Early Detection Techniques for Market Risk Failure
AbstractThe implementation of appropriate statistical techniques for monitoring conditional VaR models, i.e, backtesting, reported by institutions is fundamental to determine their exposure to market risk. Backtesting techniques are important since the severity of the departures of the VaR model from market results determine the penalties imposed for inadequate VaR models. In this paper we make six contributions to backtesting techniques. In particular, we show that the Kupiec test can be viewed as a combination of CUSUM change point tests; we detail the lack of power of CUSUM methods in detecting violations of VaR as soon as these occur; we develop an alternative technique based on weighted U-statistic type processes that have power against wrong specifications of the risk measure and early detection; we show these new backtesting techniques are robust to the presence of estimation risk; we construct a new class of weight functions that can be used to weight our processes; and our methods are applicable both under conditional and unconditional VaR settings.
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Bibliographic InfoPaper provided by Department of Economics, City University London in its series Working Papers with number 08/09.
Date of creation: 2008
Date of revision:
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Backtesting; Basel Accord; Change-Point tests; Conditional Quantile; Risk management; Value at Risk.;
Other versions of this item:
- Olmo Jose & Pouliot William, 2011. "Early Detection Techniques for Market Risk Failure," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(4), pages 1-55, September.
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
- G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
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