 19]

[0193] 2LY PER=P / EPS t+1

[0194] The historical PER (Last Year PER in 3 years: 3LY PER) three years later is calculated as follows.

[0195] [Mathematical Expression 20]

[0196] 3LY PER=P / EPS t+2

[0197] The two-year average historical PER (2YAL PER) is calculated using the following formula.

[0198] [Mathematical Expression 21]

[0199] 2YAL PER=P / EPS t

[0200] The 3-year average last year PER (3YAL PER) is calculated using the following formula.

[0201] [Mathematical Expression 22]

[0202] 3YAL PER = P / EPS t

[0203] The calculation results using Equations 1 to 22 above represent the expected EPS growth rate, expected PER, expected PEG, and historical PER based on the previous year's end date for one year, two years, three years, the average of the next two years, and the average of the next three years. Specifically, the expected PEG represents the degree to which the stock price (P) is undervalued compared to the expected growth rate of the company's earnings per share (EPS) over the next three years. The PEG calculation formula used here differs from existing methods by using "ABS (Expected PER)," which has the following characteristics and effects: when the expected EPS growth rate is negative, a negative PEG value can be obtained, making it easier to predict a decline in stock price. Furthermore, using "ABS (Expected EPS Base Value)" to calculate the EPS growth rate ensures accurate calculation of the net profit growth rate even when the company is in a loss-making state, preventing incorrect PEG value calculations. Moreover, the expected PEG calculation method according to the present invention provides an accurate expected PEG value even when the company changes from profit to loss or from loss to profit.

[0204] (3-2) Example presenting a combination of expected PEG and other corporate information for the most recent 12 months.

[0205] Figure 4 This is a schematic diagram illustrating an example of enterprise analysis information, expected PEG for the most recent 12 months, and PER data for the most recent 12 months, presented according to an implementation of the present invention.

[0206] exist[ Figure 4In this table, stock price and EPS are arbitrary hypothetical values. "Recent" refers to the most recent 12 months, "EPS one year from now" refers to the EPS of the most recent 12 months from now, "EPS two years from now" refers to the EPS of the most recent 12 months from now, and "Two-year average EPS" refers to the average EPS of the most recent 12 months from now. Numbers in parentheses indicate negative values.

[0207] When calculating earnings per share (EPS) on an annual basis, understanding the relationship between earnings and stock price (P) becomes difficult due to the long time span, making it hard to grasp the most recent situation. To address this issue, we use EPS for the most recent 12 months (EPSTrailing Twelve Months: EPS ttm).

[0208] When calculating the projected PEG for the most recent 12 months using the EPS of the most recent 12 months, the question arises as there is no separate consensus forecast for the projected EPS for the most recent 12 months. Consensus forecasts are typically provided on an annual basis. If calculating the most recent projected PEG on March 10th of a specific year requires EPS for the next 12 months, then EPS up to the end of February of the following year must be considered. Therefore, the projected EPS for the 10 months from March to December of the current year is added together with the projected EPS for the 2 months up to the end of February of the following year to calculate and use the projected EPS for the most recent projected 12 months.

[0209] Typically, when annualizing quarterly EPS, the EPS for the most recent 12 months (M-1, where the calculation date is month M) is historical data and therefore always exists. Annualizing quarterly EPS means adding up the EPS of the past four quarters, including the most recent earnings release, at the time of each earnings release to calculate the EPS for the past year. When the annualized quarterly EPS is displayed monthly, since EPS is actually released every three months, the annualized EPS is updated with the same value each month for the three months leading up to the next quarterly earnings release.

[0210] [ Figure 4 The above method is used to present the expected PEG and PER for the most recent 12 months based on the EPS for the most recent 12 months.

[0211] If the month of the calculation date is M, the EPS of the previous year is EPS t, the expected EPS one year from the end of the previous year is EPS t+1, the expected EPS two years from the end of the previous year is EPS t+2, and the expected EPS three years from the end of the previous year is EPS t+3.

[0212] The expected EPS (Expected EPS Trailing Twelve Months in 1 year: EPS ttm+1) for the most recent 12 months after one year is calculated using the following formula.

[0213] [Mathematical Expression 23]

[0214] EPS ttm+1=EPS t+1×{(12-M+1) / 12}+EPS t+2×{(M-1) / 12}

[0215] The expected EPS (Expected EPS Trailing Twelve Months in 2 years: EPS ttm+2) for the most recent 12 months two years from now is calculated using the following formula.

[0216] [Mathematical Expression 24]

[0217] EPS ttm+2=EPS t+2×{(12-M+1) / 12}+EPS t+3×{(M-1) / 12}

[0218] The EPS for the most recent 12 months three years from now is calculated, assuming that the EPS for four years from now has not been released and will not be calculated.

[0219] The expected EPS for the most recent 12 months, which is the average of the past two years, is calculated using the following mathematical formula.

[0220] If the month of the calculation date is M, the EPS for the most recent 12 months prior to the calculation date is EPS ttm. The expected EPS for the most recent 12 months one year from the calculation date is EPS ttm+1, and the expected EPS for the most recent 12 months two years from the calculation date is EPS ttm+2.

[0221] The 2-Year Average Expected EPS Trailing Twelve Months (2YAE EPS ttm) is calculated as follows.

[0222] [Mathematical Expression 25]

[0223] 2YAE EPS ttm=(EPS ttm+1+EPS ttm+2) / 2

[0224] Here, the expected EPS for the most recent 12 months after one year, namely EPS ttm+1, is calculated using the result of the above [Mathematical Formula 23], and the expected EPS for the most recent 12 months after two years, namely EPS ttm+2, is calculated using the result of the above [Mathematical Formula 24].

[0225] The calculation of the expected EPS for the most recent 12 months is based on the three-year average. It is assumed that the consensus EPS forecast for four years from now has not been released and is therefore not included in the calculation.

[0226] The expected EPS growth rate (%) for the most recent 12 months is calculated using the following mathematical formula.

[0227] If the month of the calculation date is M, the EPS for the most recent 12 months prior to the calculation date is EPS ttm. The expected EPS for the most recent 12 months one year from the month prior to the calculation date is EPS ttm+1, and the expected EPS for the most recent 12 months two years from the calculation date is EPS ttm+2. The absolute values ​​are expressed as ABS.

[0228] The expected EPS growth rate (Trailing Twelve Months in 1 year: 1YE EGR ttm) for the most recent 12 months after one year is calculated using the following formula.

[0229] [Mathematical Expression 26]

[0230] 1YE EGR ttm={(EPS ttm+1-EPS ttm) / ABS(EPS ttm)}×100(%)

[0231] Here, the expected EPS for the most recent 12 months after one year, namely EPS ttm+1, uses the data calculated by the above [Mathematical Formula 23]. The EPS for the most recent 12 months, namely EPS ttm, is historical data and therefore always exists.

[0232] The expected EPS growth rate (Trailing Twelve Months in 2 years: 2YE EGR ttm) for the most recent 12 months two years from now is calculated using the following formula.

