List appearing possibility index data management method and device, equipment and storage medium

Abstract

The invention discloses a listing possibility index data management method and device, equipment and a storage medium. The method comprises the following steps: acquiring enterprise condition data of a to-be-evaluated enterprise; inputting the enterprise condition data into a possibility index analysis model to enable the possibility index analysis model to output a corresponding index result; feeding back the index result to the enterprise to be evaluated; wherein the enterprise condition data comprises subject qualification data, standard operation data and information disclosure data. The method, the device and the equipment for managing the listing possibility index data have the beneficial effects that the listing possibility index data of the enterprise can be accurately evaluated by integrating multiple aspects of internal data and external data of the enterprise, so that the listing possibility of the enterprise can be accurately evaluated.

Description

Technical Field

[0001] The present application relates to the technical field of financial data management, and in particular to a method, device, equipment and storage medium for managing listing possibility index data. Background Art

[0002] In recent years, a number of listing review profiling tools have appeared on the market, but most of them have a single measurement dimension and the results are less credible. As a result, the evaluation and management method of the registration system matching index came into being, positioning itself as a listing profiling tool that covers all listing sectors including the main board, the Science and Technology Innovation Board, the ChiNext, the Beijing Stock Exchange, the New Third Board and regional equity markets, all the latest listing rules and is mainly based on external data. Summary of the invention

[0003] The content of this application is used to introduce concepts in a brief form, which will be described in detail in the detailed implementation section below. The content of this application is not intended to identify the key features or essential features of the technical solution claimed for protection, nor is it intended to limit the scope of the technical solution claimed for protection.

[0004] Some embodiments of the present application propose a method, device, equipment and storage medium for managing listing possibility index data to solve the technical problems mentioned in the above background technology section.

[0005] As the first aspect of the present application, some embodiments of the present application provide a method for managing listing possibility index data, including: obtaining enterprise situation data of the enterprise to be evaluated; inputting the enterprise situation data into a possibility index analysis model so that the possibility analysis model outputs a corresponding index result; and feeding back the index result to the enterprise to be evaluated; wherein the enterprise situation data includes subject qualification data, standardized operation data and information disclosure data.

[0006] Optionally, in some embodiments of the present application, the subject qualification data includes: company status data and operating stability data; wherein the company status data includes: company type data, operating time data, and paid-in capital data; wherein the operating stability data includes: main business stability and personnel stability data.

[0007] Optionally, in some embodiments of the present application, the standard operation data includes: system construction data and risk behavior data; wherein the system construction data includes system integrity data; wherein the risk behavior data includes executive risk data, ownership risk data, and debt risk data.

[0008] Optionally, in some embodiments of the present application, the information disclosure data includes: authenticity data and sufficiency data; the authenticity data includes: internal control authenticity data and audit authenticity data; the sufficiency data includes: disclosure sufficiency data and risk warning authenticity data.

[0009] Optionally, in some embodiments of the present application, the listing possibility index data management method further includes: constructing the possibility index analysis model.

[0010] Optionally, in some embodiments of the present application, constructing the possibility index analysis model includes: constructing an indicator library; involving a scoring model; and verifying the validity of the index.

[0011] Optionally, in some embodiments of the present application, the obtaining of enterprise situation data of the enterprise to be evaluated includes: providing an interface for the enterprise to be evaluated to input data; and performing targeted data capture on external data sources.

[0012] As a second aspect of the present application, some embodiments of the present application provide a listing possibility index data management device, including: an acquisition module, used to acquire the enterprise situation data of the enterprise to be evaluated; an analysis module, used to input the enterprise situation data into a possibility index analysis model so that the possibility analysis model outputs a corresponding index result; a feedback module, used to feed back the index result to the enterprise to be evaluated; wherein the enterprise situation data includes subject qualification data, standardized operation data and information disclosure data.

[0013] As the third aspect of the present application, some embodiments of the present application provide an electronic device, comprising: one or more processors; a storage device on which one or more programs are stored, and when the one or more programs are executed by one or more processors, the one or more processors implement the method described in any implementation manner of the above-mentioned first aspect.

