Information processing apparatus, information processing method, and program

Abstract

To analyze an enterprise.SOLUTION: An analysis unit that analyzes a relationship between a PriceBook-valueRatio and a patent portfolio in a predetermined period for a target company to be processed on the basis of information on a PriceBook-valueRatio (PBR) of the company and information on a patent of the company; and an outputting process unit that outputs an analysis result of the relationship between the PriceBook-valueRatio and the patent portfolio.SELECTED DRAWING: Figure 13

Description

[Technical Field]

[0001] The present disclosure relates to an information processing device, an information processing method, and a program. [Background technology]

[0002] For example, Patent Document 1 discloses a technique for calculating various financial indicator values ​​based on past financial statement data released by a company. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2002-015108 Summary of the Invention [Problem to be solved by the invention]

[0004] One of the most common indicators for evaluating corporate value and stock prices is the "Price Book-Value Ratio" (hereinafter referred to as "PBR"). PBR is used, for example, to determine whether a stock price is undervalued or overvalued, to determine corporate value, or to make investment decisions about a company. As mentioned above, PBR is one of the useful indicators for analyzing a company, but looking at this indicator alone does not provide a sufficient analysis.

[0005] The present disclosure proposes a new and improved information processing device, information processing method, and program capable of analyzing a company. [Means for solving the problem]

[0006] According to the present disclosure, an information processing device is provided, which includes an analysis unit that analyzes the relationship between a price-to-book ratio and a patent portfolio for a target company to be processed over a specified period based on information regarding the price-to-book ratio of the company and information regarding the company's patents, and an output processing unit that outputs the analysis results of the relationship.

[0007] Furthermore, according to the present disclosure, an information processing method is provided, which includes a step of analyzing the relationship between the price-to-book ratio and the patent portfolio of a target company to be processed over a predetermined period based on information regarding the price-to-book ratio of the company and information regarding the company's patents, and a step of outputting the analysis results of the relationship.

[0008] Furthermore, according to the present disclosure, a program is provided for enabling a computer to perform a function of analyzing the relationship between the price-to-book ratio and the patent portfolio of a target company to be processed over a specified period of time based on information regarding the price-to-book ratio of the company and information regarding the company's patents, and a function of outputting the analysis results of the relationship. [Effects of the Invention]

[0009] According to the present disclosure, a company can be analyzed.

[0010] The above effects are not necessarily limiting, and any of the effects described in this specification or other effects that can be understood from this specification may be achieved in addition to or instead of the above effects. [Brief explanation of the drawings]

[0011] [Figure 1] FIG. 2 is an explanatory diagram showing an example of processing related to an information processing method according to the embodiment. [Figure 2] FIG. 10 is an explanatory diagram illustrating an example of an analysis result according to the present embodiment. [Figure 3] FIG. 10 is an explanatory diagram illustrating an example of an analysis result according to the present embodiment. [Figure 4]FIG. 10 is an explanatory diagram illustrating an example of an analysis result according to the present embodiment. [Figure 5] FIG. 10 is an explanatory diagram illustrating an example of an analysis result according to the present embodiment. [Figure 6] FIG. 10 is an explanatory diagram illustrating an example of an analysis result according to the present embodiment. [Figure 7] FIG. 10 is an explanatory diagram illustrating an example of an analysis result according to the present embodiment. [Figure 8] FIG. 10 is an explanatory diagram illustrating an example of an analysis result according to the present embodiment. [Figure 9] FIG. 10 is an explanatory diagram illustrating an example of an analysis result according to the present embodiment. [Figure 10] FIG. 10 is an explanatory diagram illustrating an example of an analysis result according to the present embodiment. [Figure 11] FIG. 10 is an explanatory diagram illustrating an example of an analysis result according to the present embodiment. [Figure 12] FIG. 10 is an explanatory diagram illustrating an example of an analysis result according to the present embodiment. [Figure 13] 1 is a block diagram illustrating an example of a configuration of an information processing device according to an embodiment of the present invention. [Figure 14] FIG. 1 is an explanatory diagram illustrating an example of a hardware configuration of an information processing device according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0012] Preferred embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. In this specification and drawings, components having substantially the same functional configurations are designated by the same reference numerals, and redundant description will be omitted.

[0013] (Information processing method according to this embodiment) First, an information processing method according to the present embodiment, which is capable of analyzing a company, will be described. Hereinafter, the information processing method according to the present embodiment will be described using an example in which the processing according to the information processing method according to the present embodiment is performed by an information processing device according to the present embodiment.

[0014] As mentioned above, PBR is one of the useful indicators for analyzing a company. Here, PBR can be calculated using the "stock price" and "book-value per share" (hereinafter referred to as "BPS") using the following formula 1. It is said that one of the determining factors for the stock price used to calculate PBR is the company's expected future earnings. PBR = (stock price) / (BPS) (Equation 1)

[0015] BPS can be calculated by dividing net assets by the number of issued shares, as shown in the following formula 2. The higher the BPS value, the more stable the company is evaluated to be. BPS = (Net assets) / (Number of shares issued) (Equation 2)

[0016] PBR is one of the useful indicators for analyzing a company, but as mentioned above, looking at this indicator alone does not provide a sufficient analysis.

[0017] Therefore, the information processing device according to this embodiment analyzes the relationship between the PBR of a company to be processed and the patent portfolio of the company.

[0018] Here, the patent portfolio according to this embodiment indicates, for example, how many patent applications a company holds, how many patents a company holds, or how many patent applications and patents a company holds. The patent portfolio according to this embodiment is also called a patent network. In other words, the patent portfolio of a company according to this embodiment can be expressed, for example, by either or both the number of patent applications held by the company and the number of patents held by the company.