[0233] [Mathematical Expression 27]

[0234] 2YE EGR ttm={(EPS ttm+2-EPS ttm+1) / ABS(EPS ttm+1)}×100(%)

[0235] Here, the expected EPS for the most recent 12 months two years from now, or EPS ttm+2, uses data calculated using [Mathematical Formula 24], and the expected EPS for the most recent 12 months one year from now, or EPS ttm+1, uses data calculated using [Mathematical Formula 23].

[0236] The expected EPS growth rate for the most recent 12 months three years from now is not calculated as it is assumed that the consensus EPS forecast for four years from now has not been released.

[0237] The 2-year average expected EPS growth rate (2YAE EGR ttm) is calculated using the following formula.

[0238] [Mathematical Expression 28]

[0239] 2YAE EGR ttm=[{(EPS ttm+1+EPS ttm+2) / 2}-EPS ttm)] / ABS(EPS ttm)×100(%)

[0240] Here, the expected EPS for the most recent 12 months after one year (EPS ttm+1) uses the data calculated using [Mathematical Formula 23] above, and the expected EPS for the most recent 12 months after two years (EPS ttm+2) uses the data calculated using [Mathematical Formula 24] above. The EPS for the most recent 12 months (EPS ttm) is historical data and therefore always exists.

[0241] The calculation is based on the average expected EPS growth rate over the most recent 12 months over the past three years. It is assumed that the consensus EPS forecast for four years from now has not been released and is therefore not included in the calculation.

[0242] The expected PER for the most recent 12 months is calculated as follows.

[0243] If the stock price at the calculation date is P, the most recent EPS for the month preceding the year in which the calculation date is calculated is EPSttm, the most recent expected EPS one year from the month preceding the calculation date is EPSttm+1, and the most recent expected EPS two years from the year in which the calculation date is calculated is EPSttm+2.

[0244] The expected PER (Trailing Twelve Months in 1 year: 1E PER ttm) for the most recent 12 months after one year is calculated using the following formula.

[0245] [Mathematical Expression 29]

[0246] 1E PER ttm = P / EPS ttm + 1

[0247] Here, the expected EPS for the most recent 12 months after one year, namely EPS ttm+1, uses data calculated based on [Mathematical Formula 23].

[0248] The expected PER (Trailing Twelve Months in 2 years: 2E PER) for the most recent 12 months two years from now is calculated using the following formula.

[0249] [Mathematical Expression 30]

[0250] 2E PER ttm = P / EPS ttm + 2

[0251] Here, the expected EPS for the most recent 12 months two years from now, namely EPS ttm+2, uses data calculated using [Mathematical Formula 24].

[0252] The 2-Year Average Expected PER Trailing TwelveMonths (2YAE PER) is calculated using the following formula.

[0253] [Mathematical Expression 31]

[0254] 2YAE PER ttm=P / {(EPS ttm+1+EPS ttm+2) / 2}

[0255] Here, the expected EPS for the most recent 12 months after one year, namely EPS ttm+1, uses data calculated based on [Mathematical Formula 23], and the expected EPS for the most recent 12 months after two years, namely EPS ttm+2, uses data calculated through [Mathematical Formula 24].

[0256] The following calculation is performed for the expected PEG ratio over the past 12 months.

[0257] If the stock price on the calculation date is P, the EPS for the most recent 12 months preceding the month in which the calculation date is calculated is EPS ttm. The expected EPS for the most recent 12 months one year from the month preceding the calculation date is EPS ttm+1, and the expected EPS for the most recent 12 months two years from the month preceding the calculation date is EPS ttm+2. The absolute values ​​are expressed as ABS.

[0258] The expected PEG in 1-year trailing twelve months (1YE PEG ttm) is calculated using the following formula.

[0259] [Mathematical Expression 32]

[0260] 1YE PEG ttm=ABS(P / EPS ttm+1) / {(EPS ttm+1-EPS ttm) / ABS(EPS ttm)×100}

[0261] Here, the expected EPS for the most recent 12 months after one year, namely EPS ttm+1, uses data calculated based on [Mathematical Formula 23]. The EPS for the most recent 12 months, namely EPS ttm, is historical data and therefore always exists.

[0262] The expected PEG (2YE PEG ttm) for the most recent 12 months two years from now is calculated using the following formula.

[0263] [Mathematical Expression 33]

[0264] 2YE PEG ttm=ABS(P / EPS ttm+2) / {(EPS ttm+2-EPS ttm+1) / ABS(EPS ttm+1)×100}

[0265] Here, the expected EPS for the most recent 12 months after one year, namely EPS ttm+1, uses data calculated based on [Mathematical Formula 23], and the expected EPS for the most recent 12 months after two years, namely EPS ttm+2, uses data calculated through [Mathematical Formula 24].

[0266] The 2-Year Average Expected PEG Trailing TwelveMonths (2YAE PEG ttm) can be calculated using the following formula.

[0267] [Mathematical Expression 34]

[0268] 2YAE PEG ttm=ABS[P / {(EPS ttm+1+EPS ttm+2) / 2}] / [{(EPS ttm+1+EPS ttm+2) / 2-EPS ttm} / ABS(EPS ttm)×100]

[0269] Here, the expected EPS for the most recent 12 months after one year (EPS ttm+1) uses the data calculated using [Mathematical Formula 23] above, and the expected EPS for the most recent 12 months after two years (EPS ttm+2) uses the data calculated using [Mathematical Formula 24] above. The EPS for the most recent 12 months (EPS ttm) is historical data and therefore always exists.

[0270] The PER calculation is as follows.

[0271] If the stock price on the calculation date is P, the EPS for the most recent 12 months prior to the month in which the calculation date is calculated is EPS ttm, and the most recent expected EPS one year from the month prior to the calculation date is EPS ttm+1.

[0272] The PER (Last Year PER Trailing Twelve Months in 1 year: 1AT PER) for the most recent 12 months after one year is calculated as follows.

[0273] [Mathematical Expression 35]

[0274] 1AT PER = P / EPS ttm

[0275] Here, the EPS for the most recent 12 months, or EPS ttm, is historical data and therefore always exists.

[0276] The PER (Last Year PER Trailing Twelve Months in 2 years: 2AT PER) for the most recent 12 months after two years is calculated as follows.

[0277] [Mathematical Expression 36]

[0278] 2AT PER=P / EPS ttm+1

[0279] Here, the expected EPS for the most recent 12 months after one year, namely EPS ttm+1, uses data calculated based on [Mathematical Formula 23].

[0280] The 2-year average last year PER (Trailing Twelve Months) can be calculated using the following formula.

[0281] [Mathematical Expression 37]

[0282] 2YAT PER = P / EPS ttm

[0283] EPS for the most recent 12 months, or EPS ttm, is historical data and therefore always exists.

