CN114529407A - Stock right management evaluation method and device, electronic equipment and readable storage medium - Google Patents
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Abstract
The application discloses a method and a device for evaluating the management of the equity of a stock, an electronic device and a readable storage medium, which are applied to the technical field of big data, wherein the method for evaluating the management of the equity of the stock comprises the following steps: acquiring an input instruction of each right management data of a right management target, and acquiring each right management data according to the input instruction; importing each right management data into a preset right management evaluation model to obtain a dimension score of at least one right management dimension corresponding to each right management data; obtaining a capacity reference value of at least one right management capacity which corresponds to all right management dimensions of different dynamic combinations through dynamically combining all the dimension scores; and generating an individualized evaluation result of the equity governance target according to each dimension score and each capacity reference value. The method and the device solve the technical problem that in the prior art, the accuracy of evaluation of right management is low due to human subjective factors.
Description
Technical Field
The application relates to the technical field of big data, in particular to a method and a device for evaluating the management of equity of shares, an electronic device and a readable storage medium.
Background
With the continuous development of economy, more and more initial enterprises are born, and meanwhile, the enterprise life cycle has important hidden dangers due to the fact that an creator does not know the equity architecture and lacks professional legal knowledge, at present, the creator usually employs an industry expert to provide professional equity management and evaluation, so that the risk of dearseness and loss of the enterprise due to the unhealthy equity of the equity is avoided, but due to the fact that the business capabilities of the industry expert are different, meanwhile, the evaluation process depends on the subjective judgment of the industry expert, the enterprise survival hidden dangers caused by unreasonable equity architecture cannot be practically eliminated, and further irretrievable loss is easily caused, namely, the accuracy of the equity management and evaluation is low.
Disclosure of Invention
The application mainly aims to provide a method, a device, an electronic device and a readable storage medium for evaluating the equity governance, and aims to solve the technical problem that the accuracy rate of the equity governance evaluation is low due to human subjective factors in the prior art.
In order to achieve the above object, the present application provides a method for evaluating copyright governance, including:
acquiring an input instruction of each right management data of a right management target, and acquiring each right management data according to the input instruction;
importing the right of stock governance data into a preset right of stock governance evaluation model to obtain a dimension score of at least one right of stock governance dimension corresponding to the right of stock governance data;
obtaining a capacity reference value of at least one right management capacity corresponding to the right management dimensions of different dynamic combinations through dynamically combining the scores of the dimensions;
and generating an individualized evaluation result of the right management target in the preset right management evaluation model according to the dimension scores and the capacity reference values.
Optionally, the rights management data comprises first rights management data and second rights management data,
the step of obtaining the right of stock governance data according to the input instruction comprises the following steps:
acquiring each first right management data based on a first instruction corresponding to the input instruction;
and receiving each second instruction corresponding to the input instruction input by the user to obtain each second right management data.
Optionally, the step of importing each of the right of stock governance data into a preset right of stock governance evaluation model to obtain a dimension score of at least one right of stock governance dimension corresponding to each of the right of stock governance data includes:
determining the actual score value of each right management index in the preset right management evaluation model according to each right management data;
weighting each actual score value respectively through a preset weight value to obtain a model score value of each right management index;
converting each of the model score values into a dimension score for at least one of the equity management dimensions.
Optionally, the step of obtaining, by dynamically combining the scores of the dimensions, a capability reference value of at least one right management capability corresponding to each right management dimension of different dynamic combinations includes:
determining at least one share governing capacity corresponding to each share governing dimension according to a combination mode of each share governing dimension;
fusing the dimension scores according to the fusion index number corresponding to each right management ability to obtain an ability basic value of each right management ability, wherein the fusion index number is used for representing the sum of the right management index numbers corresponding to each right management ability;
and adjusting the capacity basic value according to a preset adjusting coefficient corresponding to each right management capacity to obtain a capacity reference value of each right management capacity.
Optionally, after the step of obtaining each of the right of stock governance data according to the input instruction, the right of stock governance evaluation method further includes:
generating each right governance sample data of the right governance target according to each right governance data;
importing the share right governance sample data into the preset share right governance evaluation model to obtain a dimension sample score of at least one share right governance dimension corresponding to the share right governance sample data;
obtaining a capacity sample value of at least one share right management capacity which corresponds to the share right management dimensions of different dynamic combinations through dynamically combining the scores of the sample of each dimension;
and storing the scores of the dimension samples and the capacity sample values into the preset equity governance assessment model.
Optionally, the equity governance dimension includes: at least one of a ground plane dimension, a legality dimension, a rationality dimension, a stability dimension, a financing dimension, and a flexibility dimension.
Optionally, the equity governance capability includes at least one of risk resistance capability, talent attraction capability, fund financing capability, and development driving capability.