[0019] The number of patent applications according to this embodiment may be, for example, the number of patent applications in a specified country or region, such as Japan, the United States, or Europe, or the total number of these patent applications. The countries or regions may be preset or may be selected and set by the user. Note that the number of patent applications according to this embodiment is not limited to the above. For example, the number of patent applications according to this embodiment may be the number of patent families related to patent applications. A patent family related to patent applications according to this embodiment is a group of patent applications filed in multiple countries or regions that are linked by priority. If the number of patent applications according to this embodiment is the number of patent families related to patent applications, it is possible to avoid duplicate counting of patent applications linked by priority. Furthermore, if the number of patent applications according to this embodiment is the number of patent families related to patent applications, the number of patent families related to patent applications can be used in analyses performed without limiting the number of countries or regions.

[0020] Furthermore, the number of patents according to this embodiment may be, for example, the number of patents in a specified country or region, such as Japan, the United States, or Europe, or the total number of these patents. The country or region may be preset or may be selected and set by the user. Note that the number of patents according to this embodiment is not limited to the above. For example, the number of patents according to this embodiment may be the number of patent families related to patents. A patent family related to a patent according to this embodiment is a group of patents in multiple countries or regions that are linked by priority. If the number of patents according to this embodiment is the number of patent families related to patents, it is possible to avoid duplicate counting of patents linked by priority. Furthermore, if the number of patents according to this embodiment is the number of patent families related to patents, the number of patent families related to patents can be used in analyses performed without limiting the country or region.

[0021] Because patent applications, patent rights acquisition, and patent maintenance are costly, the number of patent applications filed by a company and / or the number of patents held by the company can be used as an indicator of how much a company is investing in intellectual property.

[0022] Analyzing the relationship between a company's PBR and its patent portfolio corresponds to, for example, analyzing the relationship between a company's PBR and its investment in intellectual property. In other words, the information processing device according to this embodiment can, for example, correlate and analyze the PBR and the investment efficiency of a company by analyzing the relationship between the company's PBR and its patent portfolio for the company being processed.

[0023] The process related to the information processing method according to this embodiment will be described in more detail below. Fig. 1 is an explanatory diagram showing an example of the process related to the information processing method according to this embodiment.

[0024] The information processing device of this embodiment analyzes the relationship between the price-to-book ratio (PBR) and patent portfolio of the target company to be processed over a specified period based on information regarding the company's price-to-book ratio and information regarding the company's patents (S100. Analysis process).

[0025] Here, information related to price-to-book ratio is, for example, data that can identify PBR. Examples of information related to price-to-book ratio include data that directly indicates PBR, such as data that indicates PBR or data that includes PBR.

[0026] Note that the information regarding the price-to-book ratio is not limited to the above. For example, the information regarding the price-to-book ratio may be data from which the PBR can be calculated, i.e., data that indirectly indicates the PBR. Examples of data from which the PBR can be calculated include stock price data and financial statement data, and stock price data and data indicating the BPS.

[0027] The information about the price-to-book-value ratio is stored in, for example, a recording medium. In this case, the information processing device according to the present embodiment acquires the information about the price-to-book-value ratio by reading the information about the price-to-book-value ratio stored in the recording medium from the recording medium, and performs processing. Here, the recording medium on which the information about the price-to-book-value ratio is stored may be included in the information processing device according to the present embodiment, or may be a recording medium external to the information processing device according to the present embodiment.

[0028] The information processing device according to this embodiment acquires, for example, information relating to a price-to-book-asset ratio corresponding to a predetermined period. Examples of information relating to a price-to-book-asset ratio corresponding to a predetermined period include information relating to the latest price-to-book-asset ratio for the predetermined period. The information processing device according to this embodiment may also acquire information relating to the latest price-to-book-asset ratio regardless of the predetermined period.

[0029] It should be noted that the method of acquiring information about the price-to-book-value ratio according to this embodiment is not limited to the example shown above. For example, the information processing device according to this embodiment may acquire information about the price-to-book-value ratio by communicating with an external device via a network (or directly). Here, examples of the network according to this embodiment include wired networks such as LANs (Local Area Networks) and WANs (Wide Area Networks), wireless networks such as wireless LANs (Wireless Local Area Networks) and wireless WANs (Wireless Wide Area Networks) via base stations, and the Internet using communication protocols such as TCP / IP (Transmission Control Protocol / Internet Protocol).

[0030] When information related to the price-to-book-value ratio is acquired via communication, the information related to the price-to-book-value ratio may be acquired actively or passively. Examples of active acquisition of information related to the price-to-book-value ratio in the information processing device according to this embodiment include communication for acquisition based on a user operation, and communication for acquisition at a predetermined timing such as the timing of an earnings announcement. Examples of passive acquisition of information related to the price-to-book-value ratio in the information processing device according to this embodiment include reception by the information processing device according to this embodiment of information related to the price-to-book-value ratio transmitted from an external device (or an external program).

[0031] The patent-related information according to this embodiment is, for example, data that can identify a company's patent portfolio. Examples of the patent-related information according to this embodiment include data that directly indicates at least one of the number of patent applications and the number of patents, such as data that indicates at least one of the number of patent applications and the number of patents, or data that includes at least one of the number of patent applications and the number of patents.

[0032] It should be noted that the information relating to patents according to this embodiment is not limited to the above. For example, the information relating to patents according to this embodiment may be data that allows for indirect calculation of at least one of the number of patent applications and the number of patents. Examples of data that allows for indirect calculation of at least one of the number of patent applications and the number of patents include database data of patent applications and database data of patents.