[0284] The calculation results using Equations 23 to 37 above represent the expected EPS growth rate one year later, two years later, the average of the last 12 months over two years, the expected PER for the last 12 months, the expected PEG for the last 12 months, and the expected PER for the last 12 months, based on the month preceding the month of the calculation date. Specifically, the expected PEG for the last 12 months represents the degree to which the stock price (P) is undervalued compared to the company's expected earnings per share (EPS) growth rate over the next two years. The formula for calculating the expected PEG for the last 12 months used here differs from existing methods by using "ABS (Expected PER)," which has the following characteristics and effects: when the expected EPS growth rate for the next 12 months is negative, a negative PEG value can be obtained, making it easier to predict a decline in stock price. Furthermore, using "ABS (Expected EPS Base Value)" to calculate the EPS growth rate for the last 12 months ensures accurate calculation even when the company is in a loss-making state, preventing incorrect PEG value calculations. Additionally, the expected PEG calculation method for the last 12 months according to the present invention provides an accurate expected PEG value even when the company changes from profit to loss or from loss to profit.

[0285] (3-3) Example presenting expected PEG data in annual units

[0286] Figure 5 This is a schematic diagram illustrating an example of the expected PEG data display results in years according to an embodiment of the present invention.

[0287] exist[ Figure 5 In the calculation of the expected PEG, the stock price and EPS are arbitrary assumed values. It is assumed that the stock price represents the closing price on the last day of the year, and EPS represents the actual EPS for the year. The expected PEG is calculated based on the expected PEG calculation method according to this invention [Mathematical Formula 13] (see [...] for details). Figure 7 In this context, the expected PEG one year from now refers to the expected PEG one year from the last day of the year preceding the year in which the current year ends. The numbers in parentheses represent negative values. According to an embodiment, the expected PEG can be displayed separately and independently from the year, showing only the expected PEG data.

[0288] If we let the closing price at the end of the year be P, the EPS of the previous year in the year containing the stock market closing date of the current year be EPS t, and the expected EPS one year later based on the last day of the previous year in the year containing the calculation date be EPS t+1, then the expected PEG of the year containing the calculation date can be calculated using the above [Mathematical Formula 13]. The expected PEG for the following year can be calculated using the same method. By calculating the expected PEG for each year using the same method and performing time-series processing by year, the calculation results of the expected PEG in annual units can be presented. This method is suitable for situations where the company's performance data has been published and the expected PEG data for each year is calculated using this invention.

[0289] Calculating the expected PEG based on historical stock prices and EPS from historical time-series financial data is straightforward since all actual performance data for the company is available. However, calculating the expected PEG using consensus forecasts of a company's expected performance differs from calculating it based on historical actual performance data. The timing of earnings releases varies from company to company. The expected PEG value for the same date in a given year may differ before and after the earnings release. This is because, even if the year changes, before the earnings release, the previous year's performance is not yet determined; therefore, only the estimated EPS (consensus forecast) for the previous year (t) is available, not the actual EPS for that year (t). This difference will be reflected in the calculated expected PEG.

[0290] If the stock price on the calculation date is P, the actual EPS of the previous year (t) is EPS t, the estimated EPS (consensus forecast) of the previous year (t) is EPS ct, and the expected EPS one year from the end of the previous year (t) is EPS t+1.

[0291] The expected PEG one year later according to the present invention is calculated using the above [Mathematical Formula 13].

[0292] 1YE PEG=ABS(P / EPS t+1) / {(EPS t+1-EPS t) / ABS(EPS t)×100}

[0293] If the previous year's earnings per share (EPS t) is known, the mathematical formula can be used for calculation. However, if EPS t is not yet known, there is no known previous year's EPS t even if the year changes. There is only the estimated EPS (consensus forecast) for the previous year (t). Therefore, in order to calculate the expected PEG, the estimated EPS (consensus forecast) for the previous year (t), i.e., EPS ct, and the expected EPS t+1 (consensus forecast, estimated EPS) one year after the end of the previous year are used to calculate the expected PEG.

[0294] Therefore, after the year changes, the expected PEG (1YBDE PEG) one year before earnings are disclosed is calculated using the following formula.

[0295] [Mathematical Expression 38]

[0296] 1YBDE PEG=ABS(P / EPS t+1) / {(EPS t+1-EPS ct) / ABS(EPS ct)×100}

[0297] Here, EPS ct = consensus forecast, which estimates EPS.

[0298] As mentioned above, because the calculation methods are different, even if they belong to the same year, the expected PEG will be different before the previous year's results are released and after the company's results are released.

[0299] Furthermore, after the company's earnings release date, the EPS ct used in the calculation will be replaced by the actual EPS t, and the expected PEG calculated before the earnings release will be replaced by the expected PEG calculated using the actual EPS t and EPS t+1. In addition, the overall expected EPS for the year will be displayed as the result calculated using [Equation 13] above. This expected PEG data conversion is repeated annually, thus forming a time-series expected PEG data on an annual basis.

[0300] like[ Figure 8 As shown, the expected PEG display results in years according to the implementation of the present invention are significantly different from the PEG display results in years calculated using existing methods.

[0301] (3-4) Examples presenting expected PEG data on a daily basis

[0302] Figure 6 This is a schematic diagram illustrating an example of the expected PEG data display results on a daily basis according to an embodiment of the present invention.

[0303] exist[ Figure 6 In this context, the expected PEG is calculated by making arbitrary assumptions about the stock price and EPS. For example, it is assumed that as of December 29, 2022 (the stock market closing date), the company changed from a profit in 2021 to a loss in 2022, meaning the estimated EPS at the end of 2022 is negative. Simultaneously, it is assumed that from January 2, 2023 (the stock market opening date), the estimated EPS at the end of 2022 changes from a loss to a profit at the end of 2023. Based on this, the expected PEG is calculated (see [... for details...). Figure 8Therefore, the projected PEG for 2022 is shown as negative, while the projected PEG for 2023 is shown as positive. As of December 29, 2022, the daily projected PEG data was calculated according to the projected PEG calculation method [Mathematical Formula 13] of the present invention. Furthermore, from January 2, 2023 onwards, the daily projected PEG data was calculated according to the projected PEG calculation method [Mathematical Formula 38] of the present invention. Numbers in parentheses indicate negative values.

[0304] If the stock price on the calculation date is P, the EPS of the previous year is EPSt, and the expected EPS one year from the end of the previous year is EPSt+1, then the expected PEG for that date can be calculated using [Mathematical Formula 13] above. The expected PEG for the next day can be calculated using the same method. However, when calculating the expected PEG daily, from the beginning of the year of the calculation date until the release of the company's earnings, the expected PEG for that date should be calculated using [Mathematical Formula 38] above.

[0305] In this case, when EPS is calculated on a yearly basis, the expected EPS and expected EPS growth rate for the following year are calculated using the same data. Therefore, in the above embodiment, the daily expected PEG varies only based on the daily stock price (P).

[0306] This method allows for the daily calculation of expected PEG for all dates with available data. This method is applicable to situations where expected PEG data is calculated daily using this invention.

[0307] If a company's earnings are released, the projected PEG ratio after the earnings release date will be calculated using the established actual EPSt and the projected 2023 EPSt+1, instead of the estimated 2022 EPS (EPSct). Projected PEG ratios calculated before the earnings release will also be replaced with projected EPS calculated based on the actual 2022 EPSt and the projected 2023 EPSt+1. Figure 6 ] is to [ Figure 8 The results of the calculations in [ ] are presented as specific examples of individual daily expected PEG data.

