CN112750031A - Multidimensional risk verification device applied to financing guarantee mechanism - Google Patents
Multidimensional risk verification device applied to financing guarantee mechanism Download PDFInfo
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Abstract
The invention discloses a multi-dimensional risk verification device applied to a financing guarantee organization, and belongs to the technical field of data monitoring. The device comprises a data acquisition module, a risk verification dimension setting module, a risk verification module and a risk verification parameter setting module; the data acquisition module acquires data information of a financing guarantee organization, the risk verification dimension setting module sets five risk dimension sub-modules of policy compliance risk, operation business risk, risk slow release, capital management and illegal funding risk, the risk verification module sets a plurality of verification modes for the risk dimension, and the risk verification parameter setting module sets parameter rule values in the verification modes; and the risk verification module verifies the risk probability of the financing guarantee mechanism according to the acquired data acquisition parameters. The device solves the problem that local financial supervision departments are difficult to verify the risk condition of the financing guarantee institution, can perform comprehensive multi-dimensional risk verification on the financing guarantee institution, is convenient to use, and obtains data objectively and comprehensively.
Description
Technical Field
The invention relates to the technical field of financial institution data monitoring, in particular to a multi-dimensional risk verification device applied to a financing guarantee institution.
Background
The financing security company refers to a company with limited responsibility and a company with limited shares which are established by law and operate financing security business. At present, more and more financing guarantee institutions of all parts exist, and financial supervision departments of all parts need to monitor the risk condition of each financing guarantee institution in the district in real time. At present, financial supervision departments at various places mainly use traditional financial supervision technologies such as manual complaint reporting, clue sharing of external units, manual data analysis, telephone investigation of workers, field inspection and the like, and have the problems of large workload, difficulty in completion and incapability of systematically and comprehensively acquiring risk condition information of financing guarantee organizations.
In the face of local financial institutions with fast development, large change and wide public involvement, how to accurately and timely find out the risk condition of local financing guarantee institutions and how to monitor and verify the risk condition of each financing guarantee institution from multiple dimensions becomes the key point for solving local financial supervision.
Disclosure of Invention
The invention provides a multi-dimensional risk verification device applied to financing guarantee organizations for ensuring that local financial supervision departments monitor the risk condition of each financing guarantee organization in the district in real time, and aims to solve the problems of large workload, difficulty in completion and incapability of systematically and comprehensively verifying the risk condition information of each financing guarantee organization caused by the traditional financial supervision mode.
The invention provides a multi-dimensional risk verification device applied to a financing guarantee organization.
The data acquisition module is used for acquiring data information of the financing guarantee organization, including basic enterprise information, operation data, financial data, functional department data, social security data and legal risk data of the organization. The data acquisition module is internally provided with a data crawling module, an external data reading interface and a data filtering and classifying and counting module. And the data acquisition module statistically acquires parameter data required by each verification mode in the risk verification module from the acquired data information of the financing guarantee organization and outputs a statistical result.
The risk verification dimension setting module comprises five risk dimension submodules which are a policy compliance risk dimension module, an operation business risk dimension module, a risk slow-release dimension module, a capital management dimension module and an illegal investment risk dimension module.
And the risk verification module is internally provided with a verification mode of each risk dimension submodule. Wherein, the verification mode set for the policy compliance risk dimension module comprises the following steps: net asset magnification, the same insured maximum financing guarantee responsibility balance, the single insured maximum bond issue financing guarantee responsibility balance, the reserve amount, the unexpired responsibility reserve extraction amount, the guarantee indemnity reserve extraction amount; the verification mode set for the operation business risk dimension module comprises the following steps of obtaining parameters: the first ten customer concentration ratios, guarantee compensation rates, compensation recovery rates, and guarantee loss rates; the verification mode set for the risk slow-release dimension module comprises the following steps of obtaining parameters: guarantee equipment allocation coverage, risk reserve extraction rate, and coverage of the collateral; the verification mode set for the capital management dimension module comprises the following steps of obtaining parameters: fluidity ratio, asset liability rate, capital abundance rate, short-term liability paying capacity, and asset proportions at each level; the verification mode set for the illegal fundamentation risk dimension module is to search whether illegal fundamentation behaviors exist or not.
And the risk verification parameter setting module periodically updates and sets the parameter rule values of all verification modes in the risk verification module.
