CN112862271A - Checking method, device, equipment and medium for monitoring effectiveness of stock right trading market - Google Patents
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Abstract
The application provides a checking method, a device, equipment and a medium for monitoring and managing effectiveness of a stock right trading market, wherein the method comprises the following steps: determining a corresponding target server based on the characteristic information of the supervision object, and establishing connection with the target server; after the target server is determined to be in a normal connection state, acquiring basic information, policy information, business data of the regional stock right market which operates at the current period and business data of a supervision object of an autonomous supervision measure at the target server; grading the autonomous supervision measures in multiple dimensions based on the basic information, the policy information and the service information to obtain the scores of the autonomous supervision measures in the multiple dimensions; calculating an effectiveness score of the autonomous supervision measure based on the scores of the multiple dimensions, and determining an effectiveness level of the autonomous supervision measure based on the effectiveness score; the effectiveness score and the effectiveness level are fed back to government regulatory bodies and execution objects of the autonomous regulatory measures. The method can effectively avoid risks and reduce loss.
Description
Technical Field
The application relates to the technical field of financial risk supervision, in particular to a checking method, device, equipment and medium for monitoring effectiveness of a stock right trading market.
Background
The regional equity trading market in china is a self-managed market that organizes and manages market activities under the understanding of market managers themselves, however, such self-disciplined regulation fails to prevent the risk of the regional equity trading market system. The traditional effectiveness of the autonomic supervision of the regional equity trading market is realized by few technologies, mainly based on a theoretical research method, and because of no practical verification, the research of the traditional theoretical method is difficult to convince the effectiveness check conclusion of the autonomic supervision.
Disclosure of Invention
The present application provides a method, an apparatus, a device and a medium for checking the regulatory validity of the stock right trading market in order to solve at least one of the above technical problems.
In a first aspect, an embodiment of the present application provides a method for checking effectiveness of market supervision of equity trading, including: determining a corresponding target server based on the characteristic information of the supervision object, and establishing connection with the target server; after the target server is determined to be in a normal connection state, acquiring basic information, policy information, business data of the regional stock right market which operates at the current period and business data of a supervision object of an autonomous supervision measure at the target server; grading the autonomous supervision measures in multiple dimensions based on the basic information, the policy information and the service information to obtain the scores of the autonomous supervision measures in the multiple dimensions; calculating an effectiveness score of the autonomous supervision measure based on the scores of the multiple dimensions, and determining an effectiveness level of the autonomous supervision measure based on the effectiveness score; the effectiveness score and the effectiveness level are fed back to government regulatory bodies and execution objects of the autonomous regulatory measures.
In one embodiment of the present application, the characteristic information of the supervisory object includes regional information and industry information of the supervisory object;
determining a corresponding target server based on the characteristic information of the supervision object, comprising: and determining a target server which is matched with the region information and the industry information of the supervision object in a plurality of preset servers based on the region information and the industry information of the supervision object.
In one embodiment of the present application, establishing a connection with a target server includes: and sending a connection request to the target server, and establishing connection with the target server after receiving a feedback message returned by the target server aiming at the connection request.
In one embodiment of the present application, sending a connection request to a target server includes: sending verification information and a connection request to a target server so that the target server can verify the verification information by the target server, and returning a feedback message aiming at the connection request after the verification is successful; wherein the verification information comprises at least one of: identity information of the user, identity information of the terminal, and IP information of the terminal.
In one embodiment of the present application, the basic information of the autonomic supervision measures includes: the type of the autonomous supervision measure, the time information of the autonomous supervision measure and the file of the autonomous supervision measure; the policy information comprises the prior supervision requirement and the supervision index corresponding to the supervision policy; the business data comprises transaction contract, transaction flow and registration information.
In one embodiment of the present application, the scores for the multiple dimensions include timeliness scores; based on the basic information, the policy information and the business information, the autonomous supervision measures are scored in multiple dimensions, and the method comprises the following steps: assigning the execution date of the autonomous supervision measures in the autonomous supervision measure time information, the times and the results of invalid requests of the autonomous supervision measures in the files of the autonomous supervision measures, and the times and the results of execution of the autonomous supervision measures in the files of the autonomous supervision measures respectively based on a preset project assigning rule; and taking the sum of the scores of all the items as the timeliness score of the autonomous supervision measure.
In one embodiment of the present application, the scores for the multiple dimensions include a stability score; based on the basic information, the policy information and the business information, the autonomous supervision measures are scored in multiple dimensions, and the method comprises the following steps: and respectively assigning basic information of a monitored object, service information of the monitored object, a monitoring index corresponding to the monitoring policy and a comparison parameter of the autonomous monitoring measure and the policy index based on a preset project assigning rule, and taking the sum of the project scores as the stability score of the autonomous monitoring measure.