[0033] Information about patents is stored, for example, on a recording medium. In this case, the information processing device according to this embodiment acquires and processes the patent information by reading the patent information stored in the recording medium from the recording medium. The information processing device according to this embodiment, for example, reads information about patents that satisfy set conditions from the recording medium. The conditions for acquiring the patent information according to this embodiment may be preset conditions or may be set by a user. Examples of the conditions for acquiring the patent information include one or both of the following: a condition related to the state of a patent application, such as a condition for setting the pendency status of the patent application at the patent office or the status of the patent's existence; and a condition related to the scope of the analysis, such as a condition for setting the country or region to be analyzed or a condition for setting the patent family. Setting a condition for setting the pendency status of a patent application at the patent office enables, for example, an analysis that includes patent applications that have not been granted, or an analysis that uses only patent applications that are pending at the patent office, excluding patent applications that have not been granted. Furthermore, setting a condition for setting the status of the patent's existence enables an analysis that includes invalid patents, or an analysis that uses only valid patents, excluding invalid patents. Furthermore, by setting conditions regarding the scope of the analysis target, it becomes possible to perform, for example, an analysis limited to a country or region, or a comprehensive analysis targeting a patent family. Note that the conditions for acquiring information related to patents according to this embodiment are not limited to the examples shown above. For example, the conditions for acquiring information related to patents may include conditions regarding the setting of target companies to be processed. The method for setting target companies according to this embodiment will be described later.

[0034] The recording medium on which the patent-related information is stored may be included in the information processing device according to this embodiment, or may be an external recording medium to the information processing device according to this embodiment. Furthermore, the recording medium on which the patent-related information is stored may be the same as or different from the recording medium on which the price-to-book ratio-related information is stored.

[0035] The method of acquiring information related to patents according to the present embodiment is not limited to the above example. For example, the information processing device according to the present embodiment may acquire information related to patents by communicating with an external device via a network (or directly).

[0036] When patent-related information is acquired via communication, the patent-related information may be acquired actively or passively. Active acquisition of patent-related information in the information processing device according to this embodiment may involve, for example, communication for acquisition based on user operation. When active acquisition of patent-related information is performed, the information processing device according to this embodiment transmits a signal including conditions for acquiring patent-related information and a transmission request to an external device (or an external program). In this case, the information processing device according to this embodiment can receive patent-related information that satisfies set conditions transmitted from the external device (or external program). Passive acquisition of patent-related information in the information processing device according to this embodiment may involve, for example, the information processing device according to this embodiment receiving patent-related information transmitted from an external device (or external program).

[0037] The target company to be processed according to this embodiment is set, for example, by the user selecting the company to be processed. The target company may be one or more.

[0038] If one target company is set, an analysis is conducted for that one target company, and as a result, for example, the PBR of one target company is analyzed in relation to the company's investment efficiency.

[0039] In addition, when multiple target companies are set, analysis is performed on all of the set target companies, and as a result, for example, the PBR of each target company is correlated with the investment efficiency of the company. Furthermore, when multiple target companies are set, the validity of the analysis results can be further judged by looking at the correlation between the analysis results of each target company.

[0040] It should be noted that the method of setting target companies according to this embodiment is not limited to the example shown above. For example, if target companies are grouped in advance, the target companies may be set by the user selecting a group. Examples of grouping target companies include grouping by stock code or by industry. It should be noted that examples of grouping target companies are not limited to the above, and target companies may be grouped based on any viewpoint.

[0041] The predetermined period according to this embodiment is used, for example, to determine information about patents to be used in the analysis. For example, if three years is set as the predetermined period, the information processing device according to this embodiment identifies information about patents corresponding to a period going back three years from the time of analysis, and uses the identified information about patents for processing. While the above example illustrates a case where three years is set as the predetermined period, the same applies when other periods, described below, are set as the predetermined period.

[0042] As in the example shown above, when a period going back from the time of analysis is set as the predetermined period, the number of patent applications in the period close to the time of analysis, or the number of patents in the period close to the time of analysis, is used in the analysis. In other words, when a period going back from the time of analysis is set as the predetermined period, the analysis results are equivalent to looking at "recentness" in terms of the number of patent applications or patents.

[0043] The predetermined period according to this embodiment may be, for example, a fixed period that is set in advance, such as a period of three or five years that corresponds to a company's mid-term plan.

[0044] The predetermined period according to this embodiment is not limited to the example shown above. For example, another example of the predetermined period according to this embodiment is a variable period set by the user. By making the predetermined period a variable period, it becomes possible to set different periods for the same target company and perform analysis, for example. Examples of variable periods include a period specified as "8 years" and a period specified as an end date as "before 8 years." It goes without saying that examples of variable periods are not limited to the examples shown above.

[0045] Furthermore, the predetermined period according to this embodiment may be a period set in accordance with, for example, information relating to the price-to-book ratio. An example of the predetermined period being set in accordance with information relating to the price-to-book ratio is when the predetermined period is dynamically set to match a period corresponding to a company's medium-term plan, which is included in the information relating to the price-to-book ratio.

[0046] If there are multiple target companies, there may be multiple periods corresponding to the medium-term plan. In this case, if the predetermined period is set corresponding to information on the price-to-book ratio, the information processing device according to this embodiment, for example, selects one period from the candidate predetermined periods corresponding to each target company and sets the selected period as the predetermined period. For example, the information processing device according to this embodiment sets the candidate predetermined period with the largest number of target companies corresponding to each candidate predetermined period as the predetermined period. It goes without saying that the method for setting the predetermined period in the above case is not limited to the example shown above.

[0047] The information processing device of this embodiment analyzes the relationship between PBR and patent portfolio for a specified period for a target company to be processed, based on, for example, information regarding price-to-book ratio and information regarding patents, such as those described above.

