CN104063767A - Listed company financial security status evaluation method - Google Patents
Listed company financial security status evaluation method Download PDFInfo
- Publication number
- CN104063767A CN104063767A CN201410318783.8A CN201410318783A CN104063767A CN 104063767 A CN104063767 A CN 104063767A CN 201410318783 A CN201410318783 A CN 201410318783A CN 104063767 A CN104063767 A CN 104063767A
- Authority
- CN
- China
- Prior art keywords
- financial
- index
- company
- beta
- value
- 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
Links
Landscapes
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
Abstract
The invention relates to the field of company financial risk studies, in particular to a listed company financial security status evaluation method. The method comprises the steps that a listed company financial crisis index is defined and is called the W-index for short, and determination methods of all parameters in the W-index are designed; the W-index of a target company to be evaluated is calculated, and the financial status of the target company to be evaluated is judged according to a calculation value of the W-index; if the W-index is within an interval (a1, b1), the financial status of the target company is judged to be 'relatively sound'; if the W-index is within an interval (a2, b2), the financial status of the target company is judged to be in 'early warning'; if the W-index is within an interval (a3, b3), the financial status of the target company is judged to be in 'financial distress'.
Description
Technical field
The present invention relates to Corporate Finance risk investigation field, particularly relate to a kind of Company Financial the evaluation of the safe status method.
Background technology
Financial Distress (financial distress), is also referred to as financial crisis (financial crisis), refers to that enterprise cannot repay a series of possible negative circumstances facing because of due debt capital or interest on time.These a series of possible negative circumstances differ and with; have only just defer payment after just alleviated, what have can be absorbed in deferring payment repeatedly, and then causes credit crisis; suffer that unmatured debt people requires recovery in advance or appends guarantee, even enters the link of liquidating.So how the standard that enterprise faces Financial Distress how, is differentiated enterprise's possibility and can be faced this predicament, the view of industry exists some differences.External some to study to go bankrupt be the criterion of predicament, and domestic research early warning is relatively stronger, the discrimination standard using the special processing (special treatment, ST) of listed company as Financial Distress.If to liking the coal enterprise in merging state, after merging consideration payment, also need a considerable amount of follow-up fusion costs, so requiring for the early warning of Financial Distress can be higher, and, because the singularity of himself property of such enterprise of similar coal enterprise (as relatively large in the intangible asset accounting of this class of right to mine of mineral resources etc.), add the specific background of government's instruction that industry merges etc., need to set more strict discrimination standard.
A Erteman (Edward I.Altman) accounts for the total proportion of total assets, retained income by working fund and accounts for these five representative indexs of proportion that the ratio of proportion that the total proportion of total assets, IBTT (EBIT) accounts for total assets, rights and interests total market capitalisation and total liabilities and sales volume account for total assets and combined and obtained Z value (Z-score) and get and carry out financial crisis prediction by linear dependence.
Domestic similar research has, Zhou Shouhua in 1996 etc. expand the Z value discrimination model of A Erteman, set up " F mark pattern ", the critical value of F mark is 0.0274, critical value fluctuates up and down and 0.0775 belongs to uncertain region, F mark is less, and company occurs that the possibility of Financial Distress is larger.Xiang Dewei uses this method to carry out proof analysis to Chinese Listed Companies.Zhang Aimin, wish that Chun-shan Mountain and Xu Danjian combined principal component analysis (PCA) to set up Early-warning Model with Z value model in calendar year 2001, confirm that processing by this method the model of setting up after research variable has good predictive ability.
Think that five indexs of Z value discrimination model of A Erteman are not enough to reflect the financial risk situation of enterprise herein, so beard and hair is opened up new financial risk evaluation method, to reaching real early warning effect.
Summary of the invention
The invention provides a kind of Company Financial the evaluation of the safe status method, can accurate evaluation Company Financial safety case and financial risk is made to early warning.