In order to achieve the above object, the present application also provides an evaluation device for controlling right of stock, the evaluation device for controlling right of stock includes:
the acquisition module is used for acquiring an input instruction of each right management data of the right management target and acquiring each right management data according to the input instruction;
the import module is used for importing the right of stock governance data into a preset right of stock governance evaluation model to obtain a dimension score of at least one right of stock governance dimension corresponding to the right of stock governance data;
the combination module is used for obtaining a capacity reference value of at least one right management capacity which corresponds to the right management dimensions of different dynamic combinations through dynamically combining the scores of the dimensions;
and the generating module is used for generating an individualized evaluation result of the equity governance target according to each dimension score and each capability reference value.
Optionally, the right of stock governance data includes first right of stock governance data and second right of stock governance data, and the obtaining module is further configured to:
acquiring each first right management data based on a first instruction corresponding to the input instruction;
and receiving each second instruction corresponding to the input instruction input by the user to obtain each second right management data.
Optionally, the importing module is further configured to:
determining the actual score value of each right management index in the preset right management evaluation model according to each right management data;
weighting each actual score value respectively through a preset weight value to obtain a model score value of each right management index;
converting each of the model score values into a dimension score for at least one of the equity management dimensions.
Optionally, the combining module is further configured to:
determining at least one share governing capacity corresponding to each share governing dimension according to a combination mode of each share governing dimension;
fusing the dimension scores according to the fusion index number corresponding to each right management ability to obtain an ability basic value of each right management ability, wherein the fusion index number is used for representing the sum of the right management index numbers corresponding to each right management ability;
and adjusting the capacity basic value according to a preset adjusting coefficient corresponding to each right management capacity to obtain a capacity reference value of each right management capacity.
Optionally, the right of stock governance assessment apparatus is further configured to:
generating each right governance sample data of the right governance target according to each right governance data;
importing the share right governance sample data into the preset share right governance evaluation model to obtain a dimension sample score of at least one share right governance dimension corresponding to the share right governance sample data;
obtaining a capacity sample value of at least one share right management capacity which corresponds to the share right management dimensions of different dynamic combinations through dynamically combining the scores of the sample of each dimension;
and storing the scores of the dimension samples and the capacity sample values into the preset equity governance assessment model.
Optionally, the equity governance dimension includes: at least one of a ground plane dimension, a legality dimension, a rationality dimension, a stability dimension, a financing dimension, and a flexibility dimension.
Optionally, the equity governance capability includes at least one of risk resistance capability, talent attraction capability, fund financing capability, and development driving capability.
The present application further provides an electronic device, the electronic device including: the system comprises a memory, a processor and a program of the right management evaluation method stored on the memory and capable of running on the processor, wherein the program of the right management evaluation method can realize the steps of the right management evaluation method when being executed by the processor.
The present application also provides a readable storage medium which is a computer readable storage medium having stored thereon a program for implementing the evaluation method of right to stock control, the program implementing the steps of the evaluation method of right to stock control as described above when executed by a processor.
The present application also provides a computer program product comprising a computer program which, when executed by a processor, performs the steps of the method for assessing equity management as described above.
The application provides a method, a device, an electronic device and a readable storage medium for evaluating the management of the right of stock, compared with the technical means of hiring industry experts to provide professional management evaluation of the right of stock in the prior art, the application firstly obtains an input instruction of each right of stock management data of a right of stock management target, obtains each right of stock management data according to the input instruction, obtains a dimension score of at least one right of stock management dimension corresponding to each right of stock management data in common because the right of stock management data can objectively reflect the own right of stock management condition of the right of stock management target, further leads each right of stock management data into a preset right of stock management evaluation model, obtains a capacity reference value of at least one right of stock management capacity corresponding to each right of stock management dimension of different dynamic combinations by dynamically combining each dimension score, and realizes that each qualitative right of stock management data is automatically converted into a quantitative number through the preset right of stock management evaluation model According to the purpose, an individualized evaluation result of the right of stock governance target is generated in the preset right of stock governance evaluation model according to the dimension scores and the capacity reference values, the purpose of evaluating the right of stock governance condition of the right of stock governance target through two quantitative data of the dimension scores and the capacity reference values can be achieved, the right of stock governance evaluation of the right of stock governance target is finished according to subjective judgment of industry experts, and the problem that the evaluation is inaccurate due to the fact that the dimension scores and the capacity reference values are adopted for carrying out comprehensive and objective right of stock governance evaluation is solved in the prior art, and therefore the accuracy of the right of stock governance evaluation is improved.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a schematic flow chart of a first embodiment of the evaluation method for controlling equity in this application;
FIG. 2 is a schematic flow chart of a second embodiment of the evaluation method for controlling equity in this application;
fig. 3 is a schematic device structure diagram of a hardware operating environment according to an embodiment of the present application.