[0048] 2 to 12 are explanatory diagrams showing examples of analysis results according to this embodiment. FIGS. 2 to 12 show examples of analysis results when multiple target companies are set. As shown in FIGS. 2 to 12, the analysis results are represented, for example, by a graph in which the ratio of the number of patent applications in a predetermined period to the number of valid patent applications and the PBR are plotted on two axes. Note that the analysis results according to this embodiment are not limited to the above. For example, the analysis results may be represented by a graph in which the ratio of the number of patents in a predetermined period to the number of valid patents and the PBR are plotted on two axes.

[0049] (1) First example of analysis results (Figure 2) The first example of analysis results shown in Figure 2 is an example of the analysis results when eight companies, A1 to A8, belonging to the electronic components industry are targeted and the specified period is five years. In the analysis results shown in Figure 2, the correlation coefficient is 0.83. In other words, the analysis results shown in Figure 2 indicate that in the electronic components industry, there is a strong correlation between PBR and the proportion of patent applications in a specified period out of the total number of valid patent applications.

[0050] (2) Second example of analysis results (Figure 3) The second example of analysis results shown in Figure 3 is an example of analysis results when five companies, B1 to B5, belonging to the multifunction printer industry are targeted and the specified period is five years. In the analysis results shown in Figure 3, the correlation coefficient is 0.68. In other words, the analysis results shown in Figure 3 indicate that in the multifunction printer industry, "there is a correlation between the ratio of the number of patent applications in a specified period to the number of valid patent applications and PBR."

[0051] (3) Third example of analysis results (Figure 4) The third example of analysis results shown in Figure 4 is an example of analysis results when five target companies, C1 to C5, belonging to different industries, are used and the specified period is five years. In the analysis results shown in Figure 4, the correlation coefficient is 0.38. In other words, the analysis results shown in Figure 4 indicate that when the target companies belong to different industries, "the correlation between the ratio of the number of patent applications in a specified period to the number of valid patent applications and PBR is weak."

[0052] (4) Fourth example of analysis results (Fig. 5) The fourth example of analysis results shown in Figure 5 is an example of analysis results when targeting four companies, D1 to D4, belonging to the automotive industry, and setting the specified period to five years. In the analysis results shown in Figure 5, the correlation coefficient is 0.88. In other words, the analysis results shown in Figure 5 indicate that in the automotive industry, "there is a strong correlation between the ratio of the number of patent applications in a specified period to the number of valid patent applications, and PBR."

[0053] (5) Fifth example of analysis results (Fig. 6, Fig. 7) The fifth example of the analysis results shown in Fig. 6 is an example of the analysis results when three companies, E1 to E3, belonging to the agricultural machinery industry are the target companies and the predetermined period is eight years. Also, the fifth example of the analysis results shown in Fig. 7 is an example of the analysis results when three companies, E1 to E3, belonging to the agricultural machinery industry are the target companies and the predetermined period is eight years or less.

[0054] The analysis results shown in Figure 6 show a correlation coefficient of -0.95. On the other hand, the analysis results shown in Figure 7 show a correlation coefficient of 0.95. In other words, the analysis results shown in Figures 6 and 7 indicate that even when target companies belong to the same industry, the correlation between the proportion of patent applications in a given period to the total number of valid patent applications and PBR can vary depending on the period analyzed. Furthermore, the analysis results shown in Figures 6 and 7 suggest that when targeting companies in an industry that shows different trends depending on the analysis conditions, such as the agricultural machinery industry, it is effective to set different specified periods and conduct multiple analyses.

[0055] (6) Sixth example of analysis results (Fig. 8, Fig. 9) The sixth example of the analysis results shown in Fig. 8 is an example of an analysis result when ten companies, F1 to F10, belonging to the rubber industry are targeted and the predetermined period is five years. The sixth example of the analysis results shown in Fig. 9 is an example of an analysis result when five companies, F1 to F4 and F8, belonging to the rubber industry are targeted and the predetermined period is five years. The example shown in Fig. 9 is an example where companies with 1,000 or more patent applications are filtered from the ten companies shown in Fig. 8, and the filtered companies are targeted.

[0056] In the analysis results shown in FIG. 8, the correlation coefficient is 0.06. On the other hand, in the analysis results shown in FIG. 7, the correlation coefficient is 0.60. In other words, the analysis results shown in FIGS. 8 and 9 indicate that even when target companies belong to the same industry, "the correlation between the proportion of patent applications in a given period to the number of valid patent applications and PBR can change depending on the filtering of target companies." As in the sixth example of the analysis results, the information processing device according to this embodiment can analyze the relationship between PBR and patent portfolios in a given period using filtered companies as target companies.

[0057] The sixth example of the analysis results shows an example in which target companies are filtered by the number of patent applications (or the number of patents) filed by the company. However, as shown in the seventh example described later, the filtering of target companies according to this embodiment is not limited to filtering by the number of patent applications (or the number of patents) filed by the company.

[0058] (7) Seventh example of analysis results (Figures 10, 11, and 12) The seventh example of the analysis results shown in Figure 10 is an example of the analysis results when eight companies, G1 to G8, belonging to the medical products industry are targeted and the predetermined period is five years. The seventh example of the analysis results shown in Figure 11 is an example of the analysis results when four companies, G1, G3, G4, and G8, belonging to the medical products industry are targeted and the predetermined period is five years. The example shown in Figure 11 is an example where, from the eight companies shown in Figure 10, companies listed on stock exchanges including New York, Switzerland, Paris, and London are filtered, and the filtered companies are targeted.

[0059] As shown in Figures 10 and 11, even if target companies belong to the same industry, the correlation between the ratio of patent applications in a given period to the number of valid patent applications and PBR may change depending on the filtering of target companies. As shown in the seventh example of the analysis results, the information processing device according to this embodiment can analyze the relationship between PBR and patent portfolios in a given period using filtered companies as target companies. Note that examples of filtering target companies are not limited to those exemplified in the sixth and seventh examples of the analysis results. For example, the information processing device according to this embodiment can filter companies under any conditions that allow filtering.