When the device is used for risk verification of a financing guarantee mechanism, the data acquisition module acquires data information of the financing guarantee mechanism and outputs a statistical result; the risk verification parameter setting module sets parameter rule values of all verification modes in the risk verification module; selecting a risk dimension submodule and a verification mode thereof from a risk verification dimension setting module and a risk verification module to generate a multi-dimensional risk verification table; the risk verification module searches parameter data from the statistical result of the data acquisition module and fills the parameter data into a multi-dimensional risk verification table, calculates the risk probability value under each verification mode by combining the parameter rule value, integrates the risk probability values of all verification modes under the same risk dimension, and outputs the risk probability value under each risk dimension submodule.
Compared with the prior art, the multi-dimensional risk verification device applied to the financing guarantee institution, provided by the invention, has the advantages and positive effects that: (1) the device of the invention sets comprehensive risk assessment dimensions, meets the financing guarantee industry specifications issued by the country and all the places, realizes the verification of the risk of the financing guarantee mechanism from a plurality of dimensions, increases the basis for the risk confirmation of the financing guarantee mechanism, provides an effective solving tool for the risk verification of the financing guarantee mechanism by the local financial supervision department, and solves the problem that the local financial supervision department is difficult to verify the risk condition of the financing guarantee mechanism. (2) The device acquires the data information of the financing guarantee mechanism through multiple channels to acquire analysis data as much as possible, the risk verification parameter setting module acquires the risk probability judgment rule value from the data of the existing scheme establishment mechanism to provide objective judgment data basis for mechanism risk monitoring, and the risk verification module can intelligently monitor the risk of the financing guarantee mechanism. The device is convenient to use, objective and comprehensive in data acquisition, and can effectively verify the risk of the financing guarantee institution.
Drawings
FIG. 1 is a schematic diagram of the multi-dimensional risk verification device of the present invention applied to a financing security organization;
FIG. 2 is a diagram of the results of a risk analysis using the apparatus of the present invention for performing multidimensional verification of a financing underwriting organization.
Detailed Description
The technical scheme of the invention is explained in detail in a mode of specific embodiments by combining the attached drawings.
As shown in fig. 1, the present invention provides a multidimensional risk verification device applied to a financing security organization, comprising: the system comprises a data acquisition module 1, a risk verification dimension setting module 2, a risk verification module 3 and a risk verification parameter setting module 4.
The data information of the financing guarantee mechanism is collected through the data collection module 1, and a data basis is provided for further risk verification. The collected data information of the financing underwriting organization includes: basic business data of an organization, business detail data, monthly, quarterly and annual operation condition data and financial condition data, guarantee contract data, information of each functional department, social guarantee data, litigation information, public security filing information, public opinion data and the like related to a financing guarantee organization. The data acquisition module 1 is provided with a data crawling module 11, an external data reading interface 12 and a data filtering and classification statistical module 13. Data of the financing guarantee agency can be crawled from the network through the data crawling module 11 and stored locally. The data information file stored in the local financing security organization can be read through the external data read-in interface 12. Through the data filtering and classified statistic module 13, the crawled internet data related to the financing guarantee organization can be cleaned and filtered, the important information is marked, and the local service data, operation information data and financial information data of the financing guarantee organization are classified, counted and analyzed to obtain the key index information of the financing guarantee organization, wherein the key index information at least comprises the parameters in the following table 1. The data acquisition module 1 is arranged to crawl data information of the financing guarantee organization to be monitored from the network at regular time, and when new data is updated, the risk verification module 3 can be called to calculate the risk index of the financing guarantee organization.
The risk of calculating the dimensionality of the financing guarantee mechanism is set through the risk verification dimensionality setting module 2. According to the risk verification process of the local financial supervision department on the financing guarantee institution, the system is comprehensively provided with five dimensions, and the risk of the financing guarantee institution is determined from the multiple dimensions. The risk verification dimension setting module 2 comprises the following risk dimension sub-modules: a policy compliance risk dimension module 21, an operation business risk dimension module 22, a risk slow-release dimension module 23, a capital management dimension module 24, and an illegal funding risk dimension module 25. For the financing guarantee agency which carries out risk verification for the first time, five sub-modules are loaded in the risk verification dimension setting module 2. And if the risk index of a certain dimension of the financing guarantee institution needs to be independently updated, directly selecting a corresponding sub-module. For the verification of the risk in each sub-module, the risk verification module 3 is invoked to calculate the risk index in the corresponding module.
