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Vega Risk and the Smile

Authors: Allan Malz;

Vega Risk and the Smile

Abstract

Vega risk can be a large part of the risk of a portfolio containing options. Any market participant owning option positions should be able to compute that risk. Vega risk is analytically easy to “nest” into the standard risk management framework. The treatment of vega risk in portfolios is, however, often impeded by the lack of availability of data on option implied volatilities. Vega risk is also complicated by the prevalence of volatility smiles and term structures in most option markets. Volatility smiles, in spite of their occasionally treacherous effects on option books, are often neglected by risk managers. This paper provides a guide to incorporating vega risk into a “classical” value-at-risk (VaR) model. The paper includes a tractable approach to capturing the effects of the volatility smile and term structure on vega risk and their interaction with other risk factors. In our discussion, we will present several examples using a high-quality database of foreign exchange implied volatilities.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
4
Average
Top 10%
Average
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