[0014] As a fourth aspect of the present application, some embodiments of the present application provide a computer-readable medium on which a computer program is stored, wherein when the program is executed by a processor, the method described in any implementation of the above-mentioned first aspect is implemented.

[0015] The beneficial effect of the present application is that it provides a listing possibility index data management method, device, equipment and storage medium that integrates various internal and external data of an enterprise to accurately evaluate the listing possibility of the enterprise. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings constituting a part of this application are used to provide a further understanding of this application, so that other features, purposes and advantages of this application become more obvious. The illustrative embodiment drawings and their descriptions of this application are used to explain this application and do not constitute an improper limitation on this application.

[0017] In addition, throughout the drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and that the components and elements are not necessarily drawn to scale.

[0018] In the attached picture:

[0019] Figure 1 It is a schematic diagram of the main steps of a method for managing listing possibility index data according to an embodiment of the present application;

[0020] Figure 2 This is a schematic diagram of the architecture of a device for managing listing possibility index data according to an embodiment of the present application;

[0021] Figure 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application;

[0022] Figure 4 is a schematic diagram of the principle of constructing a model according to an embodiment of the present application;

[0023] Figure 5 This is a partial flow chart of a specific application scenario according to an embodiment of the present application;

[0024] Figure 6 is another partial flow chart in a specific application scenario according to an embodiment of the present application;

[0025] Figure 7 This is another part of a flow chart in a specific application scenario according to an embodiment of the present application;

[0026] Figure 8 It is a schematic diagram of an operation interface on the enterprise user side according to an embodiment of the present application. DETAILED DESCRIPTION

[0027] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments set forth herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0028] It should also be noted that, for ease of description, only the parts related to the invention are shown in the drawings. In the absence of conflict, the embodiments and features in the embodiments of the present disclosure can be combined with each other.

[0029] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0030] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0031] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0032] The present disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0033] Reference Figures 1 to 7 As shown, as the first aspect of the present application, the listing possibility index data management method of the present application includes the following steps:

[0034] S101: Construct a possibility index analysis model;

[0035] S102: Obtaining enterprise situation data of the enterprise to be evaluated;

[0036] S103: Inputting the enterprise situation data into the possibility index analysis model so that the possibility analysis model outputs a corresponding index result;

[0037] S104: Feedback the index results to the enterprise to be evaluated.

[0038] Among them, enterprise situation data includes entity qualification data, standardized operation data and information disclosure data.

[0039] In some embodiments of the present application, the subject qualification data includes: company status data and operating stability data; wherein the company status data includes: company type data, operating time data, and paid-in capital data; wherein the operating stability data includes: main business stability and personnel stability data.

[0040] In some embodiments of the present application, the standardized operation data includes: system construction data and risk behavior data; wherein the system construction data includes system integrity data; wherein the risk behavior data includes executive risk data, ownership risk data, and debt risk data.

[0041] In some embodiments of the present application, the information disclosure data includes: authenticity data and sufficiency data; the authenticity data includes: internal control authenticity data and audit authenticity data; the sufficiency data includes: disclosure sufficiency data and risk warning authenticity data.

[0042] In some embodiments of the present application, step S101 specifically includes: constructing an indicator library; involving a scoring model; and verifying the validity of the index.

[0043] In some embodiments of the present application, step S102 specifically includes: providing an interface for the enterprise to be evaluated to input data; and performing targeted data capture on external data sources.

[0044] Reference Figure 2 As shown, as the second aspect of the present application, some embodiments of the present application provide a listing possibility index data management device, including: an acquisition module, used to acquire the enterprise situation data of the enterprise to be evaluated; an analysis module, used to input the enterprise situation data into the possibility index analysis model so that the possibility analysis model outputs the corresponding index result; a feedback module, used to feed back the index result to the enterprise to be evaluated; wherein the enterprise situation data includes subject qualification data, standardized operation data and information disclosure data.