[0308] like[ Figure 8 As shown, the expected PEG data displayed on a daily basis according to an embodiment of the present invention differs significantly from the expected PEG data displayed on a daily basis using existing methods. According to an embodiment, the expected PEG can be separated from the date (year-month-day) and only the expected PEG data can be displayed independently.

[0309] (4) Comparison of the effects of existing expected PEG with the expected PEG according to the present invention

[0310] (4-1) Comparison of the effects of existing expected PEG and expected PEG according to the present invention on an annual basis

[0311] Figure 7 This is a schematic diagram illustrating an example of a comparison of the effects of an existing expected PEG and an expected PEG according to the present invention on an annual basis.

[0312] exist[ Figure 7 In this context, stock price and EPS are arbitrary hypothetical values. It is assumed that the stock price represents the closing price at the end of the year, and EPS represents the actual EPS for the year. The expected PEG data for the year is calculated using the expected PEG calculation method according to the present invention [Mathematical Formula 13]. Here, the expected EPS growth rate one year from now refers to the growth rate between the EPS of the year preceding the year in which the calculation date (the end of the current year) falls and the EPS of the current year. Additionally, the expected PEG one year from now refers to the expected PEG one year from the end of the year preceding the year in which the calculation date (the end of the current year) falls. Assuming the EPS for 2014 was 730 Korean Won, the EPS growth rate for 2015 was calculated based on this. "Existing one-year growth rate (%)" refers to the expected EPS growth rate (%) one year from now according to the existing calculation method; "Invention one-year growth rate (%)" refers to the expected EPS growth rate (%) one year from now according to the present invention; "Expected PER" refers to the expected PER one year from now; "Existing expected PEG" refers to the expected PEG one year from now according to the existing calculation method; and "Invention expected PEG" refers to the expected PEG one year from now according to the present invention. Numbers in parentheses indicate negative values.

[0313] The existing expected PEG is calculated using the formula "Expected PEG = Expected PER / Expected EPS growth rate".

[0314] To further clarify:

[0315] If the stock price on the calculation date is P, the EPS of the previous year in the year in which the calculation date is located is EPS t, and the expected EPS one year from now, based on the last day of the previous year in the year in which the calculation date is located, is EPS t+1, then the existing expected PEG (Expected PEG in 1 year: 1YE PEG) one year from now can be calculated by the following formula.

[0316] 1YE PEG=(P / EPS t+1) / {(EPS t+1-EPS t) / EPS t×100}

[0317] According to the present invention, the expected PEG one year later can be calculated by the above [Mathematical Formula 13], i.e., the following formula.

[0318] 1YE PEG=ABS(P / EPS t+1) / {(EPS t+1-EPS t) / ABS(EPS t)×100}

[0319] As mentioned above, the two methods for calculating the expected PEG differ, therefore the calculated results, i.e., the expected PEG values, will also differ. If we compare the effects of the existing expected PEG with the expected PEG according to the present invention on an annual basis, then as shown in […] Figure 7 As shown in the image.

[0320] according to[ Figure 7 The effects of existing expected PEG and the expected PEG according to the present invention are compared as follows:

[0321] First, according to the existing method for calculating the expected PEG ratio, in the 2016 data, when a company turned from a loss-making state to a profitable one year later (EPS of -904 KRW), even though EPS grew from a loss to a profit last year, the EPS growth rate was calculated as negative (-132.1%) (2016). In reality, the company achieved profitability and EPS growth, but the EPS growth rate was negative, which is a significant error (2016), leading to an incorrect expected PEG ratio (-0.18) (2016). Therefore, this prevents investors from accurately assessing the company's value.

[0322] According to the expected PEG calculation method of the present invention, the EPS growth rate (132.1%) has reflected the turnaround to profitability, and the expected PEG value also yielded a positive value (0.18), and the calculations are all correct.

[0323] Second, according to the existing method for calculating the expected PEG ratio, in the 2017 data, when a company went from being profitable (EPS of 290 KRW) in 2016 to losing (EPS of -392 KRW) a year later, the EPS growth rate could be correctly calculated as negative (-235.2%). However, because the expected PER became negative (-8.8), the expected PEG ratio (0.04) calculated based on this also became incorrect (2017). The company had already turned into a loss, yet a positive expected PEG ratio was derived, which is inconsistent with the facts. Therefore, this prevents investors from accurately determining the company's value.

[0324] According to the expected PEG calculation method of the present invention, the EPS growth rate is negative (-235.2%), which reflects the situation of turning from profit to loss, and the expected PEG value is also calculated to be negative (-0.04), and the calculation is correct.

[0325] In particular, according to the expected PEG calculation method of the present invention, the expected PEG for 2017 is negative -0.04. Thus, the EPS growth rate one year from the end of the previous year is -235.2%, and the expected PEG is -8.8, indicating a downward trend in EPS compared to the previous year. This improves upon a problem in general mathematical formulas where a positive calculated value results in a discrepancy between the calculated result and reality if both the numerator and denominator are negative. In this respect, the existing PEG representation differs significantly from the PEG representation according to the present invention.

[0326] Third, according to the existing expected PEG calculation method, in the 2018 data, the company went from a loss-making state (EPS of -392 Korean Won) in 2017 to a larger loss in the following year (2018) (EPS of -830 Korean Won). In other words, EPS changed from a smaller loss to a larger loss. At this point, even with the increased loss, the EPS growth rate was calculated as positive (111.7%). In reality, EPS declined, but the EPS growth rate was calculated as positive, which constitutes a significant calculation error (2018).

[0327] According to the expected PEG calculation method of the present invention, the EPS growth rate was correctly calculated to be negative (-111.7%).

[0328] Fourth, according to the existing expected PEG calculation method, in the 2019 data, the company went from a loss-making state (EPS of -830 KRW) in 2018 to a continued loss in the following year (2019), but its performance improved (EPS of -239 KRW). That is, EPS changed from a large loss to a smaller loss. In this case, EPS actually increased, but the EPS growth rate was calculated as negative (-71.2%). Although the company's performance increased compared to the previous year and EPS increased, the EPS growth rate was calculated as negative (-71.2%), leading to a calculation error (2018).

[0329] According to the expected PEG calculation method of the present invention, the EPS growth rate was correctly calculated to be positive (71.2%).

[0330] Fifth, according to the existing expected PEG calculation method, in the 2020 data, when a company incurred losses and had negative EPS (EPS of -239 KRW) (2019), even if it became profitable the following year (2020) (EPS of 364 KRW), the EPS growth rate was incorrectly calculated as negative (-252.3%), leading to an error in the calculated PEG value (-0.05) (2020). Therefore, this prevents investors from accurately determining the company's value.

[0331] According to the expected PEG calculation method of the present invention, the EPS growth rate was calculated to be positive (252.3%), and the expected PEG value was calculated to be positive (0.05), both calculations were correct.

[0332] As mentioned above, due to these problems with existing methods of calculating the expected PEG ratio, in actual business operations, the expected PEG ratio is only calculated and provided when a company is profitable and its performance is improving. As a result, for companies that turn from loss to profit, the inability to calculate their expected PEG ratio causes investors using the expected PEG ratio to miss investment opportunities.