The objectives, features, and advantages of the present application will be further described with reference to the accompanying drawings.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In a first embodiment of the present invention, referring to fig. 1, a method for evaluating copyright governance includes:
step S10, acquiring an input instruction of each right management data of a right management target, and acquiring each right management data according to the input instruction;
in this embodiment, it should be noted that the evaluation method for controlling rights of stock is deployed in an intelligent terminal, the target of rights of stock control is an enterprise corresponding to the data of rights of stock control input by the user at the intelligent terminal, the input mode of the data of rights of stock control may be a mode input through a web page or an APP, and the data of rights of stock control is used to represent the basic information of rights of stock control of the target of rights of stock control, for example, the data of rights of stock control may be "5-20 persons", "limited stocks", or "how large one is".
In an implementation manner, the acquisition manner of the equity management data may be an acquisition manner of acquiring answers through a designed objective questionnaire, wherein the questionnaire designs 50 questions in total, the questions in the questionnaire include a selection question and a blank filling question, the selection question has a preset number of options, the blank filling question is filled in subjectively by a user according to the question stem, each question stem corresponds to a unique qualitative index, that is, there are 50 qualitative indexes of equity management evaluation, wherein the qualitative indexes are used for summarizing the direction of enterprise equity management, for example, if a question a is "which financing stage the company is in", the qualitative index corresponding to the question a is "financing stage", wherein the question a is a selection question having six options of "angel wheel", "seed wheel", "a wheel", "B wheel", "behind B wheel", and "without financing", when the user clicks the only option "round a", the right of stock governance data of the certain index of the "financing stage" is generated as "round a", wherein the specific form of the right of stock governance data can be characters, numbers and the like.
As an example, step S10 includes: when detecting the input instruction trigger of each share management data of the share management target, acquiring the share management data corresponding to each input instruction, wherein the triggering mode can be triggered by detecting that a user selected a specific option or input specific content at a specified position of a questionnaire, for example, if a question B is that whether a company signs a confidential agreement with each shareholder or not, wherein the question B is a selection question of four options of 'all available', 'partially available', 'none', and 'unclear', and when detecting that the user selected any one of the four options of 'all available', 'partially available', 'none', and 'unclear', the input instruction trigger is determined.
Regarding step S10, the right of stock governance data includes first right of stock governance data and second right of stock governance data, and the step of obtaining each of the right of stock governance data according to the input instruction includes:
step S11, acquiring each first right management data based on a first instruction corresponding to the input instruction;
and step S12, receiving each second instruction corresponding to the input instruction input by the user to obtain each second right management data.
In this embodiment, it should be noted that the right of stock governance data includes first right of stock governance data and second right of stock governance data, the first right of stock governance data is right of stock governance data acquired through a public channel, for example, the first right of stock governance data may include index information corresponding to qualitative indexes such as a company name, shareholder information, registered capital and whether it is actually paid, and the second right of stock governance data is right of stock governance data acquired through a designed questionnaire, for example, the second right of stock governance data may include index information corresponding to qualitative indexes such as passive withdrawal, intellectual property right attribution and action agreement.
Additionally, it should be noted that the first instruction is used for acquiring first stock right management data, the first instruction may be triggered and generated by detecting that a user clicks a "start evaluation" interaction button, the second instruction is used for acquiring second stock right management data, and the second instruction may be triggered and generated by detecting that a user inputs index information of a qualitative index.
As an example, step S10 includes: when detecting that a first instruction of each first right management data of the right management target is triggered, acquiring each first right management data through a public channel, wherein the public channel can be an enterprise information query APP, a cloud server and the like, and the acquisition can be performed in a mode of inputting a tax payment identification number or an enterprise name; step S20 includes: when detecting that each second instruction of each second right management data of the right management target is triggered, determining each corresponding second right management data according to each second instruction.
Step S20, importing each right management data into a preset right management evaluation model to obtain a dimension score of at least one right management dimension corresponding to each right management data;
in this embodiment, it should be noted that the preset equity governance assessment model is configured to convert qualitative equity governance data into a quantitative score value, and output an equity governance assessment result through a core algorithm, where the equity governance dimension is used to represent equity governance dimension information of the equity governance target, and may specifically be a governance condition reflecting an enterprise equity governance mechanism, and in an implementable manner, the equity governance dimension includes at least one of a base face dimension, a legality dimension, a rationality dimension, a stability dimension, a financing dimension, and a flexibility dimension, and the dimension score is a specific score value, and the dimension score may be 55, 62.1, 77.7, and 80, and so on.
In an implementable mode, the fundamental plane dimension comprises five equity governance indexes, the legality dimension comprises nine equity governance indexes, the rationality dimension comprises nine equity governance indexes, the stability dimension comprises nine equity governance indexes, the financing dimension comprises nine equity governance indexes, and the flexibility dimension comprises nine equity governance indexes.
