A two-stage realized volatility approach to estimation of diffusion processes with discrete data
- 25 December 2008
- journal article
- Published by Elsevier in Journal of Econometrics
- Vol. 150 (2) , 139-150
- https://doi.org/10.1016/j.jeconom.2008.12.006
Abstract
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This publication has 32 references indexed in Scilit:
- LIMIT THEOREMS FOR BIPOWER VARIATION IN FINANCIAL ECONOMETRICSEconometric Theory, 2006
- A Tale of Two Time ScalesJournal of the American Statistical Association, 2005
- Jackknifing Bond Option PricesThe Review of Financial Studies, 2005
- Realized power variation and stochastic volatility modelsBernoulli, 2003
- Econometric Analysis of Realized Volatility and its Use in Estimating Stochastic Volatility ModelsJournal of the Royal Statistical Society Series B: Statistical Methodology, 2002
- On estimating the expected return on the market: An exploratory investigationPublished by Elsevier ,2002
- MCMC Analysis of Diffusion Models With Application to FinanceJournal of Business & Economic Statistics, 2001
- An Empirical Comparison of Alternative Models of the Short‐Term Interest RateThe Journal of Finance, 1992
- Approximate discrete-time schemes for statistics of diffusion processesStatistics, 1989
- Minimum contrast estimation in diffusion processesJournal of Applied Probability, 1979