[0333] According to the present invention, since the aforementioned errors in the calculation of expected PEG can be eliminated and the correct expected PEG value can be calculated, the expected PEG can be calculated annually at any time, provided that stock price data and EPS data are available. This allows for the generation of annual time-series data for investment. Furthermore, since stock prices fluctuate almost daily, PEG can also be calculated on a daily basis. Therefore, daily PEG time-series data can be generated and used for investment.

[0334] (4-2) Comparison of the effects of existing expected PEG and expected PEG according to the present invention on daily days

[0335] Figure 8 This is a schematic diagram illustrating an example of a comparison between the daily existing expected PEG and the expected PEG according to the present invention.

[0336] exist[ Figure 8 In this study, we arbitrarily assume a stock price and that as of December 29, 2022 (the stock market closing day), the company's earnings per share (EPS) shifted from a profit in 2021 to a loss in 2022, meaning the estimated EPS at the end of 2022 was negative. We also assume that from January 2, 2023 (the stock market opening day), the estimated EPS loss at the end of 2022 would reverse to a profit at the end of 2023. Based on this, we calculate the expected PEG ratio. Specifically, we assume an EPS of 290 KRW in 2021, an expected EPS (EPS ct) of -392 KRW in 2022, and an expected EPS (EPS t+1) of 105 KRW in 2023. The expected PEG ratio is then calculated daily. "Current one-year growth rate (%)" refers to the expected EPS growth rate (%) one year from now according to the current calculation method. "Invention one-year growth rate (%)" refers to the expected EPS growth rate (%) one year from now according to the present invention. "Expected PER" refers to the expected PER one year from now. "Current expected PEG" refers to the expected PEG one year from now according to the current calculation method. "Invention expected PEG" refers to the expected PEG one year from now according to the present invention. Numbers in parentheses indicate negative values.

[0337] The current expected PEG is calculated using the formula: "Expected PEG = Expected PER / Expected EPS growth rate". Further details are provided below:

[0338] If the stock price at the calculation date is P, the actual EPS of the previous year (t) is EPS t, the estimated (consensus forecast) EPS of the previous year (t) is EPS ct, and the expected EPS one year from the end of the previous year (t) is EPS t+1.

[0339] The expected PEG in 1 year (1YE PEG) can be calculated using the following formula based on existing methods.

[0340] 1YE PEG=(P / EPS t+1) / {(EPS t+1-EPS t) / EPS t×100}

[0341] The expected PEG one year later according to the present invention can be calculated using the above [Mathematical Formula 13].

[0342] 1YE PEG=ABS(P / EPS t+1) / {(EPS t+1-EPS t) / ABS(EPS t)×100}

[0343] Here, EPS t+1 is the EPS estimated one year later based on the consensus forecast, which uses the last day of the previous year as the basis for the calculation date.

[0344] When a company releases its earnings and the previous year's earnings per share (EPS) is known, this mathematical formula can be used for calculation. However, if the company's earnings have changed and the year has not yet been released, the expected PEG (Expected PEG in 1 year before earnings are disclosed: 1YBDE PEG) can be calculated using the following formula.

[0345] [Mathematical Expression 38]

[0346] 1YBDE PEG=ABS(P / EPS t+1) / {(EPS t+1-EPS ct) / ABS(EPS ct)×100}

[0347] Here, EPS ct = consensus forecast, which estimates EPS.

[0348] As of December 29, 2022, the daily expected PEG data was calculated using the expected PEG calculation method [Mathematical Formula 13] according to the present invention. Furthermore, from January 2, 2023 onwards, the daily expected PEG data was calculated using the expected PEG calculation method [Mathematical Formula 38] according to the present invention.

[0349] When calculating the expected EPS growth rate

[0350] Assuming EPS of 290 Korean Won in 2021, the expected EPS growth rate as of December 29, 2022, calculated using the existing method, was specifically calculated using the formula (-392-290) / 290×100=-235.3%; the expected EPS growth rate as of December 29, 2022, according to the present invention, was specifically calculated using the formula (-392-290) / ABS(290)×100=-235.3%; the expected EPS growth rate as of January 2, 2023, calculated using the existing method, was specifically calculated using the formula {105-(-392)} / -392×100=-126.8%; the expected EPS growth rate as of January 2, 2023, according to the present invention, was specifically calculated using the formula {105-(-392)} / ABS(-392)×100=126.8%.

[0351] Furthermore, when calculating the expected PEG,

[0352] The expected PEG on December 29, 2022, according to the existing calculation method, was specifically calculated using the formula -16.5 / {(-392-290) / 290×100}=0.070; the expected PEG according to the present invention on December 29, 2022, was specifically calculated using the formula ABS(-16.5) / {(-392-290) / ABS(290)×100}=-0.070; the expected PEG on January 2, 2023, according to the existing calculation method, was specifically calculated using the formula 58.1 / [{105-(-392)} / -392×100]=-0.458; the expected PEG according to the present invention on January 2, 2023, was specifically calculated using the formula ABS(58.1) / [{105-(-392)} / ABS(-392)×100]=0.458.

[0353] In the expected PEG calculation, since EPS is calculated on an annual basis, daily EPS remains the same throughout the year. Therefore, the expected EPS growth rate is also calculated as the same value throughout the year. However, when the year changes, and the expected EPS changes from a loss in the previous year (t) to a profit one year later (t+1), different growth rates are calculated based on the method used to calculate the expected EPS growth rate.

[0354] On December 29, 2022, the expected EPS growth rate was calculated as -235.2% using both existing and the method according to the present invention. However, on January 2, 2023, the expected EPS growth rate was -126.8% using the existing method and 126.8% using the method according to the present invention. The expected EPS increased from -392 won to 105 won, but the negative expected EPS growth rate (-126.8%) was incorrect; a positive value (126.8%) would have been correct.

[0355] Furthermore, the expected PEG ratio also differs. On December 29, 2022, the expected PEG was 0.070 using the existing calculation method, but -0.070 using the method according to the present invention. EPS was projected to decrease from 260 KRW to -392 KRW, and a positive expected PEG (0.070) at this point would be incorrect; a negative value (-0.070) would be correct.

[0356] On January 2, 2023, the expected PEG was -0.458 according to the existing calculation method, but 0.458 according to the method of the present invention. EPS was expected to increase from -392 won to 105 won, but the expected negative PEG (-0.458) was a calculation error, and the correct result was a positive value (0.458).

[0357] As mentioned above, the existing expected PEG calculation method yields results that do not match the company's expected performance and cannot be used as a daily investment indicator. However, the expected PEG calculation method of this invention yields results that match the company's expected performance and can therefore be used as a daily investment indicator. Therefore, there is a significant difference between the two in this respect.

[0358] (4-3) Comparison of the effects of existing expected PEG and expected PEG according to the present invention over the past 12 months

[0359] Figure 9 This is a schematic diagram illustrating an example of a comparison between the expected PEG of the current year for the most recent 12 months according to an implementation of the present invention and the expected PEG of the most recent 12 months according to the present invention.