For achieving the above object, the technical solution adopted in the present invention is: a kind of Company Financial the evaluation of the safe status method, and step is as follows:
(1) set up following Listed Companies index:
W=β
0+β
1X
1+β
2X
2+β
3X
3+β
4X
4+β
5X
5+β
6X
6,
Wherein,
Above Listed Companies index, is called for short W-index (W-score);
(2) X of various kinds our company, as sample, calculates according to Financial Statement of Listed Corporations data in the listed company based within the scope of randomly assigne extraction goal in research
1~X
6six desired values, use and the computable index of the Financial Crisis Horizontal correlation Substitute Indexes as W, carry out each parameter beta in linear regression calculative determination W-index
0, β
1..., β
6.The Substitute Indexes of W can adopt the one in following index:
1. binaryzation index, when stock exchange confirms that Company Financial or the normal seasonal W value of other situations are 1, when stock exchange confirms that Company Financial or the seasonal W value of other situations abnormal (listed company be called for short before titled with " ST ", " * ST ", " S*ST " or " SST ") are 0;
②
3. the Logistic function of current rate
(3) determine the interval (a corresponding to the W-index of " relatively sane ", " early warning ", " Financial Distress " three kinds of Comments on Companies'Financial Condition according to the actual value condition of the Substitute Indexes of the W of sample company
1, b
1), (a
2, b
2), (a
3, b
3), these three interval non-overlapping copies, and the actual computation value of the Substitute Indexes of the W of the sample company in " relatively sane ", " early warning ", " Financial Distress " three kinds of financial positions falls into respectively this three intervals respectively;
(4) calculate the W-index of targeted company to be assessed, judge its financial position according to the calculated value of W-index, if W-index falls into interval (a
1, b
1), judge that Comments on Companies'Financial Condition is for " relatively sane ", if W-index falls into interval (a
2, b
2), judge that Comments on Companies'Financial Condition is for " early warning ", if W-index falls into interval (a
3, b
3), judge that Comments on Companies'Financial Condition is for " Financial Distress ".
With W-index in the time that the enterprise of serious crisis state (net assets are negative value) carries out financial crisis degree evaluation, W-index is made to following amendment:
The beneficial effect that the present invention reaches: can accurate evaluation Company Financial safety case and financial risk is made to early warning.
Brief description of the drawings
Embodiment
The concrete implementation step of a kind of Company Financial the evaluation of the safe status method of the present invention is as follows:
(1) set up following Listed Companies index:
W=β
0+β
1X
1+β
2X
2+β
3X
3+β
4X
4+β
5X
5+β
6X
6,
Wherein,
Above Listed Companies index, is called for short W-index (W-score);
(2) X of various kinds our company, as sample, calculates according to Financial Statement of Listed Corporations data in the listed company based within the scope of randomly assigne extraction goal in research
1~X
6six desired values, use and the computable index of the Financial Crisis Horizontal correlation Substitute Indexes as W, carry out each parameter beta in linear regression calculative determination W-index
0, β
1..., β
6.The Substitute Indexes of W can adopt the one in following index:
1. binaryzation index, when stock exchange confirms that Company Financial or the normal seasonal W value of other situations are 1, when stock exchange confirms that Company Financial or the seasonal W value of other situations abnormal (listed company be called for short before titled with " ST ", " * ST ", " S*ST " or " SST ") are 0;
②
3. the Logistic function of current rate
(3) determine the interval (a corresponding to the W-index of " relatively sane ", " early warning ", " Financial Distress " three kinds of Comments on Companies'Financial Condition according to the actual value condition of the Substitute Indexes of the W of sample company
1, b
1), (a
2, b
2), (a
3, b
3), these three interval non-overlapping copies, and the actual computation value of the Substitute Indexes of the W of the sample company in " relatively sane ", " early warning ", " Financial Distress " three kinds of financial positions falls into respectively this three intervals respectively;
(4) calculate the W-index of targeted company to be assessed, judge its financial position according to the calculated value of W-index, if W-index falls into interval (a
1, b
1), judge that Comments on Companies'Financial Condition is for " relatively sane ", if W-index falls into interval (a
2, b
2), judge that Comments on Companies'Financial Condition is for " early warning ", if W-index falls into interval (a
3, b
3), judge that Comments on Companies'Financial Condition is for " Financial Distress ".