In one embodiment of the present application, the scores for the multiple dimensions include trackability scores; based on the basic information, the policy information and the business information, the autonomous supervision measures are scored in multiple dimensions, and the method comprises the following steps: respectively assigning the basic information of the monitored object, the rectification information of the monitored object, the current service data of the execution object and the comparison parameters of the historical service data, which are aimed at by the autonomous supervision measures, based on a preset project assigning rule; and taking the sum of the scores of all the items as the traceability score of the self-discipline supervision measure.
In one embodiment of the present application, the scores of the plurality of dimensions comprise an authenticity score; based on the basic information, the policy information and the business information, the autonomous supervision measures are scored in multiple dimensions, and the method comprises the following steps: assigning basic information of the monitored object, service data of the monitored object, contract data of the monitored object, running water data of the monitored object, self-discipline monitoring measures of the monitored object and punishment measures of a government monitoring department based on a preset project assigning rule; and taking the sum of the scores of all the items as the authenticity score of the autonomous supervision measure.
In one embodiment of the present application, the scores for the multiple dimensions include executive scores; based on the basic information, the policy information and the business information, the autonomous supervision measures are scored in multiple dimensions, and the method comprises the following steps: assigning the date of executing the autonomous supervision measures by the execution object and the record of executing the autonomous supervision measures by the execution object based on a preset project assigning rule; and taking the sum of the scores of all the items as the executive score of the autonomous supervision measure.
In one embodiment of the present application, calculating an effectiveness score for an autonomic regulatory action based on scores for multiple dimensions comprises: and multiplying the score of each dimension by the corresponding weight to obtain the weight score of each dimension, and taking the sum of the weight scores of the plurality of dimensions as the effective score of the autonomous supervision measure.
In an embodiment of the present application, multiplying the score of each dimension by a corresponding weight to obtain a weight score of each dimension includes: sending a weight acquisition request to a target server, and receiving multi-dimensional weight information returned by the target server aiming at the weight acquisition request; and multiplying the score of each dimension by the corresponding weight returned by the target server to obtain the weight score of each dimension.
In an embodiment of the present application, multiplying the score of each dimension by a corresponding weight to obtain a weight score of each dimension includes: sending a weight acquisition request to a target server, and receiving multi-dimensional weight information returned by the target server aiming at the weight acquisition request; and multiplying the score of each dimension by the corresponding weight returned by the target server to obtain the weight score of each dimension.
In a second aspect, an embodiment of the present application provides a checking apparatus for monitoring effectiveness of a stock right trading market, where the checking apparatus includes an information obtaining module, a dimension scoring module, an effectiveness evaluating module, and a result feedback module. The information acquisition module is used for acquiring basic information, policy information, service data of the regional share right market which operates at the current period and service data of a monitoring object of the autonomous monitoring measure; the dimension grading module is used for grading the autonomous supervision measures in multiple dimensions based on the basic information, the policy information and the service information to obtain the scores of the autonomous supervision measures in the multiple dimensions; the effectiveness evaluation module is used for calculating effectiveness scores of the autonomous supervision measures based on the scores of the multiple dimensions and determining effectiveness levels of the autonomous supervision measures based on the effectiveness scores; and the result feedback module is used for feeding back the effectiveness score and the effectiveness grade to an execution object of a government regulatory department and an autonomous regulatory measure.
In one embodiment of the present application, the characteristic information of the supervisory object includes regional information and industry information of the supervisory object. The server selection module is used for determining a target server which is matched with the region information and the industry information of the supervision object in a plurality of preset servers based on the region information and the industry information of the supervision object.
In an embodiment of the application, the server selection module is configured to send a connection request to the target server, and establish a connection with the target server after receiving a feedback message returned by the target server for the connection request.
In an embodiment of the application, the server selection module is configured to send verification information and a connection request to the target server, so that the target server verifies the verification information by the target server, and returns a feedback message for the connection request after the verification is successful; wherein the verification information comprises at least one of: identity information of the user, identity information of the terminal, and IP information of the terminal.
The information acquisition module is used for acquiring basic information, policy information, business data of the regional stock right market which operates in the current period and business data of a supervision object at the target server after determining that the target server is in a normal connection state.
The dimension grading module is used for grading the autonomous supervision measures in multiple dimensions based on the basic information, the policy information and the service information to obtain the scores of the autonomous supervision measures in the multiple dimensions.
The effectiveness evaluation module is used for calculating effectiveness scores of the autonomous supervision measures based on the scores of the multiple dimensions and determining effectiveness levels of the autonomous supervision measures based on the effectiveness scores.
And the result feedback module is used for feeding back the effectiveness score and the effectiveness grade to an execution object of a government regulatory department and an autonomous regulatory measure.
