CN110322089A - Enterprise Credit Risk Evaluation method and its system - Google Patents

Enterprise Credit Risk Evaluation method and its system Download PDF

Info

Publication number
CN110322089A
CN110322089A CN201810276716.2A CN201810276716A CN110322089A CN 110322089 A CN110322089 A CN 110322089A CN 201810276716 A CN201810276716 A CN 201810276716A CN 110322089 A CN110322089 A CN 110322089A
Authority
CN
China
Prior art keywords
enterprise
index
score
module
information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201810276716.2A
Other languages
Chinese (zh)
Inventor
程驰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zong Ho Investment (shanghai) Co Ltd
Original Assignee
Zong Ho Investment (shanghai) Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zong Ho Investment (shanghai) Co Ltd filed Critical Zong Ho Investment (shanghai) Co Ltd
Priority to CN201810276716.2A priority Critical patent/CN110322089A/en
Publication of CN110322089A publication Critical patent/CN110322089A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/03Credit; Loans; Processing thereof

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Development Economics (AREA)
  • Economics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Marketing (AREA)
  • Finance (AREA)
  • Accounting & Taxation (AREA)
  • Educational Administration (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Game Theory and Decision Science (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Technology Law (AREA)
  • Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)

Abstract

The present invention provides a kind of Enterprise Credit Risk Evaluation method, a kind of Enterprise Credit Risk Evaluation method includes the following steps: the step that scores: according to parameter preset, obtaining enterprise's score, and defines weight coefficient;Company information obtaining step: according to enterprise's score, company information is obtained;Company information matching step: the company information obtained is matched with default identification information, obtains missing values, error value;Amendment step: according to missing values, the missing values of current enterprise information are supplemented;According to error value, weight coefficient is updated.It is single according to single and analytical property that Enterprise Credit Risk Evaluation method provided by the invention solves the problems, such as that current letter comments system letter to comment.The frame of model foundation i.e. of the present invention not only includes the microcosmic financial data of traditional enterprise, the data and macroeconomy cycle data that industry where further comprising enterprise moves in turn.

