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Modeling the distribution of credit losses with observable and latent factors Author info | Abstract | Publisher info | Download info | Related research | Statistics Gabriel Jiménez () (Banco de España)
Javier Mencía () (Banco de España)
This paper develops a flexible and computationally efficient model to estimate the credit loss distribution of the loans in a banking system. We consider a sectorial structure, where default frequencies and the total number of loans are allowed to depend on macroeconomic conditions as well as on unobservable credit risk factors, which can capture contagion effects between sectors. In addition, we also model the distributions of the Exposure at Default and the Loss Given Default. We apply our model to the Spanish credit market, where we find that sectorial default frequencies are affected by a persistent latent factor. Finally, we also identify the potentially riskier sectors and perform stress tests.
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Paper provided by Banco de España in its series Banco de España Working Papers with number
0709.
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Length: 49 pages
Date of creation: Apr 2007Date of revision:
Handle: RePEc:bde:wpaper:0709Contact details of provider: Email: Web page: http://www.bde.es/ More information through EDIRC
For technical questions regarding this item, or to correct its listing, contact: (María D. González. Electronic Dissemination of Information Unit. Research Department. Banco de España).
Keywords: credit risk ; probability of default ; loss distribution ; stress test ; contagion ; Other versions of this item:
Find related papers by JEL classification: G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Mortgages E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation
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