In one embodiment of the present application, the basic information of the autonomous supervision measure includes a supervision object for which the autonomous supervision measure is directed, a type of the supervision object, a type of the autonomous supervision measure, autonomous supervision measure time information, and a file of the autonomous supervision measure. The policy information comprises the existing supervision requirement and the supervision index corresponding to the supervision policy. The business data comprises transaction contract, transaction flow and registration information.
In one embodiment of the present application, the scores for the multiple dimensions include timeliness scores. The dimension scoring module is specifically configured to: assigning the execution date of the autonomous supervision measures in the autonomous supervision measure time information, the times and the results of invalid requests of the supervision measures in the files of the autonomous supervision measures, and the times and the results of execution of the supervision measures in the files of the autonomous supervision measures respectively based on a preset project assigning rule; and taking the sum of the scores of all the items as the timeliness score of the autonomous supervision measure.
In one embodiment of the present application, the scores for the multiple dimensions include a stability score. The dimension scoring module is specifically configured to: and respectively assigning basic information of a monitored object, service information of the monitored object, a monitoring index corresponding to the monitoring policy and a comparison parameter of the autonomous monitoring measure and the policy index based on a preset project assigning rule, and taking the sum of the project scores as the stability score of the autonomous monitoring measure.
In one embodiment of the present application, the scores for the multiple dimensions include trackability scores. The dimension scoring module is specifically configured to: respectively assigning the basic information of the monitored object, the rectification information of the monitored object, the current service data of the execution object and the comparison parameters of the historical service data, which are aimed at by the autonomous supervision measures, based on a preset project assigning rule; and taking the sum of the scores of all the items as the traceability score of the self-discipline supervision measure.
In one embodiment of the present application, the scores of the plurality of dimensions comprise an authenticity score. The dimension scoring module is specifically configured to: assigning basic information of the monitored object, service data of the monitored object, contract data of the monitored object, running water data of the monitored object, self-discipline monitoring measures of the monitored object and punishment measures of a government monitoring department based on a preset project assigning rule; and taking the sum of the scores of all the items as the authenticity score of the autonomous supervision measure.
In one embodiment of the present application, the scores for the multiple dimensions include executive scores. The effectiveness evaluation module is specifically configured to: assigning the date of executing the autonomous supervision measures by the execution object and the record of executing the autonomous supervision measures by the execution object based on a preset project assigning rule; and taking the sum of the scores of all the items as the executive score of the autonomous supervision measure.
In one embodiment of the present application, the dimension scoring mold blocks are used to: and multiplying the score of each dimension by the corresponding weight to obtain the weight score of each dimension, and taking the sum of the weight scores of the plurality of dimensions as the effective score of the autonomous supervision measure.
In a third aspect, an embodiment of the present application provides an electronic device, where the electronic device includes a memory and a processor, and the processor is communicatively connected to the memory; the memory stores a computer program, and the computer program is executed by the processor to realize the checking method for the monitoring and effectiveness of the stock right trading market.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where a computer program is stored on the storage medium, and when the computer program is executed by a processor, the method for checking the effectiveness of the market supervision of the equity trading described above is implemented.
The technical scheme provided by the embodiment of the application at least has the following beneficial effects:
the checking method and the checking device for the monitoring effectiveness of the stock right trading market can assist a government monitoring department to judge the effectiveness of the autonomous monitoring measure quickly and accurately, and help the monitoring department and decision-making personnel to take corresponding measures as soon as possible so as to avoid risks and reduce loss. Moreover, the method and the device greatly reduce the time spent by the supervisors in searching and evaluating, the evaluation is more objective, and the chance of human errors is reduced.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic flow chart illustrating a method for checking the regulatory effectiveness of the stock right trading market according to the present application;
FIG. 2 is a block diagram of an apparatus for checking the regulatory effectiveness of the equity trading market in accordance with the present application;
fig. 3 is a block diagram of an electronic device provided in the present application.
Detailed Description
Reference will now be made in detail to the present application, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar parts or parts having the same or similar functions throughout. In addition, if a detailed description of the known art is not necessary for illustrating the features of the present application, it is omitted. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present application.
It will be understood by those within the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. As used herein, the term "and/or" includes all or any element and all combinations of one or more of the associated listed items.
The checking method for the monitoring effectiveness of the stock right trading market provided by the embodiment of the application can be applied to the regional stock right trading market to check the effectiveness of the autonomic monitoring risk 2, and the nouns related to the embodiment of the application are explained simply below:
regional equity trading markets: the system is a private recruitment market for providing equity shares, bond transfer and financing service for enterprises in a specific area, is an important component of the multilevel capital market in China, and is also an essential component in the multilevel capital market construction in China. The method has positive effects on promoting equity trading and financing of enterprises, particularly small and medium-sized micro enterprises, encouraging scientific and technological innovation, activating folk capital and strengthening support for economic weak links of entities.
