Continuous‐time models, realized volatilities, and testable distributional implications for daily stock returns
- 27 January 2010
- journal article
- research article
- Published by Wiley in Journal of Applied Econometrics
- Vol. 25 (2) , 233-261
- https://doi.org/10.1002/jae.1105
Abstract
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- Econometric analysis of jump-driven stochastic volatility modelsJournal of Econometrics, 2011
- Activity signature functions for high-frequency data analysisJournal of Econometrics, 2009
- A discrete-time model for daily S & P500 returns and realized variations: Jumps and leverage effectsJournal of Econometrics, 2008
- High-Frequency Returns, Jumps and the Mixture of Normals HypothesisSSRN Electronic Journal, 2006
- There's More to Volatility than VolumeSSRN Electronic Journal, 2005
- Testing normality: a GMM approachJournal of Econometrics, 2005
- Testing the mixture‐of‐distributions hypothesis using “realized” volatilityJournal of Futures Markets, 2003
- Alternative models for stock price dynamicsJournal of Econometrics, 2003
- Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate ForecastsInternational Economic Review, 1998
- Return Volatility and Trading Volume: An Information Flow Interpretation of Stochastic VolatilityThe Journal of Finance, 1996