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Volatility Jumps

Bibliographic Data

ID19418622
AuthorsViktor Todorov (0000-0002-2360-7812, Northwestern University), George Tauchen (0000-0003-0518-3611, Duke University)
Year2011
Volume29
Issue3
Pages356-371
Publication date2011-07-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Business and Economic Statistics (JOURNAL)
Journal identifiersISSN: 0735-0015 • E-ISSN: 1537-2707
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1198/jbes.2010.08342
OpenAlexW4241515853
LanguageEN
Citations received10
References cited29

The article undertakes a nonparametric analysis of the high-frequency movements in stock market volatility using very finely sampled data on the VIX volatility index compiled from options data by the CBOE. We derive theoretically the link between pathwise properties of the latent spot volatility and the VIX index, such as presence of continuous martingale and/or jumps, and further show how to make statistical inference about them from the observed data. Our empirical results suggest that volatility is a pure jump process with jumps of infinite variation and activity close to that of a continuous martingale. Additional empirical work shows that jumps in volatility and price level in most cases occur together, are strongly dependent, and have opposite sign. The latter suggests that jumps are an important channel for generating leverage effect

Autoregressive conditional heteroskedasticity · Econometrics · Economics · Forward volatility · Jump · Leverage effect · Nonparametric statistics · Physics · Stochastic volatility · Volatility smile · Financial Markets and Investment Strategies · Market Dynamics and Volatility · Mathematics · Stochastic processes and financial applications

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Unique citing works10
Citations per year0.71
Citation span2012 - 2026 (15)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 10

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