[0360] exist[ Figure 9In this figure, the stock price and full-year EPS are arbitrary hypothetical values. The EPS for the most recent 12 months after 2015 is calculated based on March 10th of each year. The EPS for the most recent 12 months based on March 10th, 2015 is assumed to be -150 KRW. The expected EPS for the most recent 12 months after March 10th, 2015, based on March 10th of each year, is calculated using the annual EPS of each year based on arbitrary hypotheticals and using [Mathematical Formula 23]. Furthermore, if we assume the full-year EPS for 2022 is 300 KRW, then the expected EPS for the most recent 12 months based on March 10th, 2021, is calculated to be 258 KRW. The expected EPS growth rate (%) for the most recent 12 months after 2021 is calculated based on this. Additionally, "Expected EPS growth rate (%) for the most recent 12 months after one year" refers to the expected EPS growth rate (%) for the most recent 12 months after one year according to the existing calculation method; "Expected EPS growth rate (%) for the most recent 12 months after one year according to the present invention" refers to the expected EPS growth rate (%) for the most recent 12 months after one year according to the present invention; "Expected PEG for the most recent 12 months after one year" refers to the expected PEG for the most recent 12 months after one year according to the existing calculation method; and "Expected PEG for the most recent 12 months after one year according to the present invention" refers to the expected PEG for the most recent 12 months after one year according to the present invention. Numbers in parentheses indicate negative values.

[0361] The current expected PEG for the most recent 12 months is calculated using the formula: "Expected PEG for the most recent 12 months = Expected PER for the most recent 12 months / Expected EPS growth rate for the most recent 12 months".

[0362] To further clarify:

[0363] If the stock price on the calculation date is P, the EPS for the most recent 12 months from the month preceding the calculation date is EPS ttm, and the expected EPS for the most recent 12 months one year from the month preceding the calculation date is EPS ttm+1.

[0364] The existing expected PEG in 1-year trailing twelve months (1YE PEG ttm) can be calculated using the following formula.

[0365] 1YE PEG ttm=(P / EPS ttm+1) / {(EPS ttm+1-EPS ttm) / (EPS ttm)×100}

[0366] The expected PEG in 1-year trailing twelve months (1YE PEG ttm) according to the present invention can be calculated using the above [Mathematical Formula 32].

[0367] 1YE PEG ttm=ABS(P / EPS ttm+1) / {(EPS ttm+1-EPS ttm) / ABS(EPS ttm)×100}

[0368] Here, the expected EPS for the most recent 12 months after one year, namely EPS ttm+1, is calculated using the above [Mathematical Formula 23], namely EPSttm+1=EPS t+1×{(12-M+1) / 12}+EPS t+2×{(M-1) / 12}. The EPS for the most recent 12 months, namely EPS ttm, is historical data and therefore always exists.

[0369] As mentioned above, the two methods for calculating the expected PEG differ, therefore the calculated results, i.e., the expected PEG values, will also differ. If we compare the existing expected PEG for the most recent 12 months with the expected PEG for the most recent 12 months according to the present invention, then as […] Figure 9 As shown in the image.

[0370] according to[ Figure 9 The effects of comparing the existing expected PEG ratio for the most recent 12 months with the expected PEG ratio for the most recent 12 months according to the present invention are as follows:

[0371] First, based on the existing method for calculating the projected PEG ratio, in the 2016 data, when a company went from a loss-making state (EPS of -213 for the most recent 12 months) to a loss-making state (EPS of -77 Korean Won for the most recent 12 months) a year later (2017), i.e., a reduction in losses, the projected EPS growth rate was incorrectly calculated as a negative value (-64.1%). Although the actual EPS in 2017 increased compared to 2016, the projected EPS growth rate was calculated as negative (-64.1%), thus failing to accurately reflect the actual situation.

[0372] According to the expected PEG calculation method of the present invention, the expected EPS growth rate is positive (64.1%) due to the narrowing of losses, and the expected PEG value is also positive (0.285), and the calculations are all correct.

[0373] Second, according to the existing method for calculating the expected PEG ratio, in the 2017 data, even though the company went from a loss-making state (EPS of -77 KRW in the most recent 12 months) to a profitable state in the following year (2018) (EPS of 45 KRW in the most recent 12 months), and even though EPS turned from loss to profit, the expected EPS growth rate was calculated as negative (-158.7%). In reality, EPS increased, but the expected EPS growth rate was calculated as negative, which is a significant calculation error (2017). Furthermore, because the expected PER for the most recent 12 months was positive (58.9), the expected PEG for the most recent 12 months was calculated as negative (-0.371), resulting in a calculation error. Even with performance growth leading to a profit (EPS of 45 KRW in the most recent 12 months), the expected PEG was calculated as negative (-0.371), which is a significant calculation error.

[0374] According to the expected PEG calculation method of the present invention, since the actual growth of EPS is reflected, the expected EPS growth rate is calculated to be positive (158.7%), thus correctly calculating the expected EPS growth rate, and the expected PEG is also calculated to be positive (0.371). In this respect, the existing expected PEG representation for the most recent 12 months is significantly different from the expected PEG representation for the most recent 12 months according to the present invention.

[0375] Third, in the 2020 data, the company's full-year EPS was -150 won, but the EPS for the most recent 12 months based on March 10, 2020, was 58 won. By the end of 2021, the full-year EPS was 250 won, turning into a profit. During this process, the expected EPS for the most recent 12 months based on March 10 was calculated as a loss (-83 won). According to the existing expected PEG calculation method, although the expected EPS growth rate for the most recent 12 months one year after March 10, 2020, was accurately calculated as negative (-242.9%), the expected PEG for the most recent 12 months was calculated as positive (0.138) when the EPS narrowed from a profit (58 won) to a loss (-83 won), resulting in a calculation error.

[0376] According to the expected PEG calculation method of the present invention, since the actual decline in EPS is reflected, the expected EPS growth rate is calculated as negative (-242.9%), thus correctly calculating the expected EPS growth rate, and the expected PEG for the most recent 12 months is also correctly calculated as negative (-0.138). In this respect, the existing expected PEG representation for the most recent 12 months differs significantly from the expected PEG representation for the most recent 12 months according to the present invention.

[0377] Fourth, while the full-year EPS for 2021 is projected to reach 250 won, the EPS for the most recent 12 months as of March 10, 2021, is negative (-83 won), indicating a loss. Furthermore, assuming an EPS of 300 won by the end of 2022, the projected EPS for the most recent 12 months in 2022 is calculated to be 258 won.

[0378] The company's EPS is projected to turn from a loss of -83 won in 2021 to a profit of 258 won in 2022. However, based on existing calculation methods, the projected EPS growth rate for the next 12 months is calculated to be negative (-410.0%), indicating a calculation error. Furthermore, the projected PEG ratio for the next 12 months is also calculated to be negative (-0.052), resulting in an inaccurate reflection of the turnaround performance (258 won). Therefore, this raises the issue of investors being unable to accurately assess the company's value.

[0379] According to the PEG calculation method of the present invention, the expected EPS growth rate (410.0%) and the expected PEG value (0.052) for the most recent 12 months after 2021 are both accurately calculated. In this respect, the existing representation of the expected PEG for the most recent 12 months after 2021 differs significantly from the representation of the expected PEG for the most recent 12 months after 2021 according to the present invention.

