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    Backtesting lambda value at risk

    Corbetta, J. and Peri, Ilaria (2018) Backtesting lambda value at risk. The European Journal of Finance 24 (13), pp. 1075-1087. ISSN 1351-847X.

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    Abstract

    A new risk measure, lambda value at risk (), has been recently proposed as a generalization of value at risk (VaR). appears attractive for its potential ability to solve several problems of VaR. This paper provides the first study on the backtesting of . We propose three nonparametric tests which exploit different features. Two tests are based on simple results of probability theory. One test is unilateral and is more suitable for small samples of observations. A second test is bilateral and provides an asymptotic result. A third test is based on simulations and allows for a more accurate comparison among computed with different assumptions on the asset return distribution. Finally, we perform a backtesting exercise that confirms a higher performance of in respect to VaR especially when it is estimated with distributions that better capture tail behavior.

    Metadata

    Item Type: Article
    Additional Information: This is an Accepted Manuscript of an article published by Taylor & Francis, available online at the link above.
    Keyword(s) / Subject(s): backtesting, hypothesis testing, model validation, risk management
    School: School of Business, Economics & Informatics > Economics, Mathematics and Statistics
    Depositing User: Administrator
    Date Deposited: 18 Aug 2017 10:15
    Last Modified: 12 Feb 2021 14:08
    URI: https://eprints.bbk.ac.uk/id/eprint/19407

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