Description

Enterprise Credit Risk Evaluation method and its system
Technical field
The present invention relates to appraisal procedures, and in particular, to a kind of Enterprise Credit Risk Evaluation method and its system.
Background technique
As the continuous development of China Capital Markets is sound, investor is more comprehensive to the information announcing of investment target, deep Enter and becomes privileged.Existing more rating organization and ranking method in Vehicles Collected from Market, such as Chinese five big rating organizations and state The big rating organization of the three of border carries out the analysis of business solvency etc. by using the mode that credit grade is classified.Another kind of wind Dangerous analysis method is credit risk qualitative analysis, and the analysis is from financial data, according to statistical model and the law of large numbers to wealth Business data carry out strong rice analysis.What main representative model had the graceful Z-Score model of Aunar and a later period is applied to assessing credit risks Logit analyze (Ohlson is put forward for the first time).
Many years historical development and differentiation are passed through in the credit rating analysis that the above method provides, and it is public to have been developed as people Unified credit rating, it has also become the basic reference information of investment analysis decision, but in order to more meet capital market investment Person's policy requirement, the present invention establish the credit-graded approach for security secondary market issuing subject.This method and traditional Rating model and method are more than target layers, dimension, have depth.Each single index can be according to industry common feature and enterprise Personal characteristics assigns the more intensions of index outstanding problem place simultaneously.Enable the more acurrate reflection enterprise of an achievement data Ability section (including debt paying ability, profitability, operation ability, executive capability etc.).In dimension, reflection credit dimension increases It is more, including microcosmic dimension (financial data, strategic execution, financial competition ability of a enterprise etc.), macro (economic cycle, market Policy, monetary policy, trade information etc.).Above-mentioned thinking, calculating process are executed eventually by computer programing, are completed at once The letter of enterprise dominant scores analysis.
For patent document application No. is 201710669426.X, publication No. is that CN107437151A discloses a kind of business standing Ranking method: step 1, quantization capacity index weight, capacity index include industry development index, Core Team mass index, It is normative with risk, strength scale, debt paying ability, profitability, operation ability, business growth ability, technology and innovation ability and Market and channel index;Step 2, quantization details index weights;Step 3, each capacity index and each details for enterprise Index scoring;The product capacitation index total score of step 4, each capacity index weight that adds up and corresponding index scoring, adds up Each details index weights and the product of corresponding index scoring obtain details index total score, and business standing score=capacity index is total Point+details index total score.The descriptive language of non-financial target is converted component number by the present invention, using the method for quantitative study All indexs are brought into unified evaluation criterion.Finally formed medium-sized and small enterprises credit Rating Model for bank provide by Subjective judgement is reduced to minimum ranking method, can carry out just objective credit to such enterprise using this thinking and comment Valence.The method weight and capacity index the same to all enterprise's uses cause credit scoring result not have specific aim.It influences The debt paying ability of investor's discrimination enterprise.
For patent document application No. is 201611005871.8, publication No. is that CN106503924A discloses a kind of little Wei enterprise Credit assessment method, including credit appraisal module, credit acquisition module, credit analysis module, data memory module, personal credit Evaluation module, enterprise operation credit evaluation module and display module;Data memory module is connect with the first data collector, credit Analysis module is electrically connected with the second data collector, third data collector, and data memory module is electrically connected with credit analysis module It connects, personal credit file model is electrically connected with data memory module, and enterprise operation credit evaluation model and data memory module connect It connects, credit evaluation module is connect with personal credit file module, enterprise operation credit evaluation module, and display module is used for according to letter Enterprise credit risk report is generated with the calculated result of evaluation module.The evaluation point to small micro- business standing degree can be achieved in the present invention Analysis, the analysis convenient for foreign enterprises to enterprise improve the opportunity of investment.
The selection difference of the sample index of this method is big, formula algorithm difference is big, to influence the credit rating to enterprise Judgement.
Summary of the invention
For the defects in the prior art, the object of the present invention is to provide a kind of Enterprise Credit Risk Evaluation method and its it is System.
A kind of Enterprise Credit Risk Evaluation method provided according to the present invention, includes the following steps:
Score step: according to parameter preset, obtaining enterprise's score, and defines weight coefficient;
Company information obtaining step: according to enterprise's score, company information is obtained;
Company information matching step: the company information obtained is matched with default identification information, acquisition missing values, Error value;
Amendment step: according to missing values, the missing values of current enterprise information are supplemented;According to error value, power is updated Weight coefficient;
Sending step: enterprise's score is sent to by user terminal by internet or local area network;
Display step: enterprise's score is shown in user terminal.
Preferably, the company information includes credit information of enterprise;
The parameter preset includes the operation pressure parameter, operation development parameter, market competition parameter and financial competition ginseng Number;
The Enterprise Credit Risk Evaluation method includes:
Printing step: the weight coefficient is printed.
The present invention also provides a kind of enterprise evaluations realized using above-mentioned Enterprise Credit Risk Evaluation method to screen system System, including module M1;
The module M1: the quantification treatment of various dimensions index basic data;
The quantification treatment of the various dimensions index basic data includes converting qualitative index to quantizating index, quantizating index Single dimension index score is obtained after combined weighted;
The qualitative index include industry development inertia index, enterprise development threaten index, Financial fraud coefficient index with And enterprise reforms coefficient index.
Preferably, including module M2;
The module M2: processing module M1 resulting each single dimension index score, and carry out recombination again and add Power obtains final business standing comprehensive score.
Preferably, including module M3;
The module M3: business standing comprehensive score final obtained by module M2 is modified, and obtains comprehensive assessment Scoring;
In comprehensive assessment scoring, irrelevance big scoring enterprise and shortage of data enterprise are obtained, and enters investigation link; According to industry characteristic information, enterprise characteristic information and information data, index item and weight proportion are corrected.
Compared with prior art, the present invention have it is following the utility model has the advantages that
1, Enterprise Credit Risk Evaluation method and its system provided by the invention meet institutional investor and more become privileged throwing Provide analysis of strategies demand.
2, letter comments system letter to comment according to single and analysis at present for Enterprise Credit Risk Evaluation method solution provided by the invention The problem of single property.The frame of model foundation i.e. of the present invention not only includes the microcosmic financial data of traditional enterprise, is further comprised The data and macroeconomy cycle data that industry where enterprise moves in turn.
3, the language that Enterprise Credit Risk Evaluation method provided by the invention is programmed by computer programing, breaches one It is a to realize technical problem, i.e., the ability of quick more ranges, various dimensions crawl data.Save the analysis decision of investment institution Time.
4, Enterprise Credit Risk Evaluation method provided by the invention improves the efficiency of anticipating risk loss, reduces investment fault Probability.Score-system is arranged from the angle of prevention investment risk in the present invention, data screening and weight proportion in establishment process Link is more harsh, therefore it is lower to choose all enterprise's entirety scores come.Certain warning, pre- is played to investment decision person Anti- effect.
5, Enterprise Credit Risk Evaluation method provided by the invention promotes the efficiency of decision-making of investment decision person.Save manpower at This, saves the information search time.If investor can not be rapidly completed in the short time again not by the processing of computer programing The browsing and analysis of the indexs such as tens financial datas, operation ability index, competitiveness indicator, industry development inertia.By this Algorithm and setting by computer programing, the more times of ranges for increasing human brain analysis, can complete to sweep in 3.5 seconds disk+ Trading strategies are exported to personnel.
Detailed description of the invention
Upon reading the detailed description of non-limiting embodiments with reference to the following drawings, other feature of the invention, Objects and advantages will become more apparent upon:
Fig. 1 is the flow chart of Enterprise Credit Risk Evaluation method provided by the invention.
Specific embodiment
The present invention is described in detail combined with specific embodiments below.Following embodiment will be helpful to the technology of this field Personnel further understand the present invention, but the invention is not limited in any way.It should be pointed out that the ordinary skill of this field For personnel, without departing from the inventive concept of the premise, several changes and improvements can also be made.These belong to the present invention Protection scope.
The present invention provides Enterprise Credit Risk Evaluation method, include the following steps: the step that scores: according to parameter preset, Enterprise's score is obtained, and defines weight coefficient;Company information obtaining step: according to enterprise's score, company information is obtained;Enterprise's letter Breath matching step: the company information obtained is matched with default identification information, obtains missing values, error value;Amendment step It is rapid: according to missing values, the missing values of current enterprise information being supplemented;According to error value, weight coefficient is updated;Send step It is rapid: enterprise's score is sent to by user terminal by internet or local area network;Display step: the enterprise is shown in user terminal Score.
The company information includes Credit Risk Assessment of Enterprise information;The parameter preset includes the operation pressure parameter, operation hair Open up parameter, market competition parameter and financial competition parameter;The Enterprise Credit Risk Evaluation method includes: printing step: being beaten Print the weight coefficient.
The present invention also provides a kind of enterprise evaluations realized using above-mentioned Enterprise Credit Risk Evaluation method to screen system System, including module M1;The module M1: the quantification treatment of various dimensions index basic data;The various dimensions index basic data Quantification treatment include obtaining single dimension index after converting qualitative index to quantizating index, quantizating index combined weighted to obtain Point;The qualitative index includes industry development inertia index, enterprise development threat index, Financial fraud coefficient index and enterprise Reform coefficient index.
Enterprise evaluation screening system provided by the invention, including module M2;The module M2: processing module M1 is resulting each A single dimension index score, and carry out recombination weighting again and obtain final business standing comprehensive score, i.e., it is of the invention The Enterprise Credit Risk Evaluation method of offer.