[0060] The seventh example of the analysis results shown in Figure 12 is an example of the analysis results when the target companies are four companies G1, G3, G4, and G8 that belong to the medical products industry, and the predetermined period is set to 10 years or earlier. The example shown in Figure 12 is an example where the target companies are companies filtered under the same conditions as the example shown in Figure 11, and the predetermined period is changed from the example shown in Figure 10.

[0061] In the analysis results shown in Figure 10, the correlation coefficient is -0.47, and a negative correlation can also be seen in the analysis results shown in Figure 11, where the target companies have been filtered out. On the other hand, in the analysis results shown in Figure 12, the correlation coefficient is 0.94, indicating a positive correlation. In other words, the analysis results shown in Figures 10, 11, and 12 indicate that even when target companies belong to the same industry, the correlation between the proportion of patent applications in a given period out of the number of valid patent applications and PBR can change depending on the period analyzed.

[0062] The information processing device according to this embodiment performs processing based on information related to price-to-book ratios and information related to company patents, thereby obtaining analysis results such as those shown in the examples of Figures 2 to 12. When multiple target companies are set, the analysis results are expressed in a manner that allows comparison of the relationship between the price-to-book ratio (PBR) and patent portfolio of each target company, as shown in the examples of Figures 2 to 12. It goes without saying that the examples of analysis results according to this embodiment are not limited to those shown in Figures 2 to 12.

[0063] Referring again to Fig. 1, an example of processing related to the information processing method according to this embodiment will be described. The information processing device according to this embodiment outputs the analysis result of the relationship between the price-to-book ratio (PBR) and the patent portfolio for a predetermined period (S102, output control processing). In other words, the information processing device according to this embodiment outputs the analysis result in step S100.

[0064] The information processing device according to the present embodiment, for example, displays the analysis result on a display screen. The information processing device according to the present embodiment transmits a control signal including data indicating the analysis result and a display command for displaying the analysis result to a display device capable of displaying an image on the display screen, thereby displaying the analysis result on the display screen (first example of output control processing: display control processing).

[0065] The display device according to the present embodiment may be a display device included in the information processing device according to the present embodiment, or may be a display device external to the information processing device according to the present embodiment. When displaying the analysis results on the display screen of the external display device, the information processing device according to the present embodiment communicates with the external display device, for example, via a network (or directly). The communication with the external display device is performed, for example, via a communication interface described below.

[0066] The process of step S102 is not limited to the example shown above. For example, the information processing device according to this embodiment may transmit data indicating the analysis result (second example of output control process: transmission control process). The information processing device according to this embodiment controls a communication interface, which will be described later, to transmit the data indicating the analysis result, and the data indicating the analysis result is transmitted via the communication interface.

[0067] The destination of the data indicating the analysis results in the processing of step S102 may be any device, such as a recording medium capable of storing data indicating the analysis results or a processing device capable of processing data indicating the analysis results. Note that the destination of the data indicating the analysis results in the processing of step S102 is not limited to the examples shown above. For example, the information processing device according to this embodiment may send the data indicating the analysis results to any program capable of processing the data indicating the analysis results. Sending the data indicating the analysis results to a program makes it possible to link with the functions of the program, for example, thereby expanding the uses of the analysis results.

[0068] Furthermore, the information processing device according to this embodiment may perform both the display control process and the transmission control process as the process of step S102 (third example of output control process).

[0069] The information processing device according to this embodiment performs, as a process related to the information processing method according to this embodiment, for example, the process shown in Fig. 1. By performing the process shown in Fig. 1, it is possible to analyze companies as exemplified with reference to Figs. 2 to 12.

[0070] Note that the processing related to the information processing method according to this embodiment is not limited to the example shown in Fig. 1. For example, the information processing device according to this embodiment may further perform one or both of the following (I) acquisition processing and (II) filtering processing.

[0071] (I) Acquisition process The information processing device according to this embodiment acquires, for example, one or both of information related to price-to-book-value ratio and information related to patents (acquisition process). Here, the acquisition process related to the acquisition of information related to price-to-book-value ratio may be, for example, the process related to the method for acquiring information related to price-to-book-value ratio described above. Furthermore, the acquisition process related to the acquisition of information related to patents may be, for example, the process related to the method for acquiring information related to patents described above.

[0072] When the acquisition process is performed as the process related to the information processing method according to the present embodiment, the information processing device according to the present embodiment performs the process of step S100 using the information acquired by the acquisition process.

[0073] (II) Filtering process The information processing device according to this embodiment filters target companies (filtering process). Here, as described above, the filtering conditions in the filtering process can be any conditions that can filter companies. Furthermore, the filtering conditions are set, for example, by one or both of an operation input device included in the information processing device according to this embodiment and an operation input device external to the information processing device according to this embodiment.

[0074] When filtering processing is performed as processing related to the information processing method according to this embodiment, the information processing device according to this embodiment performs the processing of step S100 with the filtered companies as target companies.

[0075] The information processing device according to this embodiment performs, for example, any one of the following processes (a) to (d) as a process related to the information processing method according to this embodiment. (a) Analysis processing and output control processing (b) Analysis process, output control process, and acquisition process (c) Analysis processing, output control processing, and filtering processing (d) Analysis processing, output control processing, acquisition processing, and filtering processing

[0076] For convenience, the processes shown in (a) to (d) above are each a division of the processes related to the information processing method according to this embodiment. In other words, the division of the processes related to the information processing method according to this embodiment is not limited to the processes shown in (a) to (d) above. For example, each of the processes shown in (a) to (d) above may be further subdivided (by any division method).

[0077] (Information processing device according to this embodiment) Next, an example of the configuration of an information processing device according to this embodiment that can perform the processing related to the information processing method according to this embodiment described above will be described.