[0045] Reference Figures 4 to 7 As shown, as a specific application example of the present application, the technical solution of the present application is further introduced in detail below in combination with a specific example.

[0046] First, in order to implement the technical solution of this application, it is necessary to construct a possibility index analysis model first. That is, it is necessary to implement the following process first:

[0047] Building an indicator library

[0048] Referring to Tables 1 to 4, based on the listing terms in the amplitude documents and combined with the senior expert team's many years of IPO practice experience, a three-level indicator system was constructed, including 5 first-level indicators, including subject qualifications, standardized operations, financial status, internal control, and equity requirements, 15 second-level indicators, and 33 third-level indicators.

[0049] Through the analysis and comparison of the rule documents, it can be concluded that each sector has common requirements in terms of subject qualifications, standardized operations, and information disclosure, so some indicators belong to basic indicators.

[0050] By comparing the listing rules of different sectors, it is concluded that the requirements for listing of enterprises in each sector have both commonalities and significant differences. Therefore, characteristic indicators of each sector are designed according to the characteristics of different sectors.

[0051] Designing a scoring model

[0052] Reference Figure 4 As shown in the figure, combining the advantages, disadvantages and applicability of each weight analysis method, as well as the characteristics of the data, the hierarchical analysis method combined with the entropy weight method is used to determine the weight of the constructed indicator system.

[0053] First, it is necessary to calculate the weights of basic indicators based on the hierarchical analysis method. The basic indicators of this application have many levels of indicators, and the relative importance of different indicators involves professional judgment. Therefore, the construction of the basic indicator system of this application adopts the hierarchical analysis method. The final basic indicator weights are shown in Table 5.

[0054] Then, the characteristic index weight calculation based on the entropy weight method is required. This application uses only 50 listed companies of Jiangsu Equity Exchange Center as sample data for weight calculation, and the calculation results are shown in Tables 6 to 10.

[0055] Finally, a comprehensive evaluation model is established. The enterprise listing evaluation system constructed in this application is divided into basic indicators and sector characteristic indicators. The basic indicators are mainly qualitative indicators, and the sector characteristic indicators are quantitative indicators. Different indicators use different evaluation methods. Since the data of quantitative indicators can be directly obtained and can be directly compared, after the quantitative indicator data is standardized, the linear weighted method in the comprehensive evaluation method is used for evaluation; qualitative indicators need to be evaluated through fuzzy mathematics comprehensive evaluation method.

[0056] (1) Calculation of quantitative indicators using linear weighted method

[0057] The quantitative indicators are evaluated using the linear weighted method. The specific expression of the quantitative indicator evaluation model constructed in this application is:

[0058]

[0059] Wherein, L represents the comprehensive evaluation value of quantitative indicators; k represents the total score of quantitative indicators (in the indicator system constructed in this application, k = 100); n represents the total number of indicators; i represents the indicator code (i = 1, 2, 3, ... 16); wi represents the combined weight corresponding to the i-th indicator; Zi represents the score value of the i-th indicator after dimensionless processing.

[0060] (2) Calculation of qualitative indicators using fuzzy comprehensive evaluation method

[0061] The qualitative indicators of this application are mainly solved by fuzzy comprehensive evaluation method. The main calculation steps are as follows:

[0062] ① Determine the evaluation factors. For the basic indicator system constructed in this application, there are 13 qualitative indicators, so these 13 qualitative indicators are used as factors, and the factor set is: U = (U1, U2, ..., U13);

[0063] ② Determine the evaluation criteria. This application defines the qualitative indicator evaluation criteria as five levels: A, B, C, D, and E. According to Chapter S, the total score is determined to be 100 points, the lowest level is 20 points, and the difference between adjacent levels is 20 points. Therefore, the scores corresponding to the five levels are E (100, 80, 60, 40, 20), respectively. The details are shown in Table 10.

