The minimally biased backtest for ES

Carlo Acerbi, Balazs Szekely
29 Aug 2019

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Recent results have shown backtests of expected shortfall (ES) are necessarily approximated, in the sense that they are unavoidably sensitive to possible errors in the prediction of value-at-risk. Carlo Acerbi and Balazs Szekely introduce a backtest for ES that minimises such sensitivity. The bias is small: the effect is generally negligible for small VAR discrepancies. Moreover, the bias is prudential, in the sense that any imperfect VAR prediction results in a more

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The minimally biased backtest for ES

Acerbi and Szekely present a backtest for expected shortfall

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