Skip to Main content Skip to Navigation
Journal articles

The Pernicious Effects of Contaminated Data in Risk Management

Abstract : Banks hold capital to guard against unexpected surges in losses and long freezes in financial markets. The minimum level of capital is set by banking regulators as a function of the banks' own estimates of their risk exposures. As a result, a great challenge for both banks and regulators is to validate internal risk models. We show that a large fraction of US and international banks uses contaminated data when testing their models. In particular, most banks validate their market risk model using profit-and-loss (P/L) data that include fees and commissions and intraday trading revenues. This practice is inconsistent with the definition of the employed market risk measure. Using both bank data and simulations, we find that data contamination has dramatic implications for model validation and can lead to the acceptance of misspecified risk models. Moreover, our estimates suggest that the use of contaminated data can significantly reduce (market-risk induced) regulatory capital.
Document type :
Journal articles
Complete list of metadata
Contributor : Antoine Haldemann Connect in order to contact the contributor
Submitted on : Saturday, October 8, 2011 - 4:49:18 PM
Last modification on : Saturday, June 25, 2022 - 10:52:45 AM

Links full text





Christophe Pérignon, Laurent Fresard, Anders Wilhelmsson. The Pernicious Effects of Contaminated Data in Risk Management. Journal of Banking and Finance, Elsevier, 2011, 35 (10), pp.2569-2583. ⟨10.1016/j.jbankfin.2011.02.013⟩. ⟨hal-00630301⟩



Record views