[0064] ③ Determine the single factor matrix. Among the above 13 indicators, 6 indicators can be automatically judged by computer programs based on the information disclosed by the enterprise, namely company type, operating time, paid-in capital, personnel stability, internal control certification report, and audit report; the other 7 indicators need to be judged by experts, check the corresponding level, summarize the calculation frequency, and combine the automatic judgment indicators to generate a single factor matrix F.

[0065]

[0066] ④ Determine the comprehensive evaluation set and qualitative indicator scoring calculation model. According to the weights of each non-financial factor indicator W = (w1, w2, w3 ... w13) and the single factor matrix F, the comprehensive evaluation set is obtained: B = W * F = (bl, b2, b3, b4, b5) The specific expression of the calculation model of the comprehensive evaluation value constructed in this application is:

[0067] X=k×B×E T

[0068] In the formula, X represents the comprehensive valuation of qualitative indicators; k represents the total score of qualitative indicators (100), and E represents the maximum value corresponding to each level; specifically, E = (100, 80, 60, 40, 20).

[0069] (3) Comprehensive evaluation

[0070] The specific expression of the comprehensive evaluation model constructed in this application is: P = L + X. In the formula, P is the total score of the enterprise listing evaluation; L is the total score of the quantitative indicators, that is, the total score of the sector characteristic indicators; X is the total score of the qualitative indicators, that is, the basic indicator score.

[0071] 1. Index validity verification

[0072] During the two calculations, the 150 companies that were in the queue on April 15 were divided into four categories on a certain day: 43 companies have been successfully listed, 94 are still in the queue, 9 have terminated the review, and 4 have not passed the meeting. There are generally two situations for companies whose review is terminated. One is that the company has a situation that does not meet the listing requirements and the review is terminated. The other is that the company chooses to terminate the review on its own. Overall, the first situation is the majority, so the research team considers the termination of review and failure to pass the listing as the same category. According to the design idea of ​​the index, the index should be able to assist in judging the gap between the company and the listing requirements at the macro level. The research team believes that the index should be able to distinguish the above three types of companies, so the following research hypothesis is proposed:

[0073] H1: The index scores of companies that have successfully listed should be significantly better than those of companies that are still waiting in line;

[0074] H2: The index scores of enterprises that have successfully listed should be significantly better than those of enterprises whose review has been terminated;

[0075] H3: The index scores of enterprises still in the queue should be significantly better than those of enterprises whose review has been terminated.

[0076] To verify the hypothesis, we first performed descriptive statistics on the three types of data, and used the data of a certain day as a benchmark to generate an index score. The results are shown in Table 11.

[0077] From the descriptive statistics, the average index score of listed companies is 97 points, which is better than the 93.17 points of companies still in the queue and the 94.4 points of companies whose review has been terminated, but the score of companies still in the queue is lower than that of companies whose review has been terminated.

[0078] Referring to Tables 12 to 14, an independent sample T test was performed on the three groups of data to further verify the differences between the three groups of data.

[0079] According to Table 14, the two types of scoring data have significant differences at the 90% significance level. Combined with descriptive statistics, the research hypothesis H1 is accepted, and the scores of listed companies are significantly better than those of companies whose review has been terminated. According to Table 13, the difference between the scoring data of queuing companies and companies whose review has been terminated is not significant. The research hypothesis H3 is rejected, and the difference between the scoring data of queuing companies and companies whose review has been terminated is not obvious. According to Table 12, the scoring data of listed companies and queuing companies have significant differences at the 99% significance level. Combined with descriptive statistics, the research hypothesis H2 is accepted, and the scores of listed companies are significantly better than those of queuing companies.

[0080] Taking into account that among the companies whose review has been terminated, there are some high-quality companies that chose to list in other markets and voluntarily terminated the review, and among the companies still in the queue, there are also companies of poor quality, and the overall sample of companies whose review has been terminated is small, there is a selection bias, so the difference between the two scores is not obvious.

[0081] The samples of companies still in the queue and companies whose review has been terminated are combined into one category and further compared with the samples of listed companies.

