JP2002279174A5 - - Google Patents

Download PDF

Info

Publication number
JP2002279174A5
JP2002279174A5 JP2001074719A JP2001074719A JP2002279174A5 JP 2002279174 A5 JP2002279174 A5 JP 2002279174A5 JP 2001074719 A JP2001074719 A JP 2001074719A JP 2001074719 A JP2001074719 A JP 2001074719A JP 2002279174 A5 JP2002279174 A5 JP 2002279174A5
Authority
JP
Japan
Prior art keywords
credit risk
transition probability
rating
probability matrix
evaluation target
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.)
Granted
Application number
JP2001074719A
Other languages
Japanese (ja)
Other versions
JP4607359B2 (en
JP2002279174A (en
Filing date
Publication date
Application filed filed Critical
Priority to JP2001074719A priority Critical patent/JP4607359B2/en
Priority claimed from JP2001074719A external-priority patent/JP4607359B2/en
Publication of JP2002279174A publication Critical patent/JP2002279174A/en
Publication of JP2002279174A5 publication Critical patent/JP2002279174A5/ja
Application granted granted Critical
Publication of JP4607359B2 publication Critical patent/JP4607359B2/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Claims (11)

ンピュータを用いて評価対象企業の信用リスクを評価する方法であって、
業情報データベースから評価対象企業の企業情報を取得し、
産件数予測サーバから評価対象企業の属する企業群の予測倒産件数を取得し、
取得した企業情報及び予測倒産件数に基づいて前記信用リスクを決定することを特徴とする信用リスク評価方法。
A method for evaluating the credit risk evaluated companies using computer,
To get the company information to be evaluated companies from corporate information database,
Get the forecast the number of corporate bankruptcies belonging evaluation target company from bankruptcy number prediction server,
A credit risk evaluation method, wherein the credit risk is determined based on the acquired company information and the predicted number of bankruptcies.
前記信用リスクとして、前記評価対象企業の倒産確率、該評価対象企業に融資を行う場合の適正金利及び割引現在価値の少なくとも一つを決定することを特徴とする請求項1記載の信用リスク評価方法。  The credit risk evaluation method according to claim 1, wherein at least one of a bankruptcy probability of the evaluation target company, an appropriate interest rate when a loan is provided to the evaluation target company, and a discounted present value is determined as the credit risk. . 前記信用リスクを決定する際に、前記予測倒産件数に応じて前記企業群に関する格付け遷移確率行列を補正し、該補正後の格付け遷移確率行列を用いて前記評価対象企業の倒産確率、該評価対象企業に融資を行う場合の割引現在価値及び適正金利の少なくとも一つを決定することを特徴とする請求項1記載の信用リスク評価方法。  When determining the credit risk, the rating transition probability matrix related to the group of companies is corrected according to the predicted number of bankruptcies, and the bankruptcy probability of the evaluation target company using the corrected rating transition probability matrix, the evaluation target The credit risk evaluation method according to claim 1, wherein at least one of a discount present value and an appropriate interest rate when a loan is provided to a company is determined. 前記信用リスクを決定する際に、前記格付け遷移確率行列をさらに前記評価対象企業の財務データ信頼度、該評価対象企業の融資を受ける目的及び取引先リスクの少なくとも一つに応じて補正することを特徴とする請求項3記載の信用リスク評価方法。  When determining the credit risk, the rating transition probability matrix is further corrected according to at least one of the financial data reliability of the evaluation target company, the purpose of receiving the loan of the evaluation target company, and the counterparty risk. The credit risk evaluation method according to claim 3, wherein: 前記格付け遷移確率行列を前記評価対象企業の財務データ信頼度に応じて補正する際に、該格付け遷移確率行列の初期値を該財務データに応じて設定することを特徴とする請求項4記載の信用リスク評価方法。  5. The initial value of the rating transition probability matrix is set according to the financial data when the rating transition probability matrix is corrected according to the financial data reliability of the evaluation target company. Credit risk assessment method. 前記格付け遷移確率行列を前記評価対象企業の融資を受ける目的に応じて補正する際に、該目的が新規事業投資の場合に該格付け遷移確率行列の分散を補正することを特徴とする請求項4記載の信用リスク評価方法。  5. The distribution of the rating transition probability matrix is corrected when the rating transition probability matrix is corrected according to the purpose of receiving the loan of the evaluation target company when the purpose is new business investment. The credit risk assessment method described. 前記格付け遷移確率行列を前記評価対象企業の取引先リスクに応じて補正する際に、該取引先リスクとして該評価対象企業が該取引先に対して持つ売掛債権の担保力を評価し、該担保力に応じて該格付け遷移確率行列を補正することを特徴とする請求項4記載の信用リスク評価方法。  When correcting the rating transition probability matrix according to the supplier risk of the evaluation target company, the evaluation target company evaluates the collateral power of accounts receivable held by the evaluation target company against the supplier, The credit risk evaluation method according to claim 4, wherein the rating transition probability matrix is corrected according to the collateral power. コンピュータを用いて評価対象企業の信用リスクを評価する方法であって、A method for evaluating credit risk of a target company using a computer,
