Measuring risk an explosive environment

Abstract : Financial asset bubbles can be characterized by periods of expansion and collapse. Expansions are often modeled as explosive processes for the asset price. Ignoring such explosiveness leads to misspecified Value-at-Risk (VaR) and related measures, e.g. Expected Shortfall. Considering an explosive autoregressive model. We find that the unadjusted down-side VaR is overestimated in explosive periods and also misspecified during the collapse. The form of the misspecification strongly depends on several factors: (i) horizon of the VaR forecast, (ii) duration and strength of the explosive regime (as measured by the length of the explosive subsample and the explosive root), and (iii) the nature of the collapse. The size of the effects (in terms of capital requirements) are quantified by means of an extensive Monte Carlo simulation study. We propose a correction term to be added to the VaR which accounts for the unexpected loss due to a burst. In our empirical applications, we demonstrate the merits and limits of the suggested VaR adjustments, which have to be taken into account for management purposes.
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https://halshs.archives-ouvertes.fr/halshs-01896907
Contributeur : Dominique Guégan <>
Soumis le : mardi 16 octobre 2018 - 15:51:30
Dernière modification le : mardi 6 août 2019 - 16:08:04

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  • HAL Id : halshs-01896907, version 1

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Dominique Guegan, Kruse-Becher Robin, Hans-Jörg Mettenheim, Von, Wegener Christoph. Measuring risk an explosive environment. Forecasting Financial Markets (FFM), Sep 2018, Oxford, United Kingdom. ⟨halshs-01896907⟩

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