[0380] As mentioned above, due to these problems with the existing 12-month forward PEG calculation method, it is not possible to provide a 12-month forward PEG for companies whose performance has turned from loss to profit, causing investors who use the 12-month forward PEG to miss investment opportunities.

[0381] According to the present invention, since the aforementioned errors in calculating the expected PEG for the most recent 12 months can be eliminated and the correct expected PEG value for the most recent 12 months can be calculated, the expected PEG for the most recent 12 months can be calculated at any time as long as stock price data and EPS data are available, thereby generating time series data on an annual basis for investment. Furthermore, since stock prices fluctuate almost daily, the expected PEG for the most recent 12 months can also be calculated on a daily basis. Therefore, it is possible to generate time series data of expected PEG for the most recent 12 months on a daily basis for investment.

[0382] Through the implementation described above, this invention solves the inconveniences and problems existing in using existing expected PEG analysis of corporate information. The server calculates various expected PEG data by receiving stock price and EPS data from entities providing financial market and corporate-related data, thereby generating time-series expected PEG data to achieve the objectives of this invention.

[0383] Best practice

[0384] The present invention has been described primarily with reference to the preferred embodiments in the accompanying drawings. However, based on these descriptions, various modifications can be made without departing from the scope of the claims, i.e., the scope of the present invention.

[0385] Industrial applicability

[0386] First, this invention can be provided as a commercial purpose to information providers such as securities companies, organizations, and general investors.

[0387] Secondly, this invention helps to broaden the perspective of quantitative market analysis, and therefore can be used as a financial education tool.

Claims

1. A business information analysis system using expected PEG, characterized in that, The enterprise information analysis system that uses the expected PEG includes: (a) Parameter setting unit, set to the parameters required for analyzing the enterprise; (b) Data collection unit, which collects stock price and EPS data required by the server for analyzing the expected PEG; (c) The data processing unit, when performing PEG calculation processing on the data and formulas collected in (b) above, uses [Mathematical Formula 13], [Mathematical Formula 14], [Mathematical Formula 15], [Mathematical Formula 16], [Mathematical Formula 17] and [Mathematical Formula 38] to calculate the expected PEG; and uses [Mathematical Formula 32], [Mathematical Formula 33] and [Mathematical Formula 34] to calculate the expected PEG for the most recent 12 months. (d) A storage unit that stores the data used for analysis and the expected PEG calculation results on a server; and (e) Display unit, displaying on the screen the enterprise information and expected PEG data analyzed and stored in the server. [Mathematical Expression 13] 1YE PEG=ABS(P / EPS t+1) / {(EPS t+1-EPS t) / ABS(EPS t)×100} Here, 1-Year PEG = Expected PEG in 1 Year (1-Year PEG) P = Stock price on the calculation date EPS t = EPS of the previous year in the year in which the calculation date is located EPS t+1 = Expected EPS one year from the end of the previous year (based on the year preceding the calculation date). ABS = Absolute Value [Mathematical Expression 14] 2YE PEG=ABS(P / EPS t+2) / {(EPS t+2-EPS t+1) / ABS(EPS t+1)×100} Here, 2YE PEG = Expected PEG in 2 years (2YE PEG) P = Stock price on the calculation date EPS t+1 = Expected EPS one year from the end of the previous year (based on the year preceding the calculation date). EPS t+2 = Expected EPS two years from the end of the year preceding the year in which the calculation date is calculated. ABS = Absolute Value [Mathematical Expression 15] 3YE PEG=ABS(P / EPS t+3) / {(EPS t+3-EPS t+2) / ABS(EPS t+2)×100} Here, 3YE PEG = Expected PEG in 3 years (3YE PEG) P = Stock price on the calculation date EPS t+2 = Expected EPS two years from the end of the year preceding the year in which the calculation date is calculated. EPS t+3 = Expected EPS three years from now, based on the last day of the year preceding the calculation date. ABS = Absolute Value [Mathematical Expression 16] 2YAE PEG=ABS[P / {(EPS t+1+EPS t+2) / 2}] / [{(EPS t+1+EPS t+2) / 2-EPS t} / ABS(EPS t)×100] Here, 2YAE PEG = 2-Year Average Expected PEG (2YAE PEG) P = Stock price on the calculation date EPS t = EPS of the previous year in the year in which the calculation date is located EPS t+1 = Expected EPS one year from the end of the previous year (based on the year preceding the calculation date). EPS t+2 = Expected EPS two years from the end of the year preceding the year in which the calculation date is calculated. ABS = Absolute Value [Mathematical Expression 17] 3YAE PEG=ABS[P / {(EPS t+1+EPS t+2+EPS t+3) / 3}] / [{(EPS t+1+EPS t+2+EPS t+3) / 3-EPS t} / ABS(EPS t)×100] Here, 3YAE PEG = 3-Year Average Expected PEG (3YAE PEG) P = Stock price on the calculation date EPS t = EPS of the previous year in the year in which the calculation date is located EPS t+1 = Expected EPS one year from the end of the previous year (based on the year preceding the calculation date). EPS t+2 = Expected EPS two years from the end of the year preceding the year in which the calculation date is calculated. EPS t+3 = Expected EPS three years from now, based on the last day of the year preceding the calculation date. ABS = Absolute Value [Mathematical Expression 38] 1YBDE PEG=ABS(P / EPS t+1) / {(EPS t+1-EPS ct) / ABS(EPS ct)×100} Here, 1YBDE PEG = Expected PEG in 1 year before earnings are disclosed (1YBDE PEG) P = Stock price on the calculation date EPS ct = Expected EPS (consensus forecast, estimated EPS) of the previous year (t) in the year in which the calculation date is located. EPS t+1 = Expected EPS one year from the end of the previous year (based on the year preceding the calculation date). ABS = Absolute Value [Mathematical Expression 32] 1YE PEG ttm=ABS(P / EPS ttm+1) / {(EPS ttm+1-EPS ttm) / ABS(EPS ttm)×100} Here, 1YE PEG ttm = Expected PEG in 1-Year Trailing Twelve Months (1YE PEG ttm) P = Stock price on the calculation date EPS ttm = EPS of the most recent 12 months preceding the month in which the calculation date is located. EPS ttm+1 = Expected EPS for the most recent 12 months following the year preceding the calculation date. ABS = Absolute Value [Mathematical Expression 33] 2YE PEG ttm=ABS(P / EPS ttm+2) / {(EPS ttm+2-EPS ttm+1) / ABS(EPS ttm+1)×100} Here, 2YE PEG ttm = Expected PEG Trailing TwelveMonths in 2 years (2YE PEG ttm) P = Stock price on the calculation date EPS ttm+1 = Expected EPS for the most recent 12 months following the year preceding the calculation date. EPS ttm+2 = Expected EPS for the most recent 12 months two years from the month preceding the calculation date. ABS = Absolute Value [Mathematical Expression 34] 2YAE PEG ttm=ABS[P / {(EPS ttm+1+EPS ttm+2) / 2}] / [{(EPS ttm+1+EPS ttm+2) / 2-EPS ttm} / ABS(EPS ttm)×100] Here, 2YAE PEG ttm = 2-Year Average Expected PEG (Trailing Twelve Months) ttm P = Stock price on the calculation date EPS ttm = EPS of the most recent 12 months preceding the month in which the calculation date is located. EPS ttm+1 = Expected EPS for the most recent 12 months following the year preceding the calculation date. EPS ttm+2 = Expected EPS for the most recent 12 months two years from the month preceding the calculation date. ABS = Absolute Value.

