CN112132438A - Investment and financing docking and equity value evaluation system for regional equity market - Google Patents
Investment and financing docking and equity value evaluation system for regional equity market Download PDFInfo
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Abstract
A investment and financing docking and equity value evaluation system for a regional equity market belongs to the technical field of enterprise valuation. The enterprise value evaluation system comprises a basic information management unit, an enterprise value evaluation unit, a value evaluation information output unit and a subsequent service unit, wherein an enterprise is in butt joint with the basic information management unit, the data output end of a data unit is connected with the input end of the enterprise value evaluation unit, the enterprise value is evaluated by using the enterprise value evaluation unit, the enterprise value evaluation unit outputs an enterprise value evaluation result, and the subsequent service unit is connected with the output end of the value evaluation information output unit; the subsequent service unit is simultaneously connected with the basic information management unit and the enterprise. The value of small and medium enterprises is evaluated through the investment and financing butt joint and the equity value evaluation system of the equity market in the region, the subsequent service of the enterprises is realized, and evaluation and valuation results are fed back to machine learning after the subsequent service, so that the model is continuously optimized, and valuation and service are more accurate.
Description
Technical Field
A investment and financing docking and equity value evaluation system for a regional equity market belongs to the technical field of enterprise valuation.
Background
In recent years, with the development of the stock market in China, the role of stock right value evaluation in asset evaluation is larger and wider, and the evaluation range is wider and wider. The evaluation of the equity value can be related to the selling, joint venture cooperation and bankruptcy clearing of the nationalized enterprises, the enterprise merger and acquisition, the analysis of the real value of the invested enterprises by investors and various asset transactions among different investment subjects.
Equity valuation is one of important investment links and important contents of investment agreements, and before investment, the fair value of assets needs to be clearly evaluated. In the traditional valuation method, methods such as a market profitability method, a market net rate method, a market sale rate method, an enterprise value multiple method, an absolute valuation method, a company free cash flow discount method and a stock right free cash flow discount method are mainly used, but the existing valuation method mainly takes financial indexes of enterprises as valuation bases, so that the enterprises cannot be comprehensively evaluated.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the system overcomes the defects of the prior art, and provides a system for collecting, updating and calling new intermediate and small enterprises, finishing the evaluation of enterprise value and realizing the investment and financing docking and equity value evaluation of the regional equity market of the subsequent service of the enterprises.
The technical scheme adopted by the invention for solving the technical problems is as follows: the investment and financing butt joint and equity value evaluation system of the regional equity market is characterized in that: the enterprise value evaluation system comprises a basic information management unit, an enterprise value evaluation unit, a switching and docking unit, a machine learning unit and a subsequent service unit, wherein the output end of the basic information management unit is simultaneously connected with the input ends of the enterprise value evaluation unit and the machine learning unit, the output end of the enterprise value evaluation unit is connected with the input end of the switching and docking unit, the output end of the switching and docking unit is connected with the input end of the subsequent service unit, the output end of the subsequent service unit is simultaneously connected with the basic information management unit, and the output end of the machine learning unit is connected with the input end of the enterprise value evaluation unit.
Preferably, the subsequent service unit comprises a private share right financing module, a share right pledge module, a convertible company bond module, a combined purchase recombination module and a cultivation hatching module.
Preferably, the evaluation model comprises enterprise competitiveness factors, team competitiveness factors, technical competitiveness factors, risk indicator factors and financial indicator factors.
Preferably, the enterprise value evaluation unit includes an enterprise growth factor, a team competitiveness factor, a technical competitiveness factor, a risk factor and a market factor, and the specific calculation formula is as follows:
valuation results = business base value + future revenue reduction with growth prediction competitive factor-negative risk
Wherein the enterprise base value represents an enterprise net asset.
Preferably, the calculation formula of the future profit discount of the growth prediction is as follows:
growth prediction future revenue discount = enterprise net revenue discount rate (1 + macroscopic prediction parameters)
Wherein the macroscopic prediction parameter is a value greater than 0.
Preferably, the competitiveness synthesis factor is a parameter value not greater than 1, and the calculation formula is as follows:
the competitiveness synthesis factor = team population-team academic history-industry population parameter + market share rate (1 + customer growth rate) 100-market industry parameter + patent number-patent parameter + average working time + human cost/team population;
in the team study, 1 is the subject, 0.9 is the specialty and 1.1 is the researcher;
the team competitiveness factor comprises the following evaluation indexes: high management academic calendar, business establishment experience, lead enterprise, share right structure, financing ability and comprehensive leadership ability.