The risk verification module 3 sets a verification mode for each risk dimension submodule, and the parameter judgment rule value related to the verification mode is regularly updated and set through the parameter setting module 4. And the risk verification module 3 calculates risk indexes of the financing guarantee institution in all dimensions according to the selected risk dimension sub-module and the verification mode, and displays the results to the user. The verification mode for each risk dimension sub-module in the risk verification module 3 is shown in table 1.
Table 1 verification of each risk dimension sub-module
As shown in table 1, the verification modes under the policy compliance risk dimension module 21 include whether net asset amplification is compliant, whether the maximum financing guarantee responsibility balance of the same insured person is compliant, whether the financing guarantee responsibility balance issued by the maximum bond of a single insured person is compliant, whether the reserve amount is compliant, whether the unexpired responsibility reserve extraction amount is compliant, whether the guarantee benefit reserve extraction amount is compliant, and the like; the verification method under the operation business risk dimension module 22 includes statistics of the top ten customer concentration ratios, the guarantee compensation concentration ratio, the guarantee compensation rate, the compensation recovery rate and the guarantee loss rate. The verification mode under the risk sustained-release dimension module 23 comprises the steps of obtaining the coverage rate of warranty dial-up, the extraction rate of risk reserve gold, the coverage rate of a collateral deposit and the like; the verification mode under the capital management dimension module 24 comprises the steps of acquiring the asset liability rate, liquidity ratio, capital sufficiency rate, short-term repayment capacity, asset proportions of all levels and the like; the verification method in the illegal fundamentation risk dimension module 25 includes judging whether illegal fundamentation behaviors exist or not.
For each verification mode, after the parameters shown in table 1 are obtained, the risk index is calculated according to the rule values configured by the risk verification parameter setting module 4. The parameters referred to in table 1 can be directly searched from the key information output by the data filtering and classification statistical module 13 of the data acquisition module 1. In a default state, the risk verification dimension setting module 2 configures five sub-modules, and the risk verification module 3 configures all verification modes.
The risk verification parameter setting module 4 is configured to set a parameter rule value related to each verification mode in the risk verification module 3. The risk verification parameter setting module 4 acquires parameter data required by each verification mode as shown in table 1 according to information of the financing security organization in which the risk is definitely generated, and then configures a parameter rule value of each verification mode and inputs the parameter rule value into the risk verification module 3 for use. The process of configuring the parameter rule value by the risk verification parameter setting module 4 includes:
the method comprises the steps of firstly, extracting collected plan data of each financing guarantee mechanism, calculating parameter data of each financing guarantee mechanism in each verification mode under each risk dimension submodule, and configuring parameter rules according to the obtained parameter data. If the net asset amplification factors of the scheme establishment mechanisms reach 10 times, the parameter rule value of the net asset amplification factor is 10 times, and when the net asset amplification factor is greater than or equal to 10 times, the risk probability is very high, and a large risk probability value is set; configuring corresponding parameter rule values by counting all parameter data of a scheme establishment;
secondly, after parameter rule values of all verification modes are obtained, counting the risk probability value of each risk dimension submodule, and configuring an acquisition rule of risk probabilities of a financing guarantee mechanism under five risk dimensions;
thirdly, verifying the set data by using the configured multidimensional verification rule, wherein the rule is unavailable, continuously adjusting parameters, and verifying the financing guarantee mechanism without risk if the rule is available;
step four, verifying the comprehensive risk condition of the financing guarantee mechanism without risk in a multi-dimensional way, verifying the comprehensive risk condition with the real condition of the corresponding mechanism, and judging whether the configured parameter rule values of all verification ways and the risk probability acquisition rules under five risk dimensions are available; if the risk verification module is available, the risk verification module 3 is input for use, otherwise, the third step is continued to be executed.
