Backtesting VaR Models: An Expected Shortfall Approach
نویسندگان
چکیده
منابع مشابه
Multinomial var backtests: A simple implicit approach to backtesting expected shortfall
Under the Fundamental Review of the Trading Book (FRTB) capital charges for the trading book are based on the coherent expected shortfall (ES) risk measure, which show greater sensitivity to tail risk. In this paper it is argued that backtesting of expected shortfall or the trading book model from which it is calculated can be based on a simultaneous multinomial test of value-at-risk (VaR) exce...
متن کاملBacktesting Expected Shortfall: Accounting for Tail Risk
The Basel Committee on Banking Supervision (BIS) has recently sanctioned Expected Shortfall (ES) as the market risk measure to be used for banking regulatory purposes, replacing the well-known Value-at-Risk (V aR). This change is motivated by the appealing theoretical properties of ES as a measure of risk and the poor ones of V aR. In particular, V aR fails to control for “tail risk”. In this t...
متن کاملBacktesting trading risk of commercial banks using expected shortfall ¬リニ
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 an...
متن کاملTesting Expected Shortfall Models for Derivative Positions
In this paper we test several risk management models for computing expected shortfall for one-period hedge errors of hedged derivatives positions. Contrary to value-at-risk, expected shortfall cannot be tested using the standard binomial test, since we need information of the distribution in the tail. As derivatives positions change characteristics and thereby the size of risk exposures over ti...
متن کاملEfficient VaR and Expected Shortfall computations for nonlinear portfolios within the delta-gamma approach
We present four numerical methods to compute the Value-at-Risk and Expected Shortfall risk measure values of portfolios with financial options. The numerical methods are based on either wavelets or Fourier cosine approximations and belong to the class of Fourier inversion methods. We show that the risk measures can be efficiently calculated in terms of accuracy and CPU time. Besides, we provide...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 2006
ISSN: 1556-5068
DOI: 10.2139/ssrn.898473