Enterprise evaluation screening system provided by the invention, including module M3;The module M3: final to module M2 gained Business standing comprehensive score is modified, and show that comprehensive assessment is scored;In comprehensive assessment scoring, acquisition irrelevance is big to be commented Divide enterprise and shortage of data enterprise, and enters investigation link;According to industry characteristic information, enterprise characteristic information and Information Number According to amendment index item and weight proportion.
Enterprise Credit Risk Evaluation method provided by the invention and its method are further described below: analysis object For security secondary market issuing subject (i.e. with the public enterprise of public information).
Methods of marking:
1) calculating process, i.e. scoring step and company information obtaining step: by short-term the operation pressure from enterprise, long-term The operation pressure, operation develop five inertia, the market competitiveness, financial competition ability dimensions and give a mark to the credit situation of enterprise, Full marks 10 divide, and 7 points the above are can invest.
Above five dimensions index score first is calculated according to formula respectively, then is obtained after These parameters are carried out coefficient weighting An overall target data out, the i.e. credit scoring of enterprise.
Wherein each index is by each financial analysis indexes, key finance/operation data warp again in five dimensions It is calculated after crossing combined sorting (addition subtraction multiplication and division).
2) makeover process, i.e. amendment step: selection certain amount enterprise carries out first run test, and emphasis finds no data enterprise With effort analysis large enterprises, and enter data and check link, assigns during being redefined belonging to data to no data enterprise or again Value;The enterprise big to effort analysis redefines weight coefficient according to enterprise's qualitative analysis and research experience.
Five dimension indexs, i.e. parameter preset specific explanations:
1) short-term the operation pressure: find showed during enterprise run immediately with the financial data of upstream and downstream, enterprise itself Operation data performance, enterprise's floating debt index, enterprise's floating debt index stability, the short-term emergency event of enterprise+routine section Play the operation pressure under amplification debt-credit investment smoothing processing;
2) long-term the operation pressure: enterprise's long-term debt, market stability degree, finance stable degree, debt develop channel, operation hair The comprehensive score in channel, Regional Development Environment is opened up, the long-term financial pressure of anticipation enterprise and the operation pressure are attempted;
3) operation develops convention: passing through enterprise operation strength, profit strength, Financial Distress analysis, financial change intensity, enterprise Industry development stability degree, industry comprehensive development stability, different coefficient weightings judge enterprise development channel;
4) market competitiveness: by the way that in enterprise 5 years, finance, social aggregation of data ranking are calculated in a manner of inverted order weight Weighting ranking of the enterprise in the whole industry, the wherein operating cost of emphasis making assessments of the performance of each enterprise, income stability, profitability and exploitation Expenditure+R & D Expenditures ROI rhythm;
5) financial competition ability: by the period of increasing the interest, the period of dropping interests different channels under, enterprise at that time, new development immediately Decision direction, interest rate height to judge financial atmosphere competitiveness of the enterprise at that time, immediately in situation attempt amendment operation Coefficient.
Technical solution of the present invention mainly includes that data quantization processing module, score data COMPREHENSIVE CALCULATING module and data are repaired Positive module.It concrete function and is described as follows:
A module, i.e. module M1: the quantification treatment module of various dimensions index basic data.This module mainly includes will be qualitative Index is converted into quantizating index, quantizating index reconfigures the score that single dimension index is obtained after weighting.Qualitative index includes Industry development inertia index, enterprise development threaten index, Financial fraud coefficient index, enterprise to reform coefficient index.
B module, i.e. module M2: the index score of the processing resulting each dimension of A module, and recombination weighting processing is carried out again Final enterprise's credit comprehensive score is calculated.
C module, i.e. module M3: score data obtained by B module is modified.After B module obtains comprehensive score, the side of passing through Difference, which calculates, finds out irrelevance big scoring enterprise and shortage of data enterprise, and enters investigation link, according to inventor to industry spy The understanding of sign, enterprise characteristic, and by other information data, index item and weight proportion are corrected again.By repeatedly correcting It is determined with experiment and calculates comprehensive score.
One skilled in the art will appreciate that in addition to realizing method provided by the invention in a manner of pure computer readable program code It, completely can be by the way that method and step be carried out programming in logic come so that the present invention provides and its other than each device, module, unit Method and its each device, module, unit with logic gate, switch, specific integrated circuit, programmable logic controller (PLC) and embedding Enter the form of the controller that declines etc. to realize identical function.So method provided by the invention and its every device, module, list Member is considered a kind of hardware component, and to include in it can also for realizing the device of various functions, module, unit To be considered as the structure in hardware component;It can also will be considered as realizing the device of various functions, module, unit either real The software module of existing method can be the structure in hardware component again.
Specific embodiments of the present invention are described above.It is to be appreciated that the invention is not limited to above-mentioned Particular implementation, those skilled in the art can make a variety of changes or modify within the scope of the claims, this not shadow Ring substantive content of the invention.In the absence of conflict, the feature in embodiments herein and embodiment can any phase Mutually combination.