With W-index in the time that the enterprise of serious crisis state (net assets are negative value) carries out financial crisis degree evaluation, W-index is made to following amendment:
Claims (3)
1. a Company Financial the evaluation of the safe status method, is characterized in that, step is as follows:
(1) set up following Listed Companies index:
W=β
0+β
1X
1+β
2X
2+β
3X
3+β
4X
4+β
5X
5+β
6X
6,
Wherein,
Above Listed Companies index, is called for short W-index (W-score);
(2) X of various kinds our company, as sample, calculates according to Financial Statement of Listed Corporations data in the listed company based within the scope of randomly assigne extraction goal in research
1~X
6six desired values, use and the computable index of the Financial Crisis Horizontal correlation Substitute Indexes as W, carry out each parameter beta in linear regression calculative determination W-index
0, β
1..., β
6;
(3) determine the interval (a corresponding to the W-index of " relatively sane ", " early warning ", " Financial Distress " three kinds of Comments on Companies'Financial Condition according to the actual value condition of the Substitute Indexes of the W of sample company
1, b
1), (a
2, b
2), (a
3, b
3), these three interval non-overlapping copies, and the actual computation value of the Substitute Indexes of the W of the sample company in " relatively sane ", " early warning ", " Financial Distress " three kinds of financial positions falls into respectively this three intervals respectively;
(4) calculate the W-index of targeted company to be assessed, judge its financial position according to the calculated value of W-index, if W-index falls into interval (a
1, b
1), judge that Comments on Companies'Financial Condition is for " relatively sane ", if W-index falls into interval (a
2, b
2), judge that Comments on Companies'Financial Condition is for " early warning ", if W-index falls into interval (a
3, b
3), judge that Comments on Companies'Financial Condition is for " Financial Distress ".
2. Company Financial the evaluation of the safe status method according to claim 1, is characterized in that, the Substitute Indexes of W can adopt the one in following index:
(1) binaryzation index, when stock exchange confirms that Company Financial or the normal seasonal W value of other situations are 1, when stock exchange confirms that Company Financial or the seasonal W value of other situations abnormal (listed company be called for short before titled with " ST ", " * ST ", " S*ST " or " SST ") are 0;
(2)
(3) the Logistic function of current rate
3. Company Financial the evaluation of the safe status method according to claim 1; it is characterized in that; with W-index in the time that the enterprise of serious crisis state (net assets are negative value) carries out financial crisis degree evaluation, W-index is made to following amendment:
Wherein, sig (x) is sign function, and its value is defined as:
A is penalty coefficient, and assignment scope is: 1 < a < 10.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410318783.8A CN104063767A (en) | 2014-07-07 | 2014-07-07 | Listed company financial security status evaluation method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410318783.8A CN104063767A (en) | 2014-07-07 | 2014-07-07 | Listed company financial security status evaluation method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN104063767A true CN104063767A (en) | 2014-09-24 |
Family
ID=51551466
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201410318783.8A Pending CN104063767A (en) | 2014-07-07 | 2014-07-07 | Listed company financial security status evaluation method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104063767A (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106934701A (en) * | 2015-12-28 | 2017-07-07 | 航天信息股份有限公司 | A kind of enterprise tax risk value calculating method |
CN109214904A (en) * | 2018-10-11 | 2019-01-15 | 平安科技(深圳)有限公司 | Acquisition methods, device, computer equipment and the storage medium of financial fraud clue |
CN110147927A (en) * | 2019-04-15 | 2019-08-20 | 重庆金融资产交易所有限责任公司 | Financial position of the enterprise appraisal procedure, server and storage medium |
CN111612601A (en) * | 2020-04-17 | 2020-09-01 | 北京智信度科技有限公司 | Financial risk identification method and device for listed company based on service organization |
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 |
-
2014