Preferably, the formula for calculating the negative risk is as follows:
negative risk = business base value (negative business average profitability) (1 + credit rate of management).
Preferably, the investment and financing docking unit comprises an equity value management module, a private investment and financing module, a convertible company bond module, a combined purchase recombination module and a cultivation and incubation module.
Preferably, the machine learning unit comprises an information collection module, a correlation calculation module and a parameter output module, wherein the information collection module is connected with the enterprise basic information management unit.
Compared with the prior art, the invention has the beneficial effects that:
in the management system, new collection, update and calling of middle and small enterprises are realized, the enterprise value evaluation unit calls data in the database to evaluate the enterprise value, and the value evaluation result of the enterprise is output through the engagement docking unit after the value evaluation of the enterprise is finished. And the subsequent service unit utilizes the value evaluation result to perform subsequent services such as private share right financing, share right pledge, company bond conversion, purchase recombination, cultivation incubation and the like on the enterprise. And in subsequent service, the platform feeds back the information of the enterprise, thereby further enriching the enterprise information database.
In addition, in the equity evaluation of enterprises, the prior art only depends on financial indexes of the enterprises, and ignores the specific attributes of the enterprises, so that the valuation is often greatly deviated. Especially for enterprises in the TMT and Internet industries, the enterprises have high growth and more intangible assets, so that the enterprise value evaluation cannot be completely reflected by simple financial indexes. Therefore, in the enterprise value evaluation unit of the management system, while traditional financial data is considered, non-financial factors such as enterprise competitiveness, team competitiveness, technical competitiveness, risk indexes and the like are brought into the evaluation of enterprise value, so that a fair value is provided for the enterprise when the value of the enterprise is evaluated, and a reasonable evaluation value is comprehensively formed in a multi-dimensional mode.
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FIG. 1 is a schematic diagram of a system for financing interfacing and equity value assessment in a regional equity market.
FIG. 2 is a schematic diagram of the structure of a subsequent service unit of the investment and financing docking and equity value evaluation system of the regional equity market.
FIG. 3 is a schematic diagram of the basic information management unit structure of the investment and financing docking and equity value evaluation system in the regional equity market.
FIG. 4 is a schematic diagram of an enterprise value evaluation unit structure of the investment and financing docking and equity value evaluation system in the regional equity market.
FIG. 5 is a schematic diagram of the structure of the investment and financing docking unit of the regional equity market and the investment and financing docking unit of the equity value evaluation system.
FIG. 6 is a diagram of a machine learning unit structure of a system for investment and financing interfacing and equity value assessment in a regional equity market.
Detailed Description
Fig. 1 to 6 are preferred embodiments of the present invention, and the present invention will be further described with reference to fig. 1 to 6.
As shown in fig. 1, a system for investment and financing docking and equity value evaluation (hereinafter referred to as a management system) of a regional equity market includes a basic information management unit, an enterprise value evaluation unit, an investment and docking unit, a machine learning unit, and a subsequent service unit. The output end of the basic information management unit is connected with the input ends of the enterprise value evaluation unit and the machine learning unit at the same time, the output end of the enterprise value evaluation unit is connected with the input end of the switching butt joint unit, the output end of the switching butt joint unit is connected with the input end of the subsequent service unit, the output end of the subsequent service unit is connected with the basic information management unit at the same time, and the output end of the machine learning unit is connected with the input end of the enterprise value evaluation unit.
The basic information management unit sends the basic information, the financial information and the operation information of the enterprise to the enterprise value evaluation unit, and meanwhile, the basic information management unit and the machine learning unit are led into the machine learning unit in batches and correlation is calculated by the machine learning unit. And the machine learning unit simultaneously sends the calculated correlation parameters to the enterprise value evaluation unit. The enterprise value evaluation unit obtains an enterprise value analysis report according to the basic information management unit, the enterprise information and the correlation parameters sent by the machine learning unit, sends the enterprise value analysis report into the commissioning and docking unit, the commissioning and docking unit obtains a decision of commissioning and docking according to the value analysis report and sends the decision of commissioning and docking into a subsequent service unit, and the subsequent service unit updates the basic information of the enterprise according to the executed subsequent service result and returns the updated basic information to the basic information management unit.