Autonomous supervision: the regional equity trading market should focus on autonomous regulation in combination with local government regulation. Since the regional equity trading market belongs to an emerging market, various trading innovations should be encouraged, and the self-discipline organizations such as the equity exchange should be closer to the stock market to better understand how the market operates, so that the characteristics of the market are fully considered to adopt appropriate supervision activities. Meanwhile, as the regional equity trading market is in a development stage, the trading rules can be adjusted along with the market condition, and the self-discipline organization can conveniently make proper adjustment on self-discipline supervision measures according to the market condition change.
Finance-like: the method is characterized in that when cash transaction is carried out between a retailer and a consumer, payment of upstream supplier goods is delayed, so that a large amount of floating cash is reserved on the account of the retailer for a long time, and a fund internal circulation system of 'scale expansion, account floating cash is reserved due to sales scale increase, account floating cash is occupied by supplier funds for scale expansion or other purposes, and further scale expansion and increase of retail channel value lead to more account floating cash' is formed.
Fig. 1 is a flowchart of a checking method for regulatory validity of an equity trading market provided in an embodiment of the present application, where the checking method for regulatory validity of an equity trading market includes the following steps:
s110: and determining a corresponding target server based on the characteristic information of the supervision object, and establishing connection with the target server.
In one embodiment of the present application, the characteristic information of the supervisory object includes regional information and industry information of the supervisory object. Determining a corresponding target server based on the characteristic information of the supervision object, comprising: and determining a target server which is matched with the region information and the industry information of the supervision object in a plurality of preset servers based on the region information and the industry information of the supervision object.
In one embodiment of the present application, establishing a connection with a target server includes: and sending a connection request to the target server, and establishing connection with the target server after receiving a feedback message returned by the target server aiming at the connection request.
In one embodiment of the present application, sending a connection request to a target server includes: sending verification information and a connection request to a target server so that the target server can verify the verification information by the target server, and returning a feedback message aiming at the connection request after the verification is successful; wherein the verification information comprises at least one of: identity information of the user, identity information of the terminal, and IP information of the terminal.
S120: after the target server is determined to be in a normal connection state, basic information, policy information, business data of the regional stock right market which operates in the current period and business data of a supervision object of the autonomous supervision measure are obtained at the target server.
In one embodiment of the present application, the basic information of the autonomous supervision measure includes a supervision object for which the autonomous supervision measure is directed, a type of the supervision object, a type of the autonomous supervision measure, autonomous supervision measure time information, and a file of the autonomous supervision measure.
In one embodiment of the present application, the policy information includes the existing regulatory requirements, and the regulatory indicators corresponding to the regulatory policies.
In one embodiment of the present application, the business data includes transaction contract, transaction running and listing record information.
S130: and grading the autonomous supervision measures in multiple dimensions based on the basic information, the policy information and the service information to obtain the scores of the autonomous supervision measures in the multiple dimensions.
The multiple dimensions can comprise a timeliness dimension, a stability dimension, a traceability dimension, an authenticity dimension and an executive dimension, and the executive scores of the autonomous supervision measures are calculated respectively.
In one embodiment of the present application, the scores for the multiple dimensions include timeliness scores. Based on the basic information, the policy information and the business information, the autonomous supervision measures are scored in multiple dimensions, and the method comprises the following steps: assigning the execution date of the autonomous supervision measures in the autonomous supervision measure time information, the times and the results of invalid requests of the autonomous supervision measures in the files of the autonomous supervision measures, and the times and the results of execution of the autonomous supervision measures in the files of the autonomous supervision measures respectively based on a preset project assigning rule; and taking the sum of the scores of all the items as the timeliness score of the autonomous supervision measure.
Alternatively, an assigning table for the above items may be stored in advance in the database, in which a value of each item is divided into a plurality of parameter ranges, and each numerical range corresponds to one score. When a project is assigned, the score corresponding to the parameter range to which the parameter of the project belongs is used as the score of the project.
In one embodiment of the present application, the scores for the multiple dimensions include a stability score. Based on the basic information, the policy information and the business information, the autonomous supervision measures are scored in multiple dimensions, and the method comprises the following steps: and respectively assigning basic information of a monitored object, service information of the monitored object, a monitoring index corresponding to the monitoring policy and a comparison parameter of the autonomous monitoring measure and the policy index based on a preset project assigning rule, and taking the sum of the project scores as the stability score of the autonomous monitoring measure.
Alternatively, an assigning table for the above items may be stored in advance in the database, in which a value of each item is divided into a plurality of parameter ranges, and each numerical range corresponds to one score. When a project is assigned, the score corresponding to the parameter range to which the parameter of the project belongs is used as the score of the project.