Regarding step S20, the step of importing each of the right of stock governance data into a preset right of stock governance evaluation model to obtain a dimension score of at least one right of stock governance dimension corresponding to each of the right of stock governance data includes:
step S21, determining the actual score value of each right management index in the preset right management evaluation model according to each right management data;
and step S22, weighting each actual score value respectively through a preset weight value to obtain a model score value of each right management index.
Step S23, converting each model score value into a dimension score of at least one equity governance dimension.
In this embodiment, it should be noted that the right of stock control index is used for reflecting the specific situation of the right of stock control of the qualitative index, for example, the right of stock control index "how many people the company has at present scale" is used for reflecting the qualitative index "company scale", the right of stock control index "which category the company property belongs to" is used for reflecting the qualitative index "organization form", and the right of stock control index "which item the right of stock structure is closer to" is used for reflecting the qualitative index "right of stock structure".
Additionally, it should be noted that, during the evaluation of the right of stock control, a plurality of right of stock control indexes exist in the same right of stock control dimension, and each right of stock control index has a plurality of answers, and the qualitative right of stock control index can be converted into a quantitative score value, i.e. an actual score value, by means of a preset right of stock control evaluation model, for example, assuming that the selection question C is "what the proportion of the registered capital completing the actual payment" is, "wherein the selection question C includes four options of" all actual payment, "unclear," "all unfinished," and "part of shareholders actual payment," when the user selects the option "all actual payment," the preset right of stock control evaluation model maps the score value formed by "registering capital completing the actual payment" according to the right of stock control data to 2 scores, when the user selects "all unfinished payment," the preset right of stock control evaluation model maps the score value formed by the right of stock control evaluation model according to the right of stock control data to 1 score, when the user selects the option ' part of shareholders ' stocks are actually paid ', the score value mapped by the preset shareholders management evaluation model according to the shareholders management data is 1.5, and when the user selects the option ' unclear ', the score value mapped by the preset shareholders management evaluation model according to the shareholders management data is 0, wherein the score values of 0,1, 1.5 and 2 are actual score values
Additionally, it should be noted that, when performing the evaluation of the right to stock control, the importance degree of each right to stock control indicator is different, so different weight values need to be set for different right to stock control indicators, and the actual score value of the right to stock control indicator is multiplied by the corresponding weight value to obtain the model score value, for example, assuming that the actual score value of the right to stock control indicator D is 2 points, the weight value of the right to stock control indicator D is
As an example, step S21 includes: importing each right of stock governance data into each corresponding right of stock governance index in the preset right of stock governance evaluation model, and determining a score value of each right of stock governance index according to options of each governance data in each corresponding right of stock governance index; step S22 includes: multiplying each actual score value by each corresponding weight value to obtain a model score value of each right management index; step S23 includes: and summarizing and averaging the model score values belonging to the same dimensionality class, and multiplying the summarized and averaged score values by an index number to obtain dimensionality scores of the equity governance dimensionalities, wherein the index number is the number of the equity governance indexes, the value range of the dimensionality scores can be (0,100), the dimensionality classes comprise at least one of basic surface, legality, rationality, stability, financing and flexibility, and each equity governance index belongs to one of the six dimensionality classes.
In an implementation manner, the step of summarizing and averaging the score values of the models belonging to the same dimensionality category, and multiplying the summarized and averaged score values by the index number of the preset share right management evaluation model to obtain the dimensionality score of each share right management dimensionality includes: assuming that the number of the right-of-stock governance indexes is 50, wherein five right-of-stock governance indexes are subordinate to the basic plane dimension in the right-of-stock governance dimensions, and the score value of the model corresponding to the basic plane dimension is 7.5 points, the score value obtained by summarizing and averaging the score values subordinate to the basic plane dimension is 1.5, and the score value obtained by summarizing and averaging is multiplied by the index number to obtain the dimension score of the basic plane dimension of 75 points.
In a practical mode, the qualitative index is assumed to be an 'estimation mode', the corresponding theme of the qualitative index is 'which one company estimation mode is closest to', and the 'which one company estimation mode is closest to' is the equity management index, when the user selects any one of the options of "fixed asset funding method", "reference to company or similar enterprise analogy", "investment institution comprehensive assessment", "according to profit situation", "according to registered capital" and "initiative team self assessment", the right management data can be obtained, after the right management data is imported to the corresponding right management index in the preset right management evaluation model, specific index information of the qualitative index can be obtained, for example, if the user selects "investment institution comprehensive assessment", the index information of the qualitative index 'valuation mode' is obtained as 'the company valuation mode is closest to the comprehensive evaluation of investment institutions'.