As shown in fig. 2, the subsequent service unit includes a private equity financing module, an equity pledge module, a convertible company bond module, a merger and recombination module, and a breeding and incubation module, wherein the breeding and incubation module feeds back to each enterprise, and the private equity financing module returns to be connected with the database module.
By arranging the private share right financing module, the enterprise can be helped to introduce strategic investors, private share right financing is realized, and the enterprise can be promoted to grow rapidly. By arranging the share pledge module, after the share value is found, the enterprise can be further helped to obtain loan of financial institutions such as banks through the share parentage. By arranging the convertible company bond module, based on the approval of the equity value of the enterprise, but the continuous profit capacity of the enterprise needs to be observed, the equity investor invests in the target enterprise in a convertible bond form, and further selection space is increased for investing and financing parties. By arranging the parallel purchasing recombination module, after the equity value is fully reflected, the enterprise can be helped to provide effective basis for activities such as parallel purchasing recombination, asset selling and the like of enterprises in the same industry, upstream and downstream enterprises, listed companies and the like. Through the arrangement of the cultivation incubation module, the services of online investment and financing communication, expert interaction and the like are realized, and strategic investment of listed companies and investment institutions on equity value enterprises is realized. Meanwhile, the incubation bases are jointly cultivated by means of multi-level capital markets, training and cultivating strength is enhanced, and rapid growth of enterprises is promoted.
As shown in fig. 3, the basic information management module includes an enterprise basic information module, an enterprise history information module, and an enterprise equity value information module. And returning the information of the enterprise equity value module after subsequent operation according to the enterprise value evaluation unit.
As shown in fig. 4, in the evaluation model of the enterprise value evaluation unit of the management system, in addition to examining the conventional financial data, non-financial data is also included in the evaluation value, specifically including enterprise growth factor, team competitiveness factor, technical competitiveness factor, risk factor, and market factor.
The enterprise growth factors simultaneously comprise: the method comprises the following steps of enterprise life cycle, competitors, market share, customer growth rate, market competition degree, the number of similar competitive products and popularization channel. The enterprise competitiveness is the ability of an enterprise to seek and maintain the maximum profit in market competition, and the stronger the profit gain, the stronger the survival ability of the enterprise is inevitably.
How an enterprise continuously adapts to external environment changes in a certain period, and the survival and development capabilities of the enterprise are established and competitive advantages are formed in the processes of reasonably utilizing various resources and providing products and services, so that the enterprise competitiveness is an important recessive factor in enterprise value evaluation. And by setting a plurality of evaluation indexes such as the life cycle of an enterprise, competitors, market share, customer growth rate, market competition degree, the number of similar competitive products, popularization channels and the like, each evaluation index occupies a corresponding proportion, and the proportion occupied by the competitive power factor of the enterprise when the enterprise carries out value evaluation is obtained according to the actual condition of the enterprise under each evaluation index.
However, the factors of the growth performance of the enterprise are difficult to be completely quantified during estimation, the operation performance of the enterprise can be obtained through auditing, parameters of a macro environment can also be obtained through statistical information, and the future income can be calculated according to the predicted value of the growth performance in the current year through calculation.
The team competitiveness factor mainly includes: high management academic calendar, business establishment experience, lead enterprises, share right structure, financing capacity, comprehensive leadership capacity and other evaluation indexes. By evaluating evaluation indexes such as high management and academic records, business establishment experiences, lead enterprises, share right structures, financing capacity, comprehensive leadership capacity and the like, the state of an enterprise team can be obtained according to the proportion of different indexes, so that the competitiveness state of the enterprise team is objectively obtained, and the state of team competitiveness is used as a factor for value evaluation.
The technical competitiveness factors mainly comprise evaluation indexes such as patent number, research capability, product development speed, working time and the like, and the technical research and development capability of an enterprise can be objectively judged by setting the evaluation indexes of the technical competitiveness, so that the judgment of the enterprise for a product period can be further judged, and only continuous updating, demand change adaptation and new market creation are needed, so that the technical competitiveness factors of the enterprise are also used as reference factors for enterprise value evaluation.
During the development process of enterprises, various problems are inevitably faced. If the potential enterprise risks cannot be identified in time, the potential enterprise risks can have great influence on future enterprise development.