評価対象企業が属する企業群の学習年度の格付けから学習年度の翌年の格付けへの遷移確率を表す格付け遷移確率行列を作成するステップと、  Creating a rating transition probability matrix that represents the transition probability from the rating in the learning year of the group of companies to which the evaluation target company belongs to the rating in the following year of the learning year;
景気の悪化・好転度合いに応じて前記格付け遷移確率行列における格付けを変化させて前記格付け遷移確率行列を補正するステップと、  Correcting the rating transition probability matrix by changing the rating in the rating transition probability matrix according to the degree of economic deterioration and improvement; and
補正された後の格付け遷移確率行列を用いて前記信用リスクを決定するステップとを有する信用リスク評価方法。  A credit risk evaluation method comprising: determining the credit risk using a corrected rating transition probability matrix.
コンピュータを用いて評価対象企業の信用リスクを評価する方法であって、A method for evaluating credit risk of a target company using a computer,
評価対象企業が属する企業群の学習年度の格付けから学習年度の翌年の格付けへの遷移確率を表す格付け遷移確率行列を作成するステップと、  Creating a rating transition probability matrix that represents the transition probability from the rating in the learning year of the group of companies to which the evaluation target company belongs to the rating in the following year of the learning year;
前記企業群の予測倒産件数を入力するステップと、  Inputting a predicted number of bankruptcies of the group of companies;
前記予測倒産件数の増減度合いに応じて前記格付け遷移確率行列における格付けを変化させて前記格付け遷移確率行列を補正するステップと、  Correcting the rating transition probability matrix by changing the rating in the rating transition probability matrix according to the degree of increase or decrease in the predicted number of bankruptcies;
補正された後の格付け遷移確率行列を用いて前記信用リスクを決定するステップとを有する信用リスク評価方法。  A credit risk evaluation method comprising: determining the credit risk using a corrected rating transition probability matrix.
ンピュータを用いて評価対象企業の信用リスクを評価するシステムであって、
業情報データベースから評価対象企業の企業情報を取得する手段と、
産件数予測サーバから評価対象企業の属する企業群の予測倒産件数を取得する手段と、
取得した企業情報及び予測倒産件数に基づいて前記信用リスクを決定する手段とを具備することを特徴とする信用リスク評価システム。
A system for evaluating the credit risk evaluated companies using computer,
And means for acquiring the company information to be evaluated companies from corporate information database,
Means for obtaining a prediction bankruptcies of companies belonging evaluation target company from bankruptcy number prediction server,
A credit risk evaluation system comprising: means for determining the credit risk based on the acquired company information and the predicted number of bankruptcies.
ンピュータを用いて評価対象企業の信用リスクを評価する処理を該コンピュータに実行させるためのプログラムであって、
業情報データベースから評価対象企業の企業情報を取得する処理と、
産件数予測サーバから評価対象企業の属する企業群の予測倒産件数を取得する処理と、
取得した企業情報及び予測倒産件数に基づいて前記信用リスクを決定する処理とを前記コンピュータに実行させるためのプログラム。
The process of evaluating the credit risk evaluated companies using computer a program to be executed in the computer,
And the process of acquiring the company information to be evaluated companies from corporate information database,
And the process of acquiring the predicted number of bankruptcies of companies belonging evaluation target company from bankruptcy number prediction server,
The program for making the said computer perform the process which determines the said credit risk based on the acquired company information and the estimated number of bankruptcies.
JP2001074719A 2001-03-15 2001-03-15 Credit risk assessment method and system Expired - Fee Related JP4607359B2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2001074719A JP4607359B2 (en) 2001-03-15 2001-03-15 Credit risk assessment method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2001074719A JP4607359B2 (en) 2001-03-15 2001-03-15 Credit risk assessment method and system