Claims (5)

1. a kind of Enterprise Credit Risk Evaluation method, which comprises the steps of:
Score step: according to parameter preset, obtaining enterprise's score, and defines weight coefficient;
Company information obtaining step: according to enterprise's score, company information is obtained;
Company information matching step: the company information obtained is matched with default identification information, obtains missing values, mistake Value;
Amendment step: according to missing values, the missing values of current enterprise information are supplemented;According to error value, weight system is updated Number;
Sending step: enterprise's score is sent to by user terminal by internet or local area network;
Display step: enterprise's score is shown in user terminal.
2. Enterprise Credit Risk Evaluation method according to claim 1, which is characterized in that the company information includes enterprise Credit information;
The parameter preset includes the operation pressure parameter, operation development parameter, market competition force parameter and financial competition ability ginseng Number;
The Enterprise Credit Risk Evaluation method includes:
Printing step: the weight coefficient is printed.
3. a kind of rating business credit realized using Enterprise Credit Risk Evaluation method described in as claimed in claim 1 or 22 screens system System, which is characterized in that including module M1;
The module M1: the quantification treatment of various dimensions index basic data;
The quantification treatment of the various dimensions index basic data includes converting qualitative index to quantizating index, quantizating index combination Single dimension index score is obtained after weighting;
The qualitative index includes industry development inertia index, enterprise development threat index, Financial fraud coefficient index and enterprise Industry reforms coefficient index.
4. enterprise evaluation screening system according to claim 3, which is characterized in that including module M2;
The module M2: processing module M1 resulting each single dimension index score, and carry out recombination weighting again and obtain Final Credit Risk Assessment of Enterprise is taken to score.
5. enterprise evaluation screening system according to claim 3, which is characterized in that including module M3;
The module M3: being modified business standing comprehensive score final obtained by module M2, and show that comprehensive assessment is scored;
In comprehensive assessment scoring, irrelevance big scoring enterprise and shortage of data enterprise are obtained, and enters investigation link;According to Industry characteristic information, enterprise characteristic information and information data correct index item and weight proportion.
CN201810276716.2A 2018-03-30 2018-03-30 Enterprise Credit Risk Evaluation method and its system Pending CN110322089A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810276716.2A CN110322089A (en) 2018-03-30 2018-03-30 Enterprise Credit Risk Evaluation method and its system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810276716.2A CN110322089A (en) 2018-03-30 2018-03-30 Enterprise Credit Risk Evaluation method and its system

Publications (1)

Publication Number Publication Date
CN110322089A true CN110322089A (en) 2019-10-11

Family

ID=68111484

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810276716.2A Pending CN110322089A (en) 2018-03-30 2018-03-30 Enterprise Credit Risk Evaluation method and its system

Country Status (1)

Country Link
CN (1) CN110322089A (en)

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110852600A (en) * 2019-11-07 2020-02-28 江苏税软软件科技有限公司 Method for evaluating dynamic risk of market subject
CN111626844A (en) * 2020-05-11 2020-09-04 北京联行信用管理服务有限公司 Enterprise credit assessment method and device based on big data analysis
CN111709669A (en) * 2020-07-08 2020-09-25 天元大数据信用管理有限公司 Enterprise credit scoring system and method
CN111754317A (en) * 2020-06-16 2020-10-09 曹明洲 Financial investment data evaluation method and system
CN111932268A (en) * 2020-08-03 2020-11-13 中国工商银行股份有限公司 Enterprise risk identification method and device
CN112053234A (en) * 2020-09-04 2020-12-08 天元大数据信用管理有限公司 Enterprise credit rating method based on macroscopic region economic index and microscopic factor
CN112053231A (en) * 2020-09-03 2020-12-08 中国银行股份有限公司 Loan application processing method and device
CN112053233A (en) * 2020-09-04 2020-12-08 天元大数据信用管理有限公司 Dynamic small and medium enterprise credit scoring method and system based on GRA
CN112734271A (en) * 2021-01-19 2021-04-30 建信金融科技有限责任公司 Growth curve regression model training method and enterprise evaluation index generation method
CN113256163A (en) * 2021-06-21 2021-08-13 成都秦川物联网科技股份有限公司 Smart city government affair cloud platform off-network operation method and system
CN113313615A (en) * 2021-06-23 2021-08-27 北京鼎泰智源科技有限公司 Method and device for quantitatively grading and grading enterprise judicial risks
CN113837859A (en) * 2021-08-25 2021-12-24 天元大数据信用管理有限公司 Small and micro enterprise portrait construction method
CN113962614A (en) * 2021-12-21 2022-01-21 深圳市迪博企业风险管理技术有限公司 Intelligent examination method and device for business abnormity of listed company
CN116485256A (en) * 2023-04-23 2023-07-25 汇通达网络股份有限公司 Dynamic evaluation method for demand unit credibility based on product operation period