[0078] 13 is a block diagram showing an example of the configuration of an information processing device 100 according to this embodiment. The information processing device 100 includes, for example, a communication unit 102 and a control unit 104.

[0079] The information processing device 100 may also include, for example, a ROM (Read Only Memory, not shown), a RAM (Random Access Memory, not shown), a storage unit (not shown), an operation unit (not shown) that can be operated by a user, and a display unit (not shown) that displays various screens such as a screen showing analysis results on a display screen. The information processing device 100 connects the above-mentioned components together, for example, via a bus as a data transmission path.

[0080] The ROM (not shown) stores control data such as programs and calculation parameters used by the control unit 104. The RAM (not shown) temporarily stores programs executed by the control unit 104.

[0081] The storage unit (not shown) is a storage means included in the information processing device 100, and stores various data such as data related to the information processing method according to the present embodiment, such as information related to price-to-book ratios and patents, as well as various applications. Examples of the storage unit (not shown) include a magnetic recording medium such as a hard disk, a nonvolatile memory such as a flash memory, and a solid-state drive (SSD) that uses a flash memory. The storage unit (not shown) may be detachable from the information processing device 100.

[0082] The operation unit (not shown) may be an operation input device (described later), and the display unit (not shown) may be a display device (described later).

[0083] [Example of hardware configuration of information processing device 100] 14 is an explanatory diagram showing an example of the hardware configuration of an information processing device 100 according to this embodiment. The information processing device 100 includes, for example, an MPU 150, a ROM 152, a RAM 154, a recording medium 156, an input / output interface 158, an operation input device 160, a display device 162, and a communication interface 164. Furthermore, the information processing device 100 connects these components together via, for example, a bus serving as a data transmission path.

[0084] The MPU 150 is configured with at least one processor configured with an arithmetic circuit such as an MPU (Micro Processing Unit), various processing circuits, and the like, and functions as a control unit 104 that controls the entire information processing device 100. In addition, the MPU 150 also serves as, for example, an analysis unit 110, an output control unit 112, an acquisition unit 114, and a filtering unit 116, which will be described later, in the information processing device 100. Note that some or all of the analysis unit 110, the output control unit 112, the acquisition unit 114, and the filtering unit 116, which will be described later, may be configured with dedicated (or general-purpose) circuits (for example, processors separate from the MPU 150) that can realize the processing of each unit, which will be described later.

[0085] The ROM 152 stores control data such as programs and calculation parameters used by the MPU 150. The RAM 154 temporarily stores programs executed by the MPU 150, for example.

[0086] The recording medium 156 functions as a storage unit (not shown) and stores various data such as data relating to the information processing method according to the present embodiment, such as information relating to the price-to-book ratio and information relating to patents, as well as various applications. Examples of the recording medium 156 include a magnetic recording medium such as a hard disk, and a non-volatile memory such as a flash memory. The recording medium 156 may be detachable from the information processing device 100.

[0087] The input / output interface 158 is connected to, for example, an operation input device 160 and a display device 162. The operation input device 160 functions as an operation unit (not shown), and the display device 162 functions as a display unit (not shown). Here, examples of the input / output interface 158 include a USB (Universal Serial Bus) terminal, a DVI (Digital Visual Interface) terminal, an HDMI (High-Definition Multimedia Interface) (registered trademark) terminal, and various processing circuits.

[0088] The operation input device 160 is provided on the information processing device 100, for example. The operation input device 160 is connected to an input / output interface 158 inside the management apparatus 100. Examples of the operation input device 160 include a button, a direction key, a capacitive switch, or a combination of these.

[0089] Furthermore, the display device 162 is provided on, for example, the information processing device 100, and is connected to the input / output interface 158 inside the information processing device 100. Examples of the display device 162 include a liquid crystal display (LCD) and an organic electroluminescence display (also called an OLED display (organic light emitting diode display)).

[0090] It goes without saying that the input / output interface 158 can be connected to external devices such as an external operation input device (for example, a keyboard or a mouse) or an external display device of the information processing device 100. The display device 162 may be a device capable of displaying and user operation, such as a touch panel.

[0091] The communication interface 164 is a communication means provided in the information processing device 100, and functions as the communication unit 102 for communicating with an external device wirelessly or via a wired connection via a network (or directly). Examples of the external device include a server capable of transmitting information about price-to-book ratios and a server capable of transmitting information about patents, but the examples of the external device are not limited to those exemplified. Examples of the communication interface 164 include a communication antenna and an RF (Radio Frequency) circuit (wireless communication), an IEEE802.15.1 port and a transmitting / receiving circuit (wireless communication), an IEEE802.11 port and a transmitting / receiving circuit (wired communication), or a LAN terminal and a transmitting / receiving circuit (wired communication).

[0092] The information processing device 100 performs processing related to the information processing method according to this embodiment, for example, with the configuration shown in Fig. 14. Note that the hardware configuration of the information processing device 100 according to this embodiment is not limited to the configuration shown in Fig. 14.

[0093] For example, when the information processing device 100 communicates with an external device via a connected external communication device or when the information processing device 100 is configured to perform stand-alone processing, the information processing device 100 may not include the communication interface 164. Furthermore, the communication interface 164 may be configured to be capable of communicating with external devices using a plurality of communication methods.

[0094] Furthermore, the information processing device 100 may be configured without some or all of the recording medium 156, the operation input device 160, and the display device 162, for example.

[0095] Furthermore, for example, the configuration shown in FIG. 14 (or the configuration according to the above-described modification) may be realized by at least one IC (Integrated Circuit).

[0096] 13 again, an example of the configuration of the information processing device 100 will be described. The communication unit 102 is a communication means included in the information processing device 100, and communicates with an external device wirelessly or via a wire via a network (or directly). The communication of the communication unit 102 is controlled by, for example, the control unit 104.

