From stress to costress : stress testing interconnected banking systems /

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Bibliographic Details
Author / Creator:Maino, Rodolfo, 1961- author.
Imprint:[Washington, D.C.] : International Monetary Fund, 2012.
Description:1 online resource (34 pages) : illustrations
Language:English
Series:IMF working paper ; WP/12/53
IMF working paper ; WP/12/53.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12500056
Hidden Bibliographic Details
Other authors / contributors:Tintchev, Kalin, author.
International Monetary Fund. Monetary and Capital Markets Department, issuing body.
ISBN:9781475576566
1475576560
Notes:At head of title: Monetary and Capital Markets Department.
"February 2012."
Includes bibliographical references.
Summary:This paper presents an integrated framework for assessing systemic risk. The framework models banks' capital asset ratios as a function of future losses and credit growth using a generalized method of moments to calibrate shocks to credit quality and credit growth. The analysis is complemented by a simple measure of systemic risk, which captures tail risk comovement among banks in the system. The main contribution of this paper is to advance a simple framework to integrate systemic risk scenarios that assess the impact of aggregate and idiosyncratic factors. The analysis is based on CreditRisk, which uses analytical techniques - similar to those applied in the insurance industry - to estimate banks' credit portfolio loss distributions, making no assumptions about the cause of default.
Other form:Print version: Maino, Rodolfo. From Stress to CoStress: Stress Testing Interconnected Banking Systems. Washington : International Monetary Fund, ©2012 9781475502220

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100 1 |a Maino, Rodolfo,  |d 1961-  |e author.  |0 http://id.loc.gov/authorities/names/no2006115782 
245 1 0 |a From stress to costress :  |b stress testing interconnected banking systems /  |c prepared by Rodolfo Maino and Kalin Tintchev. 
260 |a [Washington, D.C.] :  |b International Monetary Fund,  |c 2012. 
300 |a 1 online resource (34 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a IMF working paper ;  |v WP/12/53 
500 |a At head of title: Monetary and Capital Markets Department. 
500 |a "February 2012." 
520 3 |a This paper presents an integrated framework for assessing systemic risk. The framework models banks' capital asset ratios as a function of future losses and credit growth using a generalized method of moments to calibrate shocks to credit quality and credit growth. The analysis is complemented by a simple measure of systemic risk, which captures tail risk comovement among banks in the system. The main contribution of this paper is to advance a simple framework to integrate systemic risk scenarios that assess the impact of aggregate and idiosyncratic factors. The analysis is based on CreditRisk, which uses analytical techniques - similar to those applied in the insurance industry - to estimate banks' credit portfolio loss distributions, making no assumptions about the cause of default. 
504 |a Includes bibliographical references. 
505 0 |a Cover; Contents; I. Introduction; II. Credit Risk Stress Testing; A. Related Literature; Figures; 1. Macro-Financial Stress Testing Framework; B. Theoretical Credit Risk Model; C. Empirical Credit Risk Model; D. Modeling Banks' Credit Portfolio Losses in CreditRisk+; Tables; 1. Macro Determinants of Credit Risk; E. Main Findings; Boxes; 1. CreditRisk+; 2. Summary Stress Test Results; 2. Slowdown Scenario: Average Portfolio Loss Distribution; III. Systemic Risk Stress Tests; A. Systemic Risk Drivers; B. Empirical Model; 3. Quantile Regression Lines; 2. Quantile Regression. 
505 8 |a C. Systemic Risk ScenariosD. Main Findings; 4. Systemic Risk Scenarios; 3. Systemic Risk Scenarios; 4. Conditional Value-at-Risk to Capital; 5. CoVaR Network Structure; IV. Sensitivity Analysis; A. Shocks; B. Methodology and Assumptions; C. Main Findings; 5. Distribution of Stress Test Results; V. Conclusion; 6. Liquidity and Z-Score Stress Test Results; Appendixes; I. Default Risk Modeling in CreditRisk+; II. Quantile Regression; References. 
650 0 |a Banks and banking  |x Risk management  |x Econometric models. 
650 0 |a Bank capital  |x Econometric models. 
650 0 |a Credit  |x Econometric models. 
650 6 |a Banques  |x Capital  |x Modèles économétriques. 
650 6 |a Crédit  |x Modèles économétriques. 
650 7 |a Bank capital  |x Econometric models.  |2 fast  |0 (OCoLC)fst00826594 
650 7 |a Credit  |x Econometric models.  |2 fast  |0 (OCoLC)fst00882527 
655 4 |a Electronic books. 
700 1 |a Tintchev, Kalin,  |e author.  |0 http://id.loc.gov/authorities/names/no2012009113 
710 2 |a International Monetary Fund.  |b Monetary and Capital Markets Department,  |e issuing body.  |0 http://id.loc.gov/authorities/names/no2006113696 
776 0 8 |i Print version:  |a Maino, Rodolfo.  |t From Stress to CoStress: Stress Testing Interconnected Banking Systems.  |d Washington : International Monetary Fund, ©2012  |z 9781475502220 
830 0 |a IMF working paper ;  |v WP/12/53.  |0 http://id.loc.gov/authorities/names/no89010263 
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