2. A method for analyzing enterprise information using expected PEG, executed via a server, characterized in that, The enterprise information analysis method using the expected PEG includes the following steps: (a) Parameter setting steps, setting parameters required for analyzing the enterprise; (b) Data collection steps: collect the stock price and EPS data required for server analysis of the expected PEG; (c) Data processing steps: When performing PEG calculations using the data and formulas collected in (b) above, when calculating the expected PEG, [Mathematical Formula 13], [Mathematical Formula 14], [Mathematical Formula 15], [Mathematical Formula 16], [Mathematical Formula 17] and [Mathematical Formula 38] are used for calculation; (d) Storage step: Storing the data used for analysis and the expected PEG calculation results on the server; and (e) Display steps: Show the enterprise information and expected PEG data analyzed and stored in the server on the screen. [Mathematical Expression 13] 1YE PEG=ABS(P / EPS t+1) / {(EPS t+1-EPS t) / ABS(EPS t)×100} Here, 1-Year PEG = Expected PEG in 1 Year (1-Year PEG) P = Stock price on the calculation date EPS t = EPS of the previous year in the year in which the calculation date is located EPS t+1 = Expected EPS one year from the end of the previous year (based on the year preceding the calculation date). ABS = Absolute Value [Mathematical Expression 14] 2YE PEG=ABS(P / EPS t+2) / {(EPS t+2-EPS t+1) / ABS(EPS t+1)×100} Here, P = Stock price on the calculation date 2YE PEG = Expected PEG in 2 years (2YE PEG) EPS t+1 = Expected EPS one year from the end of the previous year (based on the year preceding the calculation date). EPS t+2 = Expected EPS two years from the end of the year preceding the year in which the calculation date is calculated. ABS = Absolute Value [Mathematical Expression 15] 3YE PEG=ABS(P / EPS t+3) / {(EPS t+3-EPS t+2) / ABS(EPS t+2)×100} Here, 3YE PEG = Expected PEG in 3 years (3YE PEG) P = Stock price on the calculation date EPS t+2 = Expected EPS two years from the end of the year preceding the year in which the calculation date is calculated. EPS t+3 = Expected EPS three years from now, based on the last day of the year preceding the calculation date. ABS = Absolute Value [Mathematical Expression 16] 2YAE PEG=ABS[P / {(EPS t+1+EPS t+2) / 2}] / [{(EPS t+1+EPS t+2) / 2-EPS t} / ABS(EPS t)×100] Here, 2YAE PEG = 2-Year Average Expected PEG (2YAE PEG) P = Stock price on the calculation date EPS t = EPS of the previous year in the year in which the calculation date is located EPS t+1 = Expected EPS one year from the end of the previous year (based on the year preceding the calculation date). EPS t+2 = Expected EPS two years from the end of the year preceding the year in which the calculation date is calculated. ABS = Absolute Value [Mathematical Expression 17] 3YAE PEG=ABS[P / {(EPS t+1+EPS t+2+EPS t+3) / 3}] / [{(EPS t+1+EPS t+2+EPS t+3) / 3-EPS t} / ABS(EPS t)×100] Here, 3YAE PEG = 3-Year Average Expected PEG (3YAE PEG) P = Stock price on the calculation date EPS t = EPS of the previous year in the year in which the calculation date is located EPS t+1 = Expected EPS one year from the end of the previous year (based on the year preceding the calculation date). EPS t+2 = Expected EPS two years from the end of the year preceding the year in which the calculation date is calculated. EPS t+3 = Expected EPS three years from now, based on the last day of the year preceding the calculation date. ABS = Absolute Value [Mathematical Expression 38] 1YBDE PEG=ABS(P / EPS t+1) / {(EPS t+1-EPS ct) / ABS(EPS ct)×100} Here, 1YBDE PEG = Expected PEG in 1 year before earnings are disclosed (1YBDE PEG) P = Stock price on the calculation date EPS ct = Expected EPS (consensus forecast, estimated EPS) of the previous year (t) in the year in which the calculation date is located. EPS t+1 = Expected EPS one year from the end of the previous year (based on the year preceding the calculation date). ABS = Absolute Value.

3. A method for analyzing enterprise information using expected PEG, executed via a server, characterized in that, The enterprise information analysis method using the expected PEG includes the following steps: (a) Parameter setting steps, setting parameters required for analyzing the enterprise; (b) Data collection steps: collect the stock price and EPS data required for server analysis of the expected PEG; (c) Data calculation steps: When performing PEG calculations using the data and formulas collected in (b) above, when calculating the expected PEG for the most recent 12 months, [Mathematical Formula 32], [Mathematical Formula 33] and [Mathematical Formula 34] are used for the calculation; (d) Storage step: Storing the data used for analysis and the expected PEG calculation results on the server; and (e) Display steps: Show the enterprise information and expected PEG data analyzed and stored in the server on the screen. [Mathematical Expression 32] 1YE PEG ttm=ABS(P / EPS ttm+1) / {(EPS ttm+1-EPS ttm) / ABS(EPS ttm)×100} Here, 1YE PEG ttm = Expected PEG in 1-Year Trailing Twelve Months (1YE PEG ttm) P = Stock price on the calculation date EPS ttm = EPS of the most recent 12 months preceding the month in which the calculation date is located. EPS ttm+1 = Expected EPS for the most recent 12 months following the year preceding the calculation date. ABS = Absolute Value [Mathematical Expression 33] 2YE PEG ttm=ABS(P / EPS ttm+2) / {(EPS ttm+2-EPS ttm+1) / ABS(EPS ttm+1)×100} Here, 2YE PEG ttm = Expected PEG Trailing TwelveMonths in 2 years (2YE PEG ttm) P = Stock price on the calculation date EPS ttm+1 = Expected EPS for the most recent 12 months following the year preceding the calculation date. EPS ttm+2 = Expected EPS for the most recent 12 months two years from the month preceding the calculation date. ABS = Absolute Value [Mathematical Expression 34] 2YAE PEG ttm=ABS[P / {(EPS ttm+1+EPS ttm+2) / 2}] / [{(EPS ttm+1+EPS ttm+2) / 2-EPS ttm} / ABS(EPS ttm)×100] Here, 2YAE PEG ttm = 2-Year Average Expected PEG Trailing Twelve Months (2YAE PEG ttm) P = Stock price on the calculation date EPS ttm = EPS of the most recent 12 months preceding the month in which the calculation date is located. EPS ttm+1 = Expected EPS for the most recent 12 months following the year preceding the calculation date. EPS ttm+2 = Expected EPS for the most recent 12 months two years from the month preceding the calculation date. ABS = Absolute Value.

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