Step S30, dynamically combining the dimension scores to obtain a capacity reference value of at least one right management capacity corresponding to the right management dimensions of different dynamic combinations;
step S40, generating an individualized evaluation result of the right management goal in the preset right management evaluation model according to each dimension score and each capacity reference value.
In this embodiment, it should be noted that, in the evaluation of equity governance, in addition to evaluating the current equity governance of an enterprise by dimensions, the ability of the current equity governance of the enterprise to cope with the future market environment should be predicted, so as to introduce equity governance ability, wherein the equity governance ability includes at least one of risk resistance ability, talent attraction ability, fund compatibility ability, and development driving ability, wherein the equity governance ability is dynamically combined by a preset number of equity governance dimensions, in an implementable manner, the risk resistance ability is combined by a legal dimension, a reasonable dimension, and a stability dimension, the development driving ability is combined by a reasonable dimension, a financing dimension, and a flexibility dimension, and the talent attraction ability is combined by a reasonable dimension, a stability dimension, and a financing dimension, the fund financing capacity is formed by combining a legality dimension, a financing dimension and a flexibility dimension.
Additionally, it should be noted that, during the evaluation of the right of stock management, since each right of stock management dimension has a dimension score, the right of stock management capability dynamically combined by each right of stock management dimension should also have a quantitative score value, that is, a capability reference value, and the personalized evaluation result may be a visual text report, a graph report, and the like, and meanwhile, a targeted optimization suggestion may be generated so that the user can accurately recognize the right of stock management condition of the right of stock management target.
As an example, step S30 includes: obtaining different dynamic combinations of the right management abilities by dynamically combining the right management dimensions, and calculating to obtain the capacity reference value of each right management ability according to the dimension score of each right management dimension in the different dynamic combinations; step S40 includes: and generating an individualized evaluation result of the right management target in the preset right management evaluation model according to the dimension scores and the capacity reference values.
Regarding step S30, the step of obtaining, by dynamically combining the scores of the dimensions, a capability reference value of at least one right management capability corresponding to each right management dimension of different dynamic combinations includes:
step S31, determining at least one share right governing capacity corresponding to each share right governing dimension according to the combination mode of each share right governing dimension;
step S32, fusing the dimension scores according to the fusion index number corresponding to each right management ability to obtain an ability basic value of each right management ability, wherein the fusion index number is used for representing the sum of the right management index numbers corresponding to each right management ability;
and step S33, adjusting each capacity basic value according to the preset adjusting coefficient corresponding to each right management capacity to obtain a capacity reference value of each right management capacity.
In this embodiment, it should be noted that the number of the fusion indexes is used to represent the sum of the right management indexes corresponding to each of the right management dimensions, and is specifically determined by the number of the right management indexes constituting the right management dimensions, for example, in an implementable manner, the number of the right management indexes is 50, where the number of the right management indexes constituting the rationality dimension is 9, the number of the right management indexes constituting the legitimacy dimension is 9, and the number of the right management indexes constituting the stability dimension is 9, and then the number of the fusion indexes of the risk tolerance capability is 27.
As an example, step S31 includes: determining risk resisting capacity according to a preset first combination mode, determining development driving capacity according to a preset second combination mode, determining talent attraction capacity according to a preset third combination mode, and determining fund financing capacity according to a preset fourth combination mode, wherein the preset first combination mode is a mode of combining a legality dimension, a rationality dimension and a stability dimension, the preset second combination mode is a mode of combining a rationality dimension, a financing dimension and a flexibility dimension, the preset third combination mode is a mode of combining the rationality dimension, the stability dimension and the financing dimension, and the preset fourth combination mode is a mode of combining the legality dimension, the financing dimension and the flexibility dimension; step S32 includes: carrying out weighted fusion on each dimension score corresponding to each right management ability, and determining an ability basic value of each right management ability according to the ratio of the dimension score after weighted fusion to the fusion index number, wherein the ability basic value is used for representing the unadjusted score value of each right management ability; step S33 includes: and determining the capacity reference value of each right management capacity according to the product of each capacity base value and the corresponding preset regulation coefficient, wherein the preset regulation coefficient is used for regulating the score value of each right management capacity. The method achieves the purpose of analyzing the equity management capability of the equity management target through the dynamic combination of different equity management dimensions.
