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Author:Löffler, G.
Title:The effects of estimation error on measures of portfolio credit risk
Journal:Journal of Banking and Finance
2003 : AUG, VOL. 27:8, p. 1427-1453
Index terms:Stock markets
Portfolio management
Credit
Risk
Models
Language:eng
Abstract:This paper uses Monte Carlo simulations to assess the impact of noisy input parameters on the accuracy of estimated portfolio credit risk. Assumptions about input quality are derived from the distribution of historical sample statistics commonly used in default risk modelling. The resulting estimation error in the distribution of portfolio losses is considerable. Losses that are judged to occur with a probability of 0.3 percent may actually occur with a probability of 1 percent. The paper also shows that estimation error leads to biases in value at risk estimates and significance levels of backtests.
SCIMA record nr: 249359
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