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Modelling and calibration errors in measures of portfolio credit risk
Tarashev, Nikola A. (Author), Zhu, Haibin (Author)

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Abstract
This paper develops an empirical procedure for analyzing the impact of model misspecification and calibration errors on measures of portfolio credit risk. When applied to large simulated portfolios with realistic characteristics, this procedure reveals that violations of key assumptions of the well-known Asymptotic Single-Risk Factor (ASRF) model are virtually inconsequential. By contrast, flaws in the calibrated interdependence of credit risk across exposures, which are driven by plausible small-sample estimation errors or popular rule-of-thumb values of asset return correlations, can lead to significant inaccuracies in measures of portfolio credit risk. Similar inaccuracies arise under erroneous, albeit standard, assumptions regarding thetails of the distribution of asset returns.

Language:English
Keywords:trg kapitala, portfolio, vrednotenje, napake, simulacija, krediti, tveganje, capital market, portfolio, valuation, errors, simulation, credit, risk
Work type:Not categorized (r6)
Organization:EF - Faculty of Economics
Year:2007
Publisher:Bank for International Settlements, Monetary and Economic Department
Number of pages:38 str.
Place:Basel
UDC:336
COBISS.SI-ID:17261030 Link is opened in a new window
Views:529
Downloads:130
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