The embodiment of the application provides a method for evaluating the management of the right of stock, compared with the technical means of hiring industry experts to provide professional management evaluation of the right of stock in the prior art, the method for evaluating the management of the right of stock firstly obtains input instructions of all right of stock management data of a right of stock management target, obtains all right of stock management data according to the input instructions, can objectively reflect own right of stock management conditions of the right of stock management target due to the right of stock management data, further leads all right of stock management data into a preset right of stock management evaluation model, obtains dimension scores of at least one right of stock management dimension corresponding to all right of stock management data together, further obtains at least one right of stock management capability reference value corresponding to all right of stock management dimensions of different dynamic combinations by dynamically combining all the dimension scores, and achieves the purpose of automatically converting all right of stock management data of qualitative through the preset right of stock management evaluation model into quantitative data, and then according to each dimension score and each capacity reference value, generating an individualized evaluation result of the right of stock governance target in the preset right of stock governance evaluation model, so that the purpose of evaluating the right of stock governance condition of the right of stock governance target through two quantitative data of the dimension score and the capacity reference value can be realized, the right of stock governance evaluation of the right of stock governance target is finished according to subjective judgment of an industry expert instead of the subjective judgment of the industry expert, and the problem that the evaluation is inaccurate in the prior art due to the adoption of the dimension score and the capacity reference value is solved, and the accuracy of the right of stock governance evaluation is improved.
Referring to fig. 2, in another embodiment of the present application, the same or similar contents as those in the first embodiment may be referred to the above description, and are not repeated herein. On this basis, after the step of acquiring each of the right of stock governance data according to the input instruction, the right of stock governance evaluation method further includes:
step A10, generating each right governance sample data of the right governance target according to each right governance data;
step A20, importing each right management sample data into the preset right management evaluation model to obtain a dimension sample score of at least one right management dimension corresponding to each right management sample data;
a30, dynamically combining the scores of the samples of the dimensions to obtain a capability sample value of at least one right management capability corresponding to the right management dimensions of different dynamic combinations;
step A40, storing the scores of the dimensional samples and the values of the capacity samples in the preset equity governance assessment model.
In this embodiment, it should be noted that, when performing the evaluation of the right to stock control, and when the preset right to stock control evaluation model obtains each right to stock control data, in order to enable the user to have clear knowledge of the current right to stock control situation of the right to stock control target, right to stock control sample data corresponding to each right to stock control data is synchronously generated, where the right to stock control sample data is reference data of the right to stock control data, and meanwhile, the scores of the dimension samples correspond to the scores of the dimension samples one to one, and the capacity sample values correspond to the capacity reference values one to one.
As an example, step a10 includes: generating each right governance sample data of the right governance target according to each right governance data; the specific steps included in steps a20 through a30 refer to the specific steps S20 through S30, which are not described herein again; step a40 includes: and storing the scores of the dimension samples and the capacity sample values into the preset equity governance assessment model for displaying when the personalized assessment result is generated.
The embodiment of the application provides a method for evaluating the management of the rights of stock, namely, firstly, according to each data of the rights of stock management, generating each data of the rights of stock management of the targets of the rights of stock management, further leading each data of the rights of stock management into the preset model of the rights of stock management evaluation, obtaining the dimension sample score of at least one rights of stock management dimension corresponding to each data of the rights of stock management, further by dynamically combining each dimension sample score, obtaining the capability sample value of at least one rights of stock management capability corresponding to each rights of stock management dimensions of different dynamic combinations, further saving each dimension sample score and each capability sample value into the preset model of the rights of stock management evaluation, if the rights of stock management targets of stock management are evaluated only through the data of rights of the rights of stock management, because there is no reference target, the situation of the own right management cannot be accurately known, and by adding the right management sample data in the personalized evaluation result, the right management evaluation situation of the right management target can be truly reflected by comparing the dimension score with the dimension sample score and comparing the capacity reference value with the capacity sample value.
The embodiment of the present application further provides an evaluation device for controlling stock right, where the evaluation device for controlling stock right includes:
the acquisition module is used for acquiring an input instruction of each right management data of the right management target and acquiring each right management data according to the input instruction;
the import module is used for importing the right of stock governance data into a preset right of stock governance evaluation model to obtain a dimension score of at least one right of stock governance dimension corresponding to the right of stock governance data;
the combination module is used for obtaining a capacity reference value of at least one right management capacity which corresponds to the right management dimensions of different dynamic combinations through dynamically combining the scores of the dimensions;
and the generating module is used for generating an individualized evaluation result of the equity governance target according to each dimension score and each capability reference value.
Optionally, the right of stock governance data includes first right of stock governance data and second right of stock governance data, and the obtaining module is further configured to:
acquiring each first right management data based on a first instruction corresponding to the input instruction;
and receiving each second instruction corresponding to the input instruction input by the user to obtain each second right management data.
Optionally, the importing module is further configured to:
determining the actual score value of each right management index in the preset right management evaluation model according to each right management data;
weighting each actual score value respectively through a preset weight value to obtain a model score value of each right management index;
converting each of the model score values into a dimension score for at least one of the equity management dimensions.