Publications (3)

Publication Number Publication Date
JP2002279174A JP2002279174A (en) 2002-09-27
JP2002279174A5 true JP2002279174A5 (en) 2005-07-28
JP4607359B2 JP4607359B2 (en) 2011-01-05

Family

ID=18931930

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2001074719A Expired - Fee Related JP4607359B2 (en) 2001-03-15 2001-03-15 Credit risk assessment method and system

Country Status (1)

Country Link
JP (1) JP4607359B2 (en)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20040073046A (en) * 2003-02-13 2004-08-19 한국신용평가정보주식회사 Risk and relationship manager system with on-line
JP2009048236A (en) * 2007-08-13 2009-03-05 Chugoku Electric Power Co Inc:The Bankruptcy probability calculation system, method, and program
KR100962974B1 (en) 2010-02-24 2010-06-09 대한주택보증주식회사 Monitoring system and method for cash flow of an enterprise having places of construction business
WO2012048234A2 (en) * 2010-10-07 2012-04-12 Morgan Stanley System and method for risk monitoring of rated legal entities
JP6470617B2 (en) * 2015-03-31 2019-02-13 山▲崎▼システム・コンサルティング株式会社 Program, method, and information processing apparatus
JP7300254B2 (en) * 2018-10-22 2023-06-29 フリー株式会社 Apparatus, method and program for determining loan conditions
WO2021234814A1 (en) * 2020-05-19 2021-11-25 山▲崎▼システム・コンサルティング株式会社 Program, method, and information processing device for predicting average of interest rate that can fluctuate
CN112862605B (en) * 2021-04-26 2022-06-24 广东浩迪智云技术有限公司 Enterprise operation abnormity prompting method and system based on electricity consumption data
CN114118526A (en) * 2021-10-29 2022-03-01 中国建设银行股份有限公司 Enterprise risk prediction method, device, equipment and storage medium
CN115330531B (en) * 2022-09-05 2023-12-22 南方电网数字电网研究院有限公司 Enterprise risk prediction method based on electricity consumption fluctuation period

Similar Documents

Publication Publication Date Title
Kapinos et al. A top-down approach to stress-testing banks
Banker et al. Implications of impairment decisions and assets' cash-flow horizons for conservatism research
Ljungqvist et al. On the decision to go public: Evidence from privately-held firms
Han et al. Informed bond trading, corporate yield spreads, and corporate default prediction
Cheng et al. The Role of RBC, Hurricane Exposure, Bond Portfolio Duration, and Macroeconomic and Industry‐wide Factors in Property–Liability Insolvency Prediction
US8775291B1 (en) Systems and methods for enrichment of data relating to consumer credit collateralized debt and real property and utilization of same to maximize risk prediction
Chiang et al. A note on board characteristics, ownership structure and default risk in T aiwan
Gatti et al. Measuring value‐at‐risk in project finance transactions
Tao Assessing local government debt risks in China: A case study of local government financial vehicles
CN110363659A (en) A kind of risk-assessment method based on block chain technology
US20190318428A1 (en) Environmental, social and corporate governance linked debt instruments
JP2002279174A5 (en)
Dharmapala The economics of corporate and business tax reform
Ren et al. How does climate policy uncertainty affect excessive corporate debt? The case of China
Lee Funds statements and cash flow analysis
US9892461B2 (en) Methods and systems for assessing underwriting and distribution risks associated with subordinate debt
KR20170037299A (en) System and Method for Real time based Credit Risk Analysis using the Integrated Account Information
Zeng Research on risk measurement and early warning of electronic banking business based on gmdh algorithm
Luo et al. Pricing Chinese convertible bonds with default intensity by Monte Carlo method
Kim Shareholder recovery and leverage
Mamun et al. Industry merger intensity and cost of capital
Yayla et al. Financial stability of the Turkish banking sector
Chen et al. Re-Default Risk of Modified Mortgages.
Andries et al. Convergence of bank efficiency in emerging markets: The Central and Eastern European countries’ experience
Fukao How Japanese subsidiaries in Asia responded to the regional crisis: an empirical analysis based on the MITI survey