[0097] Here, examples of the communication unit 102 include a communication antenna and an RF circuit, a LAN terminal and a transmitting / receiving circuit, etc., but the configuration of the communication unit 102 is not limited to the above. For example, the communication unit 102 can be configured to comply with any standard that allows communication, such as a USB terminal and a transmitting / receiving circuit, or any configuration that allows communication with an external device via a network. Furthermore, the communication unit 102 may be configured to be able to communicate with an external device using multiple communication methods.

[0098] The control unit 104 is configured by, for example, an MPU, and serves to control the entire information processing device 100. The control unit 104 also includes, for example, an analysis unit 110, an output control unit 112, an acquisition unit 114, and a filtering unit 116, and serves to take the lead in carrying out the processing related to the information processing method according to this embodiment.

[0099] The analysis unit 110 plays a leading role in the above-mentioned analysis process, and analyzes the relationship between the PBR and patent portfolio of a target company for a predetermined period based on information about the company's price-to-book ratio and information about the company's patents. The analysis unit 110 performs the analysis process, for example, the process of step S100 in FIG. 1.

[0100] The output control unit 112 plays a leading role in carrying out the above-mentioned output control processing, and outputs the analysis results of the relationship between PBR and patent portfolio for a predetermined period analyzed by the analysis unit 110. The output control unit 112, for example, performs the processing of step S102 in Fig. 1 and outputs the analysis results of step S100. Examples of the output control processing in the output control unit 112 include one or both of a display control processing for displaying the analysis results on a display screen and a transmission control processing for transmitting data indicating the analysis results to an external device (or an external program).

[0101] The acquisition unit 114 plays a leading role in performing the acquisition process described in (I) above, and acquires one or both of information related to the price-to-book value ratio and information related to patents. When one or both of information related to the price-to-book value ratio and information related to patents are acquired by the acquisition unit 114, the analysis unit 110 performs an analysis process using the acquired information.

[0102] The filtering unit 116 plays a leading role in the filtering process described above in (II) and filters out target companies. When target companies are filtered out, the analysis unit 110 performs analysis processing on the filtered companies as target companies.

[0103] The control unit 104 includes, for example, an analysis unit 110, an output control unit 112, an acquisition unit 114, and a filtering unit 116, and takes the lead in carrying out the processing related to the information processing method according to this embodiment.

[0104] The configuration of the control unit in this embodiment is not limited to the example shown above. For example, the control unit in this embodiment may not include one or both of the acquisition unit 114 and the filtering unit 116. That is, the control unit in this embodiment may be configured not to perform one or both of the acquisition process shown in (I) above performed by the acquisition unit 114 and the filtering process shown in (II) above performed by the filtering unit 116. Even if the acquisition process shown in (I) above and the filtering process shown in (II) above are not performed, the information processing device 100 can analyze companies.

[0105] The information processing device 100 performs, for example, any of the processes (a) to (d) described above as processing related to the information processing method of this embodiment, using, for example, the configuration shown in Figure 13 (or the configuration of the control unit related to the above-mentioned modified example).

[0106] Therefore, the information processing device 100 can analyze companies using the configuration shown in FIG. 13, for example.

[0107] Furthermore, for example, with the configuration shown in FIG. 13, the information processing device 100 can achieve the effects achieved by performing the processing related to the information processing method according to this embodiment as described above.

[0108] The configuration of the information processing device according to this embodiment is not limited to the configuration shown in FIG.

[0109] For example, the information processing device according to this embodiment may include some or all of the analysis unit 110, output control unit 112, acquisition unit 114, and filtering unit 116 shown in FIG. 13, separately from the control unit 104 (for example, realized by a separate processing circuit).

[0110] As described above, the processes (a) to (d) related to the information processing method according to this embodiment are, for convenience, separate processes related to the information processing method according to this embodiment. Therefore, the configuration for realizing the processes related to the information processing method according to this embodiment is not limited to the example shown in Fig. 13 (or the example related to the above-mentioned modified example), and can be configured in accordance with how the processes related to the information processing method according to this embodiment are separated.

[0111] Furthermore, for example, when communicating with an external device via an external communication device having the same functions and configuration as the communication unit 102, or when performing standalone processing, the information processing device of this embodiment may not be equipped with the communication unit 102.

[0112] Furthermore, as described above, the information processing device according to this embodiment may include, for example, some or all of a memory unit (not shown), an operation unit (not shown), and a display unit (not shown) that displays various screens, such as a screen showing analysis results, on a display screen.

[0113] Although the present embodiment has been described above using an information processing device, the present embodiment is not limited to such a configuration. The present embodiment can be applied to various devices capable of performing processing related to the information processing method according to the present embodiment, such as computers such as PCs (Personal Computers) and servers, tablet devices, and communication devices such as mobile phones and smartphones. The present embodiment can also be applied to a processing IC that can be incorporated into such devices.

[0114] Furthermore, the information processing device according to the present embodiment may be applied to a system consisting of a plurality of devices that is premised on connection to a network (or communication between devices), such as cloud computing. That is, the information processing device according to the present embodiment described above can also be realized as, for example, an information processing system in which a plurality of devices perform processing related to the information processing method according to the present embodiment. An example of an information processing system in which a plurality of devices perform processing related to the information processing method according to the present embodiment is a system in which any of the processes shown in (a) to (d) above are performed in cooperation with each other in a plurality of devices that constitute the information processing system.

[0115] (Program related to this embodiment) A program for causing a computer system to function as an information processing device according to this embodiment (for example, a program capable of executing processing related to the information processing method according to this embodiment, such as any of the processing shown in (a) to (d) above) is executed by a processor or the like in the computer system, thereby enabling analysis of a company. Here, the computer system according to this embodiment may be a single computer or multiple computers. The computer system according to this embodiment performs a series of processing related to the information processing method according to this embodiment.