Optionally, the combining module is further configured to:
determining at least one share right governing capacity which corresponds to each share right governing dimension according to a combination mode of each share right governing dimension;
fusing the dimension scores according to the fusion index number corresponding to each right management ability to obtain an ability basic value of each right management ability, wherein the fusion index number is used for representing the sum of the right management index numbers corresponding to each right management ability;
and adjusting each capacity basic value according to a preset adjusting coefficient corresponding to each right management capacity to obtain a capacity reference value of each right management capacity.
Optionally, the apparatus for evaluating equity governance is further configured to:
generating each right governance sample data of the right governance target according to each right governance data;
importing the share right governance sample data into the preset share right governance evaluation model to obtain a dimension sample score of at least one share right governance dimension corresponding to the share right governance sample data;
obtaining a capacity sample value of at least one share right management capacity which corresponds to the share right management dimensions of different dynamic combinations through dynamically combining the scores of the sample of each dimension;
and storing the scores of the dimension samples and the capacity sample values into the preset equity governance assessment model.
Optionally, the equity governance dimension includes: at least one of a ground plane dimension, a legality dimension, a rationality dimension, a stability dimension, a financing dimension, and a flexibility dimension.
Optionally, the equity governance capability includes at least one of risk resistance capability, talent attraction capability, fund financing capability, and development driving capability.
The device for evaluating the right of stock control provided by the invention adopts the method for evaluating the right of stock control in the first embodiment or the second embodiment, thereby solving the technical problem of low accuracy of the right of stock control evaluation caused by artificial subjective factors. Compared with the prior art, the beneficial effects of the right of stock management evaluation device provided by the embodiment of the invention are the same as the beneficial effects of the right of stock management evaluation method provided by the embodiment, and other technical characteristics in the right of stock management evaluation device are the same as the characteristics disclosed by the embodiment method, which are not repeated herein.
An embodiment of the present invention provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; the storage stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method for evaluating equity management in the first embodiment.
Referring now to FIG. 3, shown is a schematic diagram of an electronic device suitable for use in implementing embodiments of the present disclosure. The electronic devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., car navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 3, the electronic device may include a processing means (e.g., a central processing unit, a graphic processor, etc.) that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) or a program loaded from a storage means into a Random Access Memory (RAM). In the RAM, various programs and data necessary for the operation of the electronic apparatus are also stored. The processing device, the ROM, and the RAM are connected to each other by a bus. An input/output (I/O) interface is also connected to the bus.
Generally, the following systems may be connected to the I/O interface: input devices including, for example, touch screens, touch pads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, and the like; output devices including, for example, Liquid Crystal Displays (LCDs), speakers, vibrators, and the like; storage devices including, for example, magnetic tape, hard disk, etc.; and a communication device. The communication means may allow the electronic device to communicate wirelessly or by wire with other devices to exchange data. While the figures illustrate an electronic device with various systems, it is to be understood that not all illustrated systems are required to be implemented or provided. More or fewer systems may alternatively be implemented or provided.
In particular, the processes described above with reference to the flow diagrams may be implemented as computer software programs, according to embodiments of the present disclosure. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means, or installed from a storage means, or installed from a ROM. The computer program, when executed by a processing device, performs the above-described functions defined in the methods of the embodiments of the present disclosure.
The electronic equipment provided by the invention adopts the method for evaluating the right of stock control in the first embodiment or the second embodiment, and solves the technical problem of low accuracy of the right of stock control evaluation caused by artificial subjective factors. Compared with the prior art, the beneficial effects of the electronic device provided by the embodiment of the invention are the same as the beneficial effects of the right management evaluation method provided by the first embodiment, and other technical features of the electronic device are the same as those disclosed in the method of the first embodiment, which are not repeated herein.
It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the foregoing description of embodiments, the particular features, structures, materials, or characteristics may be combined in any suitable manner in any one or more embodiments or examples.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
The present embodiment provides a computer-readable storage medium having computer-readable program instructions stored thereon for performing the method of equity management assessment of the first embodiment.
The computer readable storage medium provided by the embodiments of the present invention may be, for example, a USB flash disk, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, or device, or any combination thereof. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present embodiment, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, or device. Program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer-readable storage medium may be embodied in an electronic device; or may be present alone without being incorporated into the electronic device.
The computer readable storage medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring an input instruction of each right management data of a right management target, and acquiring each right management data according to the input instruction; importing the right of stock governance data into a preset right of stock governance evaluation model to obtain a dimension score of at least one right of stock governance dimension corresponding to the right of stock governance data; obtaining a capacity reference value of at least one right management capacity corresponding to the right management dimensions of different dynamic combinations through dynamically combining the scores of the dimensions; and generating an individualized evaluation result of the right management target in the preset right management evaluation model according to the dimension scores and the capacity reference values.
Computer program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Sma l ta l k, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, 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 the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). 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. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present disclosure may be implemented by software or hardware. Wherein the names of the modules do not in some cases constitute a limitation of the unit itself.
