Artikel
A note on calculating expected shortfall for discrete time stochastic volatility models
In this paper we consider the problem of estimating expected shortfall (ES) for discrete time stochastic volatility (SV) models. Specifically, we develop Monte Carlo methods to evaluate ES for a variety of commonly used SV models. This includes both models where the innovations are independent of the volatility and where there is dependence. This dependence aims to capture the well-known leverage effect. The performance of our Monte Carlo methods is analyzed through simulations and empirical analyses of four major US indices.
- Language
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Englisch
- Bibliographic citation
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Journal: Financial Innovation ; ISSN: 2199-4730 ; Volume: 7 ; Year: 2021 ; Issue: 1 ; Pages: 1-16 ; Heidelberg: Springer
- Classification
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Management
- Subject
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Expected shortfall
Stochastic volatility
Value-at-risk
- Event
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Geistige Schöpfung
- (who)
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Grabchak, Michael
Christou, Eliana
- Event
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Veröffentlichung
- (who)
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Springer
- (where)
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Heidelberg
- (when)
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2021
- DOI
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doi:10.1186/s40854-021-00254-0
- Handle
- Last update
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10.03.2025, 11:42 AM CET
Data provider
This object is provided by:
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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Grabchak, Michael
- Christou, Eliana
- Springer
Time of origin
- 2021
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