In one embodiment of the present application, the scores for the multiple dimensions include trackability scores. Based on the basic information, the policy information and the business information, the autonomous supervision measures are scored in multiple dimensions, and the method comprises the following steps: respectively assigning the basic information of the monitored object, the rectification information of the monitored object, the current service data of the execution object and the comparison parameters of the historical service data, which are aimed at by the autonomous supervision measures, based on a preset project assigning rule; and taking the sum of the scores of all the items as the traceability score of the self-discipline supervision measure.
Alternatively, an assigning table for the above items may be stored in advance in the database, in which a value of each item is divided into a plurality of parameter ranges, and each numerical range corresponds to one score. When a project is assigned, the score corresponding to the parameter range to which the parameter of the project belongs is used as the score of the project.
In one embodiment of the present application, the scores of the plurality of dimensions comprise an authenticity score. Based on the basic information, the policy information and the business information, the autonomous supervision measures are scored in multiple dimensions, and the method comprises the following steps: assigning basic information of the monitored object, service data of the monitored object, contract data of the monitored object, running water data of the monitored object, self-discipline monitoring measures of the monitored object and punishment measures of a government monitoring department based on a preset project assigning rule; and taking the sum of the scores of all the items as the authenticity score of the autonomous supervision measure.
Alternatively, an assigning table for the above items may be stored in advance in the database, in which a value of each item is divided into a plurality of parameter ranges, and each numerical range corresponds to one score. When a project is assigned, the score corresponding to the parameter range to which the parameter of the project belongs is used as the score of the project.
In one embodiment of the present application, the scores for the multiple dimensions include executive scores. Based on the basic information, the policy information and the business information, the autonomous supervision measures are scored in multiple dimensions, and the method comprises the following steps: assigning the date of executing the autonomous supervision measures by the execution object and the record of executing the autonomous supervision measures by the execution object based on a preset project assigning rule; and taking the sum of the scores of all the items as the executive score of the autonomous supervision measure.
Alternatively, an assigning table for the above items may be stored in advance in the database, in which a value of each item is divided into a plurality of parameter ranges, and each numerical range corresponds to one score. When a project is assigned, the score corresponding to the parameter range to which the parameter of the project belongs is used as the score of the project.
S140: an effectiveness score of the autonomic regulatory measure is calculated based on the scores of the multiple dimensions, and an effectiveness level of the autonomic regulatory measure is determined based on the effectiveness score.
In one embodiment of the present application, calculating an effectiveness score for an autonomic regulatory action based on scores for multiple dimensions comprises: and multiplying the score of each dimension by the corresponding weight to obtain the weight score of each dimension, and taking the sum of the weight scores of the plurality of dimensions as the effective score of the autonomous supervision measure.
S150: the effectiveness score and the effectiveness level are fed back to government regulatory bodies and execution objects of the autonomous regulatory measures.
Optionally, a mailbox system may be invoked to feed back the information of the effectiveness score and the effectiveness level of the autonomic regulatory measures to the government regulatory department and the execution objects of the autonomic regulatory measures by means of mails. It is understood that other methods (e.g., facsimile) may be used to feed back the information of the effectiveness score and the effectiveness level, and will not be described herein.
The checking method for the monitoring effectiveness of the stock right trading market can assist a government monitoring department to judge the effectiveness of the self-discipline monitoring measure quickly and accurately, and help the monitoring department and decision-making personnel to take corresponding measures as soon as possible so as to avoid risks and reduce loss. Moreover, the method greatly reduces the time spent by the supervisors in searching and evaluating, the evaluation is more objective, and the chance of human error is reduced.
Based on the same inventive concept, the embodiment of the present application further provides an apparatus 200 for checking the effectiveness of the equity trading market supervision, as shown in fig. 2, the apparatus 200 for checking the effectiveness of the equity trading market supervision includes a server selection module 210, an information acquisition module 220, a dimension scoring module 230, an effectiveness evaluation module 240, and a result feedback module 250.
The server selection module 210 is configured to determine a corresponding target server based on the characteristic information of the supervision object, and establish a connection with the target server.
In one embodiment of the present application, the characteristic information of the supervisory object includes regional information and industry information of the supervisory object. The server selection module 210 is configured to determine, based on the region information and the industry information of the monitored object, a target server that is desired to be matched with the region information and the industry information of the monitored object among a plurality of preset servers.
In an embodiment of the present application, the server selection module 210 is configured to send a connection request to the target server, and establish a connection with the target server after receiving a feedback message returned by the target server for the connection request.
In an embodiment of the present application, the server selection module 210 is configured to send verification information and a connection request to a target server, so that the target server verifies the verification information by using the target server, and after the verification is successful, a feedback message is returned for the connection request; wherein the verification information comprises at least one of: identity information of the user, identity information of the terminal, and IP information of the terminal.