[0116] Furthermore, by executing a program for causing a computer system to function as an information processing device according to this embodiment by a processor or the like in the computer system, the effects achieved by the processing according to the information processing method according to the embodiment described above can be achieved.

[0117] Furthermore, the program according to this embodiment may be a program that is called from another program (a so-called external program). When called from another program, the program according to this embodiment outputs the analysis results to the other program. In this case, examples of the program according to this embodiment include a module, a plug-in, and an API (Application Programming Interface). For example, when cooperation with other programs is attempted in this way, the applications of the analysis results are expanded, and the versatility of the program according to this embodiment is further enhanced.

[0118] Although the preferred embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings, the technical scope of the present disclosure is not limited to such examples. It is clear that a person skilled in the art of the present disclosure can conceive of various modified or altered examples within the scope of the technical idea described in the claims, and it is understood that these also naturally fall within the technical scope of the present disclosure.

[0119] For example, the above shows that a program (computer program) is provided to cause a computer system to function as an information processing device according to this embodiment, but this embodiment can also provide a recording medium (a recording medium that can be read by a computer system, etc.) on which the program is stored.

[0120] The above-described configuration is an example of this embodiment, and naturally falls within the technical scope of the present disclosure.

[0121] Furthermore, the effects described herein are merely descriptive or exemplary and are not limiting. In other words, the technology according to the present disclosure may achieve other effects that will be apparent to those skilled in the art from the description of this specification, in addition to or in place of the above-described effects.

[0122] The following configurations also fall within the technical scope of the present disclosure. (1) an analysis unit that analyzes the relationship between the price-to-book value ratio and the patent portfolio of a target company to be processed for a predetermined period based on information about the price-to-book value ratio of the company and information about the company's patents; an output processing unit that outputs the analysis result of the relationship; An information processing device comprising: (2) The information processing device described in (1), wherein the analysis results are represented by a graph in which the ratio of the number of patent applications in a specified period to the number of valid patent applications and the price-to-book ratio are shown on two axes, or a graph in which the ratio of the number of patents in a specified period to the number of valid patents and the price-to-book ratio are shown on two axes. (3) A plurality of target companies are set, The information processing device according to (1) or (2), wherein the analysis results are expressed in a manner that allows the relationships between the target companies to be compared. (4) The information processing device according to any one of (1) to (3), wherein the output processing unit displays the analysis result on a display screen. (5) The information processing device according to any one of (1) to (4), wherein the output processing unit transmits data indicating the analysis result. (6) The information processing device described in any one of (1) to (5), wherein the specified period is either a fixed period set in advance, a variable period set by a user, or a period set corresponding to information regarding the price-to-book ratio. (7) further comprising a filtering unit that filters the target companies; The information processing device according to any one of (1) to (6), wherein the analysis unit analyzes the relationship during the predetermined period, using the filtered companies as target companies. (8) The information processing device according to any one of (1) to (7), further comprising an acquisition unit that acquires one or both of the information on the price-to-book-value ratio and the information on the patent. (9) analyzing the relationship between the price-to-book ratio and the patent portfolio of a target company to be processed for a predetermined period based on information about the price-to-book ratio of the company and information about the company's patents; outputting the analysis result of the relationship; An information processing method comprising: (10) On the computer, a function for analyzing the relationship between a price-to-book ratio and a patent portfolio for a target company to be processed for a predetermined period based on information regarding the price-to-book ratio of the company and information regarding the company's patents; a function of outputting the analysis results of the relationship; A program to achieve this. [Explanation of symbols]

[0123] 100 Information processing device 102 Communications Department 104 Control Unit 110 Analysis Department 112 Output control section 114 Acquisition Department 116 Filtering section

Claims

1. an analysis unit that analyzes the relationship between the price-to-book value ratio and the patent portfolio of a target company to be processed for a predetermined period based on information about the price-to-book value ratio of the company and information about the company's patents; an output processing unit that outputs the analysis result of the relationship; An information processing device comprising:

2. 2. The information processing device of claim 1, wherein the analysis results are represented by a graph in which the ratio of the number of patent applications in a specified period to the number of valid patent applications and the price-to-book ratio are represented on two axes, or a graph in which the ratio of the number of patents in a specified period to the number of valid patents and the price-to-book ratio are represented on two axes.

3. A plurality of target companies are set, The information processing device according to claim 1 , wherein the analysis result is expressed in a manner that allows the relationships between the target companies to be compared.

4. The information processing apparatus according to claim 1 , wherein the output processing unit displays the analysis result on a display screen.

5. The information processing apparatus according to claim 1 , wherein the output processing unit transmits data indicating the analysis result.

6. 3. The information processing device according to claim 1, wherein the predetermined period is either a fixed period set in advance, a variable period set by a user, or a period set in accordance with information relating to the price-to-book ratio.

7. further comprising a filtering unit that filters the target companies; The information processing device according to claim 1 , wherein the analysis unit analyzes the relationships during the predetermined period, using the filtered companies as target companies.

8. The information processing device according to claim 1 , further comprising an acquisition unit that acquires one or both of the information regarding the price-to-book-value ratio and the information regarding the patent.

9. analyzing the relationship between the price-to-book ratio and the patent portfolio of a target company to be processed for a predetermined period based on information about the price-to-book ratio of the company and information about the company's patents; outputting the analysis result of the relationship; An information processing method comprising:

10. On the computer, a function for analyzing the relationship between a price-to-book ratio and a patent portfolio for a target company to be processed for a predetermined period based on information regarding the price-to-book ratio of the company and information regarding the company's patents; a function of outputting the analysis results of the relationship; A program to achieve this.

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