[0082] According to Table 16, the significance of the Levene variance equality test is 0.053, which is greater than 0.05, and the variance is considered to be homogeneous. According to the results of the first row assuming equal variance, the scoring data of listed and unlisted companies have significant differences at the significance level of 99%. According to comprehensive descriptive statistics, the average score of listed companies is 96.9972 points, which is better than the 93.3199 points of unlisted companies, and the difference is significant.

[0083] In summary, the listing possibility evaluation index is effective in evaluating the quality of enterprises and judging whether an enterprise has the conditions for listing. It can significantly distinguish between listed enterprises and those still in the queue, listed enterprises and those whose review has been terminated, and listed enterprises and unlisted enterprises. However, due to the number of samples and the sample itself, it is impossible to distinguish between the queued enterprises and the terminated enterprises.

[0084] Reference Figures 4 to 7 As shown, based on the establishment of the above-mentioned listing possibility evaluation index and its model (possibility analysis model), the following applications can be realized.

[0085] Reference Figures 4 to 7 As shown, the recommended access solution for the IPO Possibility Evaluation Index for national stock exchanges is based on the unified connection of the empowerment service platform. The product is designed with two usage modes: 1. The stock exchange uses it as an internal analysis system. 2. The stock exchange opens the function to stock exchange corporate customers. The interaction and access methods are as follows:

[0086] 1. The enterprise shall establish enterprise files based on the listing possibility evaluation index.

[0087] 2 After receiving the enterprise's file creation request, the index application service will try to directly obtain internal and external data. If the data completeness meets the minimum requirements, the calculation engine will be started to make a preliminary score.

[0088] 3 After the file is created, the Stock Exchange Center (hereinafter referred to as the Stock Exchange) or users of the Stock Exchange Center can access the listing possibility evaluation index system through the URL to view the data. Figure 6 and Figure 7 shown. Figure 6 Assuming that the stock exchange is used as a background analysis system: Figure 7 It is assumed that the local stock exchange will open the function to users.

[0089] 4After the file is created, the users of the stock exchange or stock exchange can also fill in the questionnaire through the URL page returned when the file is created to complete the questionnaire data required for index calculation. After completing the questionnaire, the system will recalculate the index results and display them within a few seconds.

[0090] 5After the file is created, the index service will also regularly collect data to update the enterprise file. If the data is updated, it will trigger the index calculation.

[0091] 6. The index service saves enterprise archives and calculation results within a certain period, and can retrieve the calculation results of historical archives or analyze the index changes in the enterprise cultivation process.

[0092] 7. The stock exchange can also obtain the latest scores of the companies it has filed through the index score query interface for data analysis or its own system applications.

[0093] The specific data input scheme for this application is as follows: When creating a file for an enterprise, the stock exchange can only enter the "enterprise name" and "unified credit code", or it can upload "company information", "industry classification information", "change records", "judgment documents" and other information according to the interface structure requirements. After the file is created, the enterprise or stock exchange can go to the URL returned by the listing possibility evaluation index service to fill in the questionnaire.

[0094] The specific data capture plan for this application is as follows: the system will update data from external data sources and the local information base of the Digital Research Institute at the time of initial file creation and regularly thereafter to improve data integrity. External data sources include the big data warehouse of the China Securities Regulatory Commission, the State Administration for Market Regulation, Jiangsu United Credit Information Co., Ltd., China Judgment Documents Network, WIND database, etc. Some data that cannot be accessed through the interface will be collected by the Digital Research Institute and included in the local information base of the Digital Research Institute for service use.

[0095] Reference Figure 8 As shown, the specific scheme for displaying the results of this application is as follows: The pages that this service mainly presents to the outside world are the listing possibility evaluation index analysis page and the questionnaire input page. To query the listing possibility evaluation index score of a single enterprise, the tool outputs the results including the scores of the four sectors, the radar chart of each sector (scores in five dimensions), the corresponding deduction items and the document description. The full score of each sector index is 100 points. If there is a deduction, it means that the enterprise does not meet the relevant requirements of the corresponding sector. The business management department can also batch query the listing possibility evaluation index of the region, including the calculation of the number of enterprises, the distribution of scores in each region, and the warning enterprises (enterprises with low scores).