The information obtaining module 220 is configured to obtain, at the target server, basic information of an autonomous regulatory measure, policy information, service data of a regional equity market that operates at the current time, and service data of a regulatory object after determining that the target server is in a normal connection state.
The dimension scoring module 230 is configured to score the autonomous policing measure in multiple dimensions based on the basic information, the policy information, and the service information, so as to obtain scores of the autonomous policing measure in multiple dimensions.
The effectiveness evaluation module 240 is configured to calculate an effectiveness score of the autonomous regulatory action based on the scores of the plurality of dimensions, and determine an effectiveness level of the autonomous regulatory action based on the effectiveness score.
The result feedback module 250 is used to feed back the effectiveness score and the effectiveness level to the government regulatory body and the execution object of the autonomic regulatory action.
In one embodiment of the present application, the basic information of the autonomous supervision measure includes a supervision object for which the autonomous supervision measure is directed, a type of the supervision object, a type of the autonomous supervision measure, autonomous supervision measure time information, and a file of the autonomous supervision measure. The policy information comprises the existing supervision requirement and the supervision index corresponding to the supervision policy. The business data comprises transaction contract, transaction flow and registration information.
In one embodiment of the present application, the scores for the multiple dimensions include timeliness scores. The dimension scoring module 230 is specifically configured to: assigning the execution date of the autonomous supervision measures in the autonomous supervision measure time information, the times and the results of invalid requests of the supervision measures in the files of the autonomous supervision measures, and the times and the results of execution of the supervision measures in the files of the autonomous supervision measures respectively based on a preset project assigning rule; and taking the sum of the scores of all the items as the timeliness score of the autonomous supervision measure.
In one embodiment of the present application, the scores for the multiple dimensions include a stability score. The dimension scoring module 230 is specifically configured to: and respectively assigning basic information of a monitored object, service information of the monitored object, a monitoring index corresponding to the monitoring policy and a comparison parameter of the autonomous monitoring measure and the policy index based on a preset project assigning rule, and taking the sum of the project scores as the stability score of the autonomous monitoring measure.
In one embodiment of the present application, the scores for the multiple dimensions include trackability scores. The dimension scoring module 230 is specifically configured to: respectively assigning the basic information of the monitored object, the rectification information of the monitored object, the current service data of the execution object and the comparison parameters of the historical service data, which are aimed at by the autonomous supervision measures, based on a preset project assigning rule; and taking the sum of the scores of all the items as the traceability score of the self-discipline supervision measure.
In one embodiment of the present application, the scores of the plurality of dimensions comprise an authenticity score. The dimension scoring module 230 is specifically configured to: assigning basic information of the monitored object, service data of the monitored object, contract data of the monitored object, running water data of the monitored object, self-discipline monitoring measures of the monitored object and punishment measures of a government monitoring department based on a preset project assigning rule; and taking the sum of the scores of all the items as the authenticity score of the autonomous supervision measure.
In one embodiment of the present application, the scores for the multiple dimensions include executive scores. The effectiveness evaluation module 240 is specifically configured to: assigning the date of executing the autonomous supervision measures by the execution object and the record of executing the autonomous supervision measures by the execution object based on a preset project assigning rule; and taking the sum of the scores of all the items as the executive score of the autonomous supervision measure.
In one embodiment of the present application, the dimension scoring mold blocks are used to: and multiplying the score of each dimension by the corresponding weight to obtain the weight score of each dimension, and taking the sum of the weight scores of the plurality of dimensions as the effective score of the autonomous supervision measure.
The checking apparatus 200 for the regulatory validity of the equity trading market provided in the embodiment of the present application has the same inventive concept as the aforementioned embodiments, and the content not shown in detail in the checking apparatus 200 for the regulatory validity of the equity trading market can refer to the aforementioned embodiments, and is not described again here.
The checking device for monitoring the effectiveness of the stock right trading market can assist a government monitoring department to quickly and accurately judge the effectiveness of the autonomous monitoring measures, and help the monitoring department and decision-making personnel to take corresponding measures as soon as possible so as to avoid risks and reduce loss. Moreover, the device greatly reduces the time spent by the supervisory personnel in searching and evaluating, the evaluation is more objective, and the chance of human error is reduced.
Based on the same inventive concept, the embodiment of the present application further provides an electronic device 300, as shown in fig. 3, the electronic device 300 includes a memory 303 and a processor 301, and the processor 301 is communicatively connected to the memory 303.
The memory 303 stores a computer program, and when the computer program is executed by the processor 301, the method for checking the effectiveness of the market supervision of the equity trading provided by the above embodiments of the present application is implemented.
