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Measuring Tail Risk

Authors: Maik Dierkes; Fabian Hollstein; Marcel Prokopczuk; Christoph Wuersig;

Measuring Tail Risk

Abstract

In this study we comprehensively investigate the usefulness of the tail risk measures proposed in the literature, evaluating the tail risk measures on the basis of their statistical and economic validity. Our main conclusion is that the option-implied measure of Bollerslev and Todorov (2011b) outperforms all others. It performs well for all tests and can predict not only the occurrence but also the size of future crash events. In addition, the measure is priced in the market: it predicts returns both in the time-series and in the cross-section. Finally, it also has an impact on real economic activity.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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