When the device is used for risk verification of a certain financing guarantee mechanism, the data acquisition module 1 acquires data information of the financing guarantee mechanism and outputs a statistical key index information result; the risk verification parameter setting module 4 sets parameter rule values of all verification modes in the risk verification module 3; selecting a risk dimension submodule and a verification mode thereof from the risk verification dimension setting module 2 and the risk verification module 3 to generate a multi-dimensional risk verification table; and recording the selected risk dimension sub-module, parameters required by the selected verification mode, the risk index of the selected verification mode and the risk index of the selected risk dimension sub-module in the multi-dimensional risk verification table. The risk verification module 3 searches parameter data from the statistical result of the data acquisition module 1 and fills the parameter data into a multi-dimensional risk verification table, calculates risk indexes under each verification mode by combining parameter rule values, synthesizes the risk indexes of all verification modes under the same risk dimension, for example, performs weighted summation, or sets a comprehensive value according to a preset rule and outputs the risk indexes under each risk dimension submodule. As shown in fig. 2, the present invention is an output result of risk verification performed by a financing security organization, and the result is output in five dimensions.
Claims (3)
1. A multidimensional risk verification device for use with a financing underwriting organization, comprising: the system comprises a data acquisition module, a risk verification dimension setting module, a risk verification module and a risk verification parameter setting module;
the data acquisition module is used for collecting data information of the financing guarantee mechanism, and comprises the following components: basic business information, operation data, financial data, functional department data, social security data and legal risk data; the data acquisition module statistically acquires parameter data required by each verification mode in the risk verification module from the acquired data information of the financing guarantee organization, and outputs a statistical result;
the risk verification dimension setting module comprises five risk dimension sub-modules which are a policy compliance risk dimension module, an operation business risk dimension module, a risk slow-release dimension module, a capital management dimension module and an illegal investment risk dimension module respectively;
the risk verification module is internally provided with a verification mode of each risk dimension submodule; wherein, the verification mode set for the policy compliance risk dimension module comprises the following steps: net asset magnification, the same insured maximum financing guarantee responsibility balance, the single insured maximum bond issue financing guarantee responsibility balance, the reserve amount, the unexpired responsibility reserve extraction amount, the guarantee indemnity reserve extraction amount; the verification mode set for the operation business risk dimension module comprises the following steps of obtaining parameters: the first ten customer concentration ratios, guarantee compensation rates, compensation recovery rates, and guarantee loss rates; the verification mode set for the risk slow-release dimension module comprises the following steps of obtaining parameters: guarantee equipment allocation coverage, risk reserve extraction rate, and coverage of the collateral; the verification mode set for the capital management dimension module comprises the following steps of obtaining parameters: fluidity ratio, asset liability rate, capital abundance rate, short-term liability paying capacity, and asset proportions at each level; the verification mode set for the illegal fundamentation risk dimension module is to search whether illegal fundamentation behaviors exist or not;
the risk verification parameter setting module periodically updates and sets the parameter rule values of all verification modes in the risk verification module;
when the device is used for risk verification of a financing guarantee mechanism, the data acquisition module acquires data information of the financing guarantee mechanism and outputs a statistical result; the risk verification parameter setting module sets parameter rule values of all verification modes in the risk verification module; selecting a risk dimension submodule and a verification mode thereof from a risk verification dimension setting module and a risk verification module to generate a multi-dimensional risk verification table; the risk verification module searches parameter data from the statistical result of the data acquisition module and fills the parameter data into a multi-dimensional risk verification table, calculates the risk probability value under each verification mode by combining the parameter rule value, integrates the risk probability values of all verification modes under the same risk dimension, and outputs the risk probability value under each risk dimension submodule.
2. The method according to claim 1, characterized in that a data crawling module, an external data reading interface, a data filtering and classification statistical module are arranged in the data acquisition module; the data crawling module periodically crawls data information of the financing guarantee organization from the network and stores the data information in the local; the external data reading interface is used for reading a data information file of a local financing guarantee organization; and the data filtering and classifying and counting module is used for cleaning the crawled network data and classifying and counting the data information of the financing guarantee institution.
3. The method according to claim 1, wherein the risk verification parameter setting module collects data information of a filing institution, counts parameter data in each verification mode, sets a parameter rule value of each verification mode, and further sets a risk probability obtaining rule of five risk dimension sub-modules; after the setting is finished, verifying and adjusting the parameter rule values and the risk probability acquisition rules by using the data information of the scheme establishment mechanism and the data information of the financing guarantee mechanism without risk until the risk judgment is applicable to the scheme establishment mechanism and the financing guarantee mechanism without risk.
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