The computer readable storage medium provided by the invention stores the computer readable program instruction for executing the stock right management evaluation method, and solves the technical problem of low accuracy of the stock right management evaluation caused by artificial subjective factors. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the embodiment of the invention are the same as the beneficial effects of the equity management assessment method provided by the first embodiment or the second embodiment, and are not repeated herein.
The present application also provides a computer program product comprising a computer program which, when executed by a processor, performs the steps of the method for assessing equity management as described above.
The computer program product solves the technical problem of low accuracy of equity management evaluation caused by artificial subjective factors. Compared with the prior art, the beneficial effects of the computer program product provided by the embodiment of the present invention are the same as the beneficial effects of the equity management assessment method provided by the first embodiment or the second embodiment, and are not described herein again.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings, or which are directly or indirectly applied to other related technical fields, are included in the scope of the present application.
Claims (10)
1. An equity governance assessment method, comprising:
acquiring an input instruction of each right management data of a right management target, and acquiring each right management data according to the input instruction;
importing the right of stock governance data into a preset right of stock governance evaluation model to obtain a dimension score of at least one right of stock governance dimension corresponding to the right of stock governance data;
obtaining a capacity reference value of at least one right management capacity corresponding to the right management dimensions of different dynamic combinations through dynamically combining the scores of the dimensions;
and generating an individualized evaluation result of the right management target in the preset right management evaluation model according to the dimension scores and the capacity reference values.
2. The equity governance assessment method of claim 1, wherein said equity governance data comprises first equity governance data and second equity governance data,
the step of obtaining the right of stock governance data according to the input instruction comprises the following steps:
acquiring each first right management data based on a first instruction corresponding to the input instruction;
and receiving each second instruction corresponding to the input instruction input by the user to obtain each second right management data.
3. The method according to claim 1, wherein the step of importing each of the right management data into a preset right management evaluation model to obtain a dimension score of at least one right management dimension corresponding to each of the right management data comprises:
determining the actual score value of each right management index in the preset right management evaluation model according to each right management data;
weighting each actual score value respectively through a preset weight value to obtain a model score value of each right management index;
converting each of the model score values into a dimension score for at least one of the equity management dimensions.
4. The method according to claim 1, wherein the step of obtaining at least one capacity benchmark value of the right management capacity corresponding to each of the right management dimensions of different dynamic combinations by dynamically combining the scores of the dimensions comprises:
determining at least one share governing capacity corresponding to each share governing dimension according to a combination mode of each share governing dimension;
and fusing the dimension scores according to the fusion index number corresponding to each right management capacity to obtain a capacity base value of each right management capacity, wherein the fusion index number is used for representing the sum of the right management index numbers corresponding to each right management capacity.
5. The method of claim 1, wherein after the step of obtaining the respective right governance data according to the input command, the method further comprises:
generating each right governance sample data of the right governance target according to each right governance data;
importing the share right governance sample data into the preset share right governance evaluation model to obtain a dimension sample score of at least one share right governance dimension corresponding to the share right governance sample data;
obtaining a capacity sample value of at least one share right management capacity which corresponds to the share right management dimensions of different dynamic combinations through dynamically combining the scores of the sample of each dimension;
and storing the scores of the dimension samples and the capacity sample values into the preset equity governance assessment model.
6. The equity governance assessment method of any one of claims 1-5, wherein said equity governance dimensions comprise: at least one of a ground plane dimension, a legality dimension, a rationality dimension, a stability dimension, a financing dimension, and a flexibility dimension.
7. The equity management assessment method according to any one of claims 1-5, wherein said equity management capabilities include at least one of risk-fighting capabilities, talent attraction capabilities, fund-financing capabilities, and developmental driving capabilities.
8. An equity management assessment apparatus, comprising:
the acquisition module is used for acquiring an input instruction of each right management data of a right management target and acquiring each right management data according to the input instruction;
the import module is used for importing the right management data into a preset right management evaluation model to obtain a dimension score of at least one right management dimension corresponding to the right management data;
the combination module is used for obtaining a capacity reference value of at least one right management capacity which corresponds to the right management dimensions of different dynamic combinations through dynamically combining the scores of the dimensions;
and the generation module is used for generating an individualized evaluation result of the equity management target according to each dimension score and each capacity reference value.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and (c) a second step of,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the steps of the equity management assessment method of any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, characterized in that the readable storage medium has stored thereon a program for implementing an evaluation method of right management, the program being executed by a processor to implement the steps of the evaluation method of right management according to any one of claims 1 to 7.
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| CN116383026B (en) * | 2023-06-05 | 2023-09-01 | 阿里巴巴（中国）有限公司 | Data processing method and server based on large model |
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