Alternatively, the processor 301 and the memory 303 may be connected by a bus 302. Optionally, the electronic device 300 may further include a transceiver 304. It should be noted that the transceiver 304 is not limited to one in practical applications, and the structure of the electronic device 300 is not limited to the embodiment of the present application.
The processor 301 is applied to the embodiment of the present application, and is configured to implement the method shown in the above method embodiment. The transceiver 304 may include a receiver and a transmitter, and the transceiver 304 is applied in the embodiment of the present application and is used for implementing the function of the electronic device 300 of the embodiment of the present application to communicate with other devices when executed.
The Processor 301 may be a CPU (Central Processing Unit), a general-purpose Processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other Programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 301 may also be a combination of computing functions, e.g., comprising one or more microprocessors, a combination of a DSP and a microprocessor, or the like.
The Memory 303 may be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), a magnetic Disc storage medium or other magnetic storage device, or any other medium that can be used to carry or store a desired computer program in the form of instructions or data structures and that can be accessed by a computer, but is not limited to these.
The electronic device 300 provided in the embodiment of the present application has the same inventive concept as the embodiments described above, and the details that are not shown in the electronic device 300 may refer to the embodiments described above, and are not described herein again.
Based on the same inventive concept, an embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the storage medium, and when the computer program is executed by a processor, the checking method for the monitoring effectiveness of the equity trading market provided by the above embodiment of the present application is implemented.
The computer-readable storage media provided herein include, but are not limited to, any type of disk including floppy disks, hard disks, optical disks, CD-ROMs, and magneto-optical disks, ROMs, RAMs, EPROMs (Erasable Programmable Read-Only memories), EEPROMs, flash Memory, magnetic cards, or optical cards. That is, a readable medium includes any medium that stores or transmits information in a form readable by a device (e.g., a computer).
The computer-readable storage medium provided in the embodiments of the present application has the same inventive concept as the embodiments described above, and contents not shown in detail in the computer-readable storage medium may refer to the embodiments described above, and are not described herein again.
Those of skill in the art will appreciate that the various operations, methods, steps in the processes, acts, or solutions discussed in this application can be interchanged, modified, combined, or eliminated. Further, other steps, measures, or schemes in various operations, methods, or flows that have been discussed in this application can be alternated, altered, rearranged, broken down, combined, or deleted. Further, steps, measures, schemes in the prior art having various operations, methods, procedures disclosed in the present application may also be alternated, modified, rearranged, decomposed, combined, or deleted.
In the description of the present application, it is to be understood that the terms "first", "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless otherwise specified.
It should be understood that, although the respective steps in the flowcharts of the drawings are sequentially shown based on the indication of the arrow, the steps are not necessarily sequentially performed based on the order indicated by the arrow. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The foregoing is only a partial embodiment of the present application, and it should be noted that, for those skilled in the art, several modifications and decorations can be made without departing from the principle of the present application, and these modifications and decorations should also be regarded as the protection scope of the present application.
Claims (15)
1. A method for checking the effectiveness of market supervision of equity trading, comprising:
determining a corresponding target server based on the characteristic information of the monitored object, and establishing connection with the target server;
after the target server is determined to be in a normal connection state, acquiring basic information, policy information, business data of local share right market operation and business data of a supervision object from the target server;
based on the basic information, the policy information and the service information, grading the autonomous supervision measures in multiple dimensions to obtain the scores of the autonomous supervision measures in the multiple dimensions;
calculating an effectiveness score for the autonomous regulatory action based on scores for a plurality of the dimensions, and determining an effectiveness level for the autonomous regulatory action based on the effectiveness score;
feeding back the effectiveness score and the effectiveness level to government regulatory authorities and objects of execution of the autonomous regulatory action.
2. The checking method according to claim 1, wherein the characteristic information of the supervisory object includes regional information and industry information of the supervisory object;
the determining of the corresponding target server based on the characteristic information of the supervision object comprises the following steps: and determining a target server which is matched with the region information and the industry information of the supervision object in a plurality of preset servers based on the region information and the industry information of the supervision object.
3. The method of claim 1, wherein the establishing a connection with the target server comprises:
and sending a connection request to the target server, and establishing connection with the target server after receiving a feedback message returned by the target server aiming at the connection request.
4. The method of claim 1, wherein sending a connection request to the target server comprises:
sending verification information and a connection request to the target server so that the target server can verify the verification information by the target server, and returning a feedback message aiming at the connection request after the verification is successful;
wherein the verification information comprises at least one of: identity information of the user, identity information of the terminal, and IP information of the terminal.
5. The verification method according to claim 1,
the basic information of the autonomous supervision measures comprises: the type of the autonomous supervision measure, the time information of the autonomous supervision measure and the file of the autonomous supervision measure;
the policy information comprises the existing supervision requirements and supervision indexes corresponding to the supervision policies;
the business data comprises transaction contract, transaction flow and registration information.