[0096] Table 1 shows the mainboard characteristics.

[0097]

[0098] Table 2 shows the characteristic indicators of the GEM

[0099]

[0100] Table 3 shows the characteristic indicators of the Science and Technology Innovation Board

[0101]

[0102] Table 4 shows the characteristic indicators of the North Exchange

[0103]

[0104] Table 5 Basic indicator weights

[0105]

[0106] Table 6 shows the weights of the main board indicators

[0107] index Information entropy value e Information utility value d Weight coefficient w Intangible assets ratio 0.9903 0.0097 2.50％ Uncovered losses 0.9319 0.0681 17.54％ Net Profit 0.8734 0.1266 32.60％ Cash Flow 0.9143 0.0857 22.07％ Operating income 0.9471 0.0529 13.62％ Total share capital 0.9547 0.0453 11.67％

[0108] Table 7 shows the weights of ChiNext indexes

[0109] index Information entropy value e Information utility value d Weight coefficient w Estimated market value 0.8041 0.1959 37.47％ Net Profit 0.8568 0.1432 27.40％ Operating income 0.9471 0.0529 10.12％ Technical Talent 0.9079 0.0921 17.63％ Valid patents 0.9804 0.0196 3.74％ Industry 0.9809 0.0191 3.65％

[0110] Table 8 shows the weights of the Science and Technology Innovation Board indicators

[0111] index Information entropy value e Information utility value d Weight coefficient w Estimated market value 0.8041 0.1959 20.67％ Net Profit 0.8443 0.1557 16.43％ Operating income 0.9471 0.0529 5.58％ Industry 0.9809 0.0191 2.01％ R&D Investment 0.6533 0.3467 36.58％ Invention Patent 0.9804 0.0196 2.06％ Revenue growth 0.9341 0.0659 6.95％ Technical Talent 0.9079 0.0921 9.72％

[0112] Table 9 shows the weights of the North Exchange indicators

[0113]

[0114] Table 10 is the fuzzy evaluation set

[0115]

[0116]

[0117]

[0118]

[0119] Table 11 shows the score distribution of enterprises in the queue whose review was terminated and those in the normal queue on a certain day.

[0120] Available In the queue Termination of review quantity 43 94 13 Maximum 100 100 100 Minimum 83 76 85 Mean 97.00 93.17 94.40 Standard Deviation 3.86 4.87 5.40

[0121] Table 12 shows the results of independent sample T-test for the index scores of listed companies and companies whose review has been terminated in the matching sample

[0122]

[0123] Table 13 shows the independent sample T-test results for the index scores of the matched sample queuing enterprises and the terminated review enterprises

[0124]

[0125] Table 14 shows the independent sample T-test results of the index scores of listed companies and queued companies in the matched sample

[0126]

[0127] Table 15 shows the descriptive statistics of the two types of enterprises.

[0128]

[0129] Table 16 shows the results of the independent sample T test for the index scores of listed and unlisted companies in the matched sample

[0130]

[0131] like Figure 3 As shown, the electronic device 800 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 801, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 802 or a program loaded from a storage device 808 into a random access memory (RAM) 803. In the RAM 803, various programs and data required for the operation of the electronic device 800 are also stored. The processing device 801, the ROM 802, and the RAM 803 are connected to each other via a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.

[0132] Typically, the following devices may be connected to the I / O interface 805: input devices 806 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 807 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 808 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 809. The communication device 809 may allow the electronic device 800 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 3 The electronic device 800 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 3 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0133] In particular, according to some embodiments of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, some embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In some such embodiments, the computer program can be downloaded and installed from the network through the communication device 809, or installed from the storage device 808, or installed from the ROM 802. When the computer program is executed by the processing device 801, the above-mentioned functions defined in the method of some embodiments of the present disclosure are executed.