Cited By (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110852600A (en) * 2019-11-07 2020-02-28 江苏税软软件科技有限公司 Method for evaluating dynamic risk of market subject
CN111626844A (en) * 2020-05-11 2020-09-04 北京联行信用管理服务有限公司 Enterprise credit assessment method and device based on big data analysis
CN111754317A (en) * 2020-06-16 2020-10-09 曹明洲 Financial investment data evaluation method and system
CN111709669A (en) * 2020-07-08 2020-09-25 天元大数据信用管理有限公司 Enterprise credit scoring system and method
CN111932268A (en) * 2020-08-03 2020-11-13 中国工商银行股份有限公司 Enterprise risk identification method and device
CN111932268B (en) * 2020-08-03 2024-01-26 中国工商银行股份有限公司 Enterprise risk identification method and device
CN112053231A (en) * 2020-09-03 2020-12-08 中国银行股份有限公司 Loan application processing method and device
CN112053234B (en) * 2020-09-04 2022-09-30 天元大数据信用管理有限公司 Enterprise credit rating method based on macroscopic region economic index and microscopic factor
CN112053234A (en) * 2020-09-04 2020-12-08 天元大数据信用管理有限公司 Enterprise credit rating method based on macroscopic region economic index and microscopic factor
CN112053233A (en) * 2020-09-04 2020-12-08 天元大数据信用管理有限公司 Dynamic small and medium enterprise credit scoring method and system based on GRA
CN112053233B (en) * 2020-09-04 2023-11-14 天元大数据信用管理有限公司 GRA-based dynamic medium and small enterprise credit scoring method and system
CN112734271A (en) * 2021-01-19 2021-04-30 建信金融科技有限责任公司 Growth curve regression model training method and enterprise evaluation index generation method
CN113256163A (en) * 2021-06-21 2021-08-13 成都秦川物联网科技股份有限公司 Smart city government affair cloud platform off-network operation method and system
CN113313615A (en) * 2021-06-23 2021-08-27 北京鼎泰智源科技有限公司 Method and device for quantitatively grading and grading enterprise judicial risks
CN113837859A (en) * 2021-08-25 2021-12-24 天元大数据信用管理有限公司 Small and micro enterprise portrait construction method
CN113837859B (en) * 2021-08-25 2024-05-14 天元大数据信用管理有限公司 Image construction method for small and micro enterprises
CN113962614A (en) * 2021-12-21 2022-01-21 深圳市迪博企业风险管理技术有限公司 Intelligent examination method and device for business abnormity of listed company
CN116485256A (en) * 2023-04-23 2023-07-25 汇通达网络股份有限公司 Dynamic evaluation method for demand unit credibility based on product operation period
CN116485256B (en) * 2023-04-23 2024-05-24 汇通达网络股份有限公司 Dynamic evaluation method for demand unit credibility based on product operation period

Similar Documents

Publication Publication Date Title
CN110322089A (en) Enterprise Credit Risk Evaluation method and its system
CN109829631A (en) A kind of business risk early warning analysis method and system based on memory network
Huang et al. Unsupervised neural networks approach for understanding fraudulent financial reporting
CN106156957A (en) A kind of business risk appraisal procedure based on weight and system
Jiang et al. Does the price of strategic commodities respond to US partisan conflict?
Lin et al. Uncertainties and green bond markets: Evidence from tail dependence
Timurlenk et al. Country risk
Soroushyar Auditor characteristics and the financial reporting quality: the moderating role of the client business strategy
Sabrun et al. Do Shariah-compliant companies engage lesser earnings management behaviour?
Mensi et al. Spillover and connectedness among G7 real estate investment trusts: The effects of investor sentiment and global factors
CN115293598A (en) Enterprise financial management risk identification method based on financial big data
Drábková et al. Comparison of creative accounting risks in small enterprises: the different branches perspective
Huang et al. Feature extraction of fraudulent financial reporting through unsupervised neural networks
AL-Masharfi et al. The role of electronic accounting information system in measuring credit risk in National Bank of Oman
Kwak et al. Predicting bankruptcy after The Sarbanes-Oxley act using the most current data mining approaches
CN115564551A (en) Enterprise credit rating method for financial big data
Olli Impact of ESG on financial performance: empirical evidence from the European market 2002–2019
Charoenwong et al. Hidden non-performing loans in China
Singh et al. Detecting accounting fraud using quantitative techniques
Leung Cost of equity effects from mandatory IFRS adoption: The importance of reporting incentives
Cumming et al. Stock Market Manipulation and Corporate Venture Capital Investments
Kangarlouei et al. The effect of ownership structure on voluntary discloser in Tehran stock Exchange
Liu et al. CEO option compensation can be a bad option: Evidence from product market relationships
D'Amato et al. Linear discriminant analysis and logistic regression for default probability prediction: the case of an Italian local bank
Wang Research on a Financial Crisis Early Warning Model Based on a Stochastic Forest Algorithm

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20191011