6. The method of checking according to claim 5, characterized in that the scores of a plurality of said dimensions comprise a timeliness score; the scoring the autonomic regulatory measures in multiple dimensions based on the basic information, the policy information, and the business information includes:
assigning the execution date of the autonomous supervision measures in the autonomous supervision measure time information, the times and the results of invalid requests of the supervision measures in the files of the autonomous supervision measures, and the times and the results of execution of the supervision measures in the files of the autonomous supervision measures respectively based on preset project assigning rules; and taking the sum of the scores of all the items as the timeliness score of the autonomous supervision measure.
7. The method of checking according to claim 5, characterized in that the scores of a plurality of said dimensions comprise a stability score; the scoring the autonomic regulatory measures in multiple dimensions based on the basic information, the policy information, and the business information includes:
and assigning basic information of a monitored object, service information of the monitored object, a monitoring index corresponding to the monitoring policy and comparison parameters of the autonomous monitoring measure and the policy index based on preset project assigning rules, wherein the sum of the scores of all the projects is used as the stability score of the autonomous monitoring measure.
8. The method of claim 5, wherein the scores for a plurality of the dimensions comprise traceability scores; the scoring the autonomic regulatory measures in multiple dimensions based on the basic information, the policy information, and the business information includes:
respectively assigning the basic information of the monitored object, the rectification information of the monitored object, the current service data of the execution object and the comparison parameters of the historical service data to which the autonomous supervision measures are directed based on a preset project assigning rule; and taking the sum of the scores of all the projects as the traceability score of the self-discipline supervision measure.
9. The verification method of claim 5, wherein the scores for a plurality of the dimensions comprise an authenticity score; the scoring the autonomic regulatory measures in multiple dimensions based on the basic information, the policy information, and the business information includes:
assigning the basic information of the monitored object, the service data of the monitored object, the contract data of the monitored object, the running water data of the monitored object, the autonomous monitoring measures of the monitored object and the penalty measures of the government monitoring department based on a preset project assigning rule; and taking the sum of the scores of all the projects as the authenticity score of the autonomous supervision measure.
10. The method of checking according to claim 5, characterized in that the scores of a plurality of said dimensions comprise executive scores; the scoring the autonomic regulatory measures in multiple dimensions based on the basic information, the policy information, and the business information includes:
assigning a score to the date of the execution object executing the autonomous supervision measures and the record of the execution object executing the autonomous supervision measures based on a preset project assigning rule; and taking the sum of the scores of all the projects as the executive score of the autonomous supervision measure.
11. The method of checking of claim 1, wherein the calculating of the effectiveness score of the autonomous regulatory action based on the scores of the plurality of dimensions comprises:
and multiplying the score of each dimension by the corresponding weight to obtain the weight score of each dimension, and taking the sum of the weight scores of the plurality of dimensions as the effectiveness score of the autonomous supervision measure.
12. The method for checking according to claim 11, wherein said multiplying the score of each dimension by the corresponding weight to obtain the weight score of each dimension comprises:
sending a weight acquisition request to the target server, and receiving weight information of multiple dimensions returned by the target server aiming at the weight acquisition request;
and multiplying the score of each dimension by the corresponding weight returned by the target server to obtain the weight score of each dimension.
13. An apparatus for checking the effectiveness of market regulation of equity trading, comprising:
the information acquisition module is used for acquiring basic information, policy information, service data of the regional share right market which operates at the current period and service data of a monitoring object of the autonomous monitoring measure;
the dimension grading module is used for grading the autonomous supervision measures in multiple dimensions based on the basic information, the policy information and the service information to obtain scores of the autonomous supervision measures in the multiple dimensions;
the effectiveness evaluation module is used for calculating effectiveness scores of the autonomous supervision measures based on the scores of the dimensions and determining effectiveness levels of the autonomous supervision measures based on the effectiveness scores;
and the result feedback module is used for feeding back the effectiveness score and the effectiveness grade to a government regulatory department and an execution object of the autonomous regulatory measure.
14. An electronic device comprising a memory and a processor, the processor communicatively coupled to the memory;
the memory stores a computer program which, when executed by the processor, implements the checking method of equity trading market regulatory validity of any of claims 1-12.
15. A computer-readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when being executed by a processor, implements the checking method of the effectiveness of the market administration of equity trading according to any one of claims 1 to 12.
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| CN113743749A (en) * | 2021-08-20 | 2021-12-03 | 泰康保险集团股份有限公司 | Medical institution inspection method and device and electronic equipment |
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| CN113743749A (en) * | 2021-08-20 | 2021-12-03 | 泰康保险集团股份有限公司 | Medical institution inspection method and device and electronic equipment |
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