Early Detection Techniques for Market Risk Failure
AbstractThe implementation of appropriate statistical techniques (backtesting) for monitoring conditional VaR models is the mechanism used by financial institutions to determine the severity of departures of the VaR model from market results and subsequently, the tool used by regulators to determine the penalties imposed for inadequate risk models. So far, however, there has been no attempt to determine the timing of this rejection and with it to obtain some guidance regarding the cause of failure in reporting an appropriate VaR. This paper corrects this by proposing U-statistic type processes that extend standard CUSUM statistics widely employed for change-point detection. In contrast to CUSUM statistics these new tests are indexed by certain weight functions that enhance their statistical power to detect the timing of the market risk model failure. These tests are robust to estimation risk and can be devised to be very sensitive to detection of market failure produced early in the out-of-sample evaluation period, in which standard methods usually fail due to the absence of data.
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Bibliographic InfoArticle provided by De Gruyter in its journal Studies in Nonlinear Dynamics & Econometrics.
Volume (Year): 15 (2011)
Issue (Month): 4 (September)
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Web page: http://www.degruyter.com
Other versions of this item:
- Olmo, J. & Pouliot, W., 2008. "Early Detection Techniques for Market Risk Failure," Working Papers, Department of Economics, City University London 08/09, Department of Economics, City University London.
- 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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