When the enterprise value evaluation unit evaluates the enterprise value, a specific evaluation formula is as follows:
valuation results = business base value + growth forecast future revenue discount competitive edge-negative risk.
Wherein: the enterprise base value represents the enterprise net asset.
The calculation formula for predicting future profit recurrence of growth is as follows:
growth prediction future revenue discount = enterprise net revenue discount rate (1 + macroscopic prediction parameters)
And calculating the macroscopic prediction parameters by machine learning, inputting the financial conditions of the company in the years, calculating the correlation by combining the growth in the macroscopic data, and calculating a prediction parameter larger than 0 according to the correlation and the macroscopic prediction data of the year.
For example, the following steps are carried out: the income of a company in the past 3 years is 1000 thousands, the industry in macroscopic data is normally 10% per year, and the predicted growth rate in this year is probably 8%. The company income growth rate is 0% per year, the macroscopic data normal rate is 10% per year, the correlation is-1, and the macroscopic prediction parameter is-0.08.
The comprehensive competitive power factor is a parameter value not greater than 1, and the following main considerations are taken into account: (1) the team competitiveness comprises the number of team people, the study history of the team, the market share and the customer growth rate; (2) technical competitiveness including the number of patents, the average working time of technical teams (sales category is sales team), and labor cost; (3) the comprehensive competitiveness factor is mainly used for comprehensively collecting data, and is not evaluated when the data volume is small, and is defaulted to 1. The calculation formula and the factors are adjusted according to the requirements, and the calculation formula is as follows:
competitiveness synthesis factor = team population vs. team scholastic (1 is subject, 0.9 is subject, 1.1 is researcher) trade population parameter + market share (1 + customer growth rate) 100 market trade parameter + patent number + average working time + human cost/team population
And after calculation, normalization processing is carried out in the industry, and the processing result is a competitive comprehensive factor. Wherein the sum of the number of the trade people, the market trade parameters and the patent parameters is 1.
The formula for the calculation of negative risk is:
negative risk = business base value (negative business average profitability) (+ ratio of credit investigation problem with management layer)
Wherein the industry average profitability is a manually updated value; the management layer non-credit investigation problem proportion is that the identity card information of all management layers is taken to carry out credit investigation, and the person proportion with the problem of credit investigation, namely the ratio of the number of the persons with the problem of credit investigation to the total number of the persons in the management layers. The mutual assistance of manual judgment and automatic judgment is carried out on whether to calculate the credit investigation problem or not, and the manual intervention is taken as the standard.
As shown in fig. 5, the investment and financing docking unit includes an equity value management module, a private investment and financing module, a convertible company bond module, a combined purchase and recombination module, and a cultivation and incubation module. The equity value management module is connected with the enterprise value evaluation unit.
As shown in fig. 6, the machine learning unit includes an information collection module, a correlation calculation module, and a parameter output module. The information collection module is connected with the enterprise basic information management unit, and the parameter output module is connected with the enterprise equity value evaluation unit.
According to the management system, new collection, updating and calling of middle and small enterprises are achieved by means of the establishment of a large database system of the regional equity market, the enterprise value evaluation unit calls data in the database to evaluate the enterprise value, and after the value evaluation of the enterprises is completed, the value evaluation results of the enterprises are output through the commissioned docking unit. And the subsequent service unit utilizes the value evaluation result to perform subsequent services such as private share right financing, share right pledge, company bond conversion, purchase recombination, cultivation incubation and the like on the enterprise. And in subsequent service, the platform feeds back the information of the enterprise, thereby further enriching the enterprise information database.
In addition, in the equity evaluation of enterprises, the prior art only depends on financial indexes of the enterprises, and ignores the specific attributes of the enterprises, so that the valuation is often greatly deviated. Especially for enterprises in the TMT and Internet industries, the enterprises have high growth and more intangible assets, so that the enterprise value evaluation cannot be completely reflected by simple financial indexes. Therefore, in the enterprise value evaluation unit of the management system, while traditional financial data is considered, non-financial factors such as enterprise competitiveness, team competitiveness, technical competitiveness, risk indexes and the like are brought into the evaluation of enterprise value, so that a fair value is provided for the enterprise when the value of the enterprise is evaluated, and a reasonable evaluation value is comprehensively formed in a multi-dimensional mode.
The foregoing is directed to preferred embodiments of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow. However, any simple modification, equivalent change and modification of the above embodiments according to the technical essence of the present invention are within the protection scope of the technical solution of the present invention.