[0134] It should be noted that the computer-readable medium described above in some embodiments of the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to, an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0135] In some embodiments of the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device, or device. In some embodiments of the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in combination with an instruction execution system, device, or device. The program code contained on the computer-readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0136] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperTextTransferProtocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an adhoc peer-to-peer network), as well as any currently known or future developed network.

[0137] The computer-readable medium may be included in the electronic device, or may exist independently without being installed in the electronic device. The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: obtains the enterprise situation data of the enterprise to be evaluated; inputs the enterprise situation data into the possibility index analysis model so that the possibility analysis model outputs the corresponding index result; and feeds back the index result to the enterprise to be evaluated; wherein the enterprise situation data includes subject qualification data, standardized operation data and information disclosure data.

[0138] Computer program code for performing the operations of some embodiments of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0139] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, which contains one or more executable instructions for implementing a specified logical function.

[0140] It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures.

[0141] For example, two boxes shown in succession may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of boxes in the block diagram and / or flow chart, can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.

[0142] The units described in some embodiments of the present disclosure may be implemented by software or hardware. The units described may also be set in a processor.

[0143] The functions described above in the present application may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0144] The above descriptions are only some preferred embodiments of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by a specific combination of the above-mentioned technical features, but should also cover other technical solutions formed by any combination of the above-mentioned technical features or their equivalent features without departing from the above-mentioned inventive concept. For example, the above-mentioned features are replaced with the technical features with similar functions disclosed in the embodiments of the present disclosure (but not limited to) and the technical solutions formed.

Claims

1. A method for managing listing possibility index data, comprising: Obtain enterprise situation data of the enterprise to be evaluated; Inputting the enterprise situation data into a possibility index analysis model so that the possibility analysis model outputs a corresponding index result; Feedback the index results to the enterprise to be evaluated; Among them, the enterprise situation data includes entity qualification data, standardized operation data and information disclosure data.

2. The method for managing listing possibility index data according to claim 1, characterized in that: in, The subject qualification data includes: company status data and business stability data; The company status data includes: company type data, operating time data, and paid-in capital data; Among them, the operating stability data includes: main business stability and personnel stability data.

3. The method for managing listing possibility index data according to claim 1, characterized in that: in, The standard operation data include: system construction data and risk behavior data; Wherein, the said system construction data includes system integrity data; Among them, the risk behavior data includes executive risk data, ownership risk data, and debt risk data.

4. The method for managing listing possibility index data according to claim 1, characterized in that: in, The information disclosure data include: authenticity data and sufficiency data; The authenticity data includes: internal control authenticity data and audit authenticity data; Among them, the adequacy data includes: disclosure adequacy data and risk warning authenticity data.

5. The method for managing listing possibility index data according to any one of claims 1 to 4, characterized in that: The listing possibility index data management method further includes: Construct the possibility index analysis model.

6. The method for managing listing possibility index data according to claim 5, Features: Wherein, constructing the possibility index analysis model includes: Build indicator library; Involving scoring models; Index validity verification.

7. The method for managing listing possibility index data according to any one of claims 1 to 4, Features: Wherein, the obtaining of enterprise situation data of the enterprise to be evaluated includes: Provide an interface for the enterprise to be assessed to input data; Capture data from external data sources.

8. A listing possibility index data management device, comprising: An acquisition module, used to acquire enterprise situation data of the enterprise to be evaluated; An analysis module, used for inputting the enterprise situation data into a possibility index analysis model so that the possibility analysis model outputs a corresponding index result; A feedback module, used for feeding back the index result to the enterprise to be evaluated; Among them, the enterprise situation data includes entity qualification data, standardized operation data and information disclosure data.

9. An electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon; When the one or more programs are executed by the one or more processors, the processors implement the method according to any one of claims 1 to 7.

10. A computer readable medium having a computer program stored thereon, wherein: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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