Post by Sapphire Capital on Jul 11, 2008 7:25:07 GMT 4
Backtesting Trading Risk of Commercial Banks Using Expected Shortfall
WOON K. WONG
IMRU, Cardiff Business School
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Journal of Banking and Finance, Forthcoming
Abstract:
This paper uses saddlepoint technique to backtest the trading risk of commercial banks using expected shortfall. It is found that four out of six US commercial banks have excessive trading risks. Monte Carlo simulation studies show that the proposed backtest is very accurate and powerful even for small test samples. More importantly, risk managers can carry out the proposed backtest based on any number of exceptions, so that incorrect risk models can be promptly detected before any further huge losses are realized.
papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID1134383_code896753.pdf?abstractid=1134383&mirid=2
WOON K. WONG
IMRU, Cardiff Business School
--------------------------------------------------------------------------------
Journal of Banking and Finance, Forthcoming
Abstract:
This paper uses saddlepoint technique to backtest the trading risk of commercial banks using expected shortfall. It is found that four out of six US commercial banks have excessive trading risks. Monte Carlo simulation studies show that the proposed backtest is very accurate and powerful even for small test samples. More importantly, risk managers can carry out the proposed backtest based on any number of exceptions, so that incorrect risk models can be promptly detected before any further huge losses are realized.
papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID1134383_code896753.pdf?abstractid=1134383&mirid=2