Claims (9)
1. A system for investment and financing docking and equity value assessment in a regional equity market, comprising: the enterprise value evaluation system comprises a basic information management unit, an enterprise value evaluation unit, a switching and docking unit, a machine learning unit and a subsequent service unit, wherein the output end of the basic information management unit is simultaneously connected with the input ends of the enterprise value evaluation unit and the machine learning unit, the output end of the enterprise value evaluation unit is connected with the input end of the switching and docking unit, the output end of the switching and docking unit is connected with the input end of the subsequent service unit, the output end of the subsequent service unit is simultaneously connected with the basic information management unit, and the output end of the machine learning unit is connected with the input end of the enterprise value evaluation unit.
2. The system for financing interfacing and equity value assessment in a regional equity market according to claim 1, wherein: the subsequent service unit comprises a private share-raising right financing module, a share right pledge module, a convertible company bond module, a co-purchase recombination module and a cultivation and incubation module.
3. The system for financing interfacing and equity value assessment in a regional equity market according to claim 1, wherein: the evaluation model comprises enterprise competitiveness factors, team competitiveness factors, technical competitiveness factors, risk index factors and financial index factors.
4. The system for financing interfacing and equity value assessment in a regional equity market according to claim 1, wherein: the enterprise value evaluation unit comprises an enterprise growth factor, a team competitiveness factor, a technical competitiveness factor, a risk factor and a market factor, and the specific calculation formula is as follows:
valuation results = business base value + future revenue reduction with growth prediction competitive factor-negative risk
Wherein the enterprise base value represents an enterprise net asset.
5. The system of claim 4, wherein the system comprises: the calculation formula of the future profit discount of the growth prediction is as follows:
growth prediction future revenue discount = enterprise net revenue discount rate (1 + macroscopic prediction parameters)
Wherein the macroscopic prediction parameter is a value greater than 0.
6. The system of claim 4, wherein the system comprises: the comprehensive competitive power factor is a parameter value not greater than 1, and the calculation formula is as follows:
the competitiveness synthesis factor = team population-team academic history-industry population parameter + market share rate (1 + customer growth rate) 100-market industry parameter + patent number-patent parameter + average working time + human cost/team population;
in the team study, 1 is the subject, 0.9 is the specialty and 1.1 is the researcher;
the team competitiveness factor comprises the following evaluation indexes: high management academic calendar, business establishment experience, lead enterprise, share right structure, financing ability and comprehensive leadership ability.
7. The system of claim 4, wherein the system comprises: the formula for the calculation of the negative risk is:
negative risk = business base value (negative business average profitability) (1 + credit rate of management).
8. The system for financing interfacing and equity value assessment in a regional equity market according to claim 3, wherein: the investment and financing butt-joint unit comprises an equity value management module, a private investment and financing module, a convertible company bond module, a parallel purchase recombination module and a cultivation and hatching module.
9. The system for financing interfacing and equity value assessment in a regional equity market according to claim 3, wherein: the machine learning unit comprises an information collection module, a correlation calculation module and a parameter output module, wherein the information collection module is connected with the enterprise basic information management unit.
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| CN112669014A (en) * | 2020-12-31 | 2021-04-16 | 浙江融象数科控股有限公司 | Intelligent enterprise diagnosis method and system |
| CN112836939A (en) * | 2021-01-13 | 2021-05-25 | 温州大学 | On-line valuation method and system for entrepreneurship type enterprise |
| CN113762802A (en) * | 2021-09-17 | 2021-12-07 | 昆明理工大学 | Artificial intelligence PPP project financing evaluation system |
| DE102021112536A1 (en) | 2021-05-13 | 2022-11-17 | Thomas Meyer | ALTERNATIVE MUTUAL FUND FORECAST PROCEDURE |
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| CN112669014A (en) * | 2020-12-31 | 2021-04-16 | 浙江融象数科控股有限公司 | Intelligent enterprise diagnosis method and system |
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| DE102021112536A1 (en) | 2021-05-13 | 2022-11-17 | Thomas Meyer | ALTERNATIVE MUTUAL FUND FORECAST PROCEDURE |
| CN113762802A (en) * | 2021-09-17 | 2021-12-07 | 昆明理工大学 | Artificial intelligence PPP project financing evaluation system |
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