- 2014-07-07 CN CN201410318783.8A patent/CN104063767A/en active Pending
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106934701A (en) * | 2015-12-28 | 2017-07-07 | 航天信息股份有限公司 | A kind of enterprise tax risk value calculating method |
CN109214904A (en) * | 2018-10-11 | 2019-01-15 | 平安科技(深圳)有限公司 | Acquisition methods, device, computer equipment and the storage medium of financial fraud clue |
CN110147927A (en) * | 2019-04-15 | 2019-08-20 | 重庆金融资产交易所有限责任公司 | Financial position of the enterprise appraisal procedure, server and storage medium |
CN111612601A (en) * | 2020-04-17 | 2020-09-01 | 北京智信度科技有限公司 | Financial risk identification method and device for listed company based on service organization |
CN111612601B (en) * | 2020-04-17 | 2023-05-09 | 北京智信度科技有限公司 | Financial risk identification method and device for marketing companies based on service institutions |
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 |
CN113962614B (en) * | 2021-12-21 | 2022-04-15 | 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 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Hilal et al. | Hedging the black swan: Conditional heteroskedasticity and tail dependence in S&P500 and VIX | |
Liu et al. | A study on the volatility spillovers, long memory effects and interactions between carbon and energy markets: the impacts of extreme weather | |
Kind et al. | Social vulnerability in cost-benefit analysis for flood risk management | |
CN104063767A (en) | Listed company financial security status evaluation method | |
Vogt | The Bangladesh Sustainability Compact: An Effective Tool for Promoting Workers’ Rights? | |
Correia et al. | Troika's Portuguese Ministry of Justice experiment: an empirical study on the success story of the civil enforcement actions | |
Kollar | Credit value at risk and options of its measurement | |
Chaudhry et al. | Risk modelling of ESG (environmental, social, and governance), healthcare, and financial sectors | |
Aghouei et al. | A study of the relationship of firm characteristics and corporate governance with the difference between declared and final taxes in Iran | |
Guo et al. | The economic default time and the arcsine law | |
Chen et al. | Credit derivatives in an affine framework | |
Savolainen et al. | Incorporating hydrologic uncertainty in industrial economic models: implications of extreme rainfall variability on metal mining investments | |
Patel et al. | Measurement and reporting of carbon footprints: a step towards sustainability | |
Arouri et al. | Business activity and environmental degradation in Mexico | |
CN105335891A (en) | Enterprise debt paying risk assessment method | |
Kleymenova et al. | Regulators’ Disclosure Decisions: Evidence from Bank Enforcement Actions$ | |
Mashamba | Identification of external risks affecting the South African mining sector and their mitigation strategies | |
Unver et al. | An application of logistics regression model to determining the credit suitability and impacting factors in a special bank branch | |
Zhuang | The Correlation and Effectiveness Between Two Variables that are Considered in Sustainable Investing: ESG Ratings and Credit Ratings | |
Wang | Research on Financial Risk Monitoring and Early Warning in China Based on Big Data Analysis | |
Zhou et al. | War Economy Analysis after Mortgage Crisis on Stock and Gold with Semi-Stock and Gold with Semi--Covariance Covariance Covariance | |
HERGOUN et al. | The Impact of Public Spending on Employment: A Standard Study of the Case of Algeria (1990-2017). | |
Delis et al. | Comparing methods to forecasting var: Fhs versus evt approaches | |
Hari Rao et al. | A checklist-based weighted fuzzy severity approach for calculating operational risk exposure on foreign exchange trades under the Basel II regime | |
Chaudhry et al. | Risk Analysis of ESG (Environment, Social, and Governance), Healthcare and Financial Sectors |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C53 | Correction of patent for invention or patent application | ||
CB02 | Change of applicant information |
Address after: 310018 School of management, Zhejiang University of Media and Communications, Xiasha 998, Hangzhou, Zhejiang Applicant after: Xu Weiwei Address before: 100192, Beijing, Haidian District Qinghe clear East Lane 8 building, room 504 Applicant before: Xu Weiwei |
|
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20140924 |
|
WD01 | Invention patent application deemed withdrawn after publication |