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Efficient estimation of drift parameters in stochastic volatility models Author info | Abstract | Publisher info | Download info | Related research | Statistics Arnaud Gloter ()
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Article provided by Springer in its journal Finance and Stochastics .
Volume (Year): 11 (2007)
Issue (Month): 4 (October)
Pages: 495-519
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Handle: RePEc:spr:finsto:v:11:y:2007:i:4:p:495-519Contact details of provider: Web page: http://www.springerlink.com/content/101164/
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For technical questions regarding this item, or to correct its listing, contact: (Christopher F Baum).
Keywords: Stochastic volatility model ; Microstructure noise ; Integrated volatility ; Realized volatility ; Efficient estimator ; C13 ; C15 ; 62F12 ; 62M09 ; Other versions of this item:
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Yoshida, Nakahiro, 1992.
"Estimation for diffusion processes from discrete observation ,"
Journal of Multivariate Analysis ,
Elsevier, vol. 41(2), pages 220-242, May.
[Downloadable!] (restricted)
Ai[diaeresis]t-Sahalia, Yacine & Kimmel, Robert, 2007.
"Maximum likelihood estimation of stochastic volatility models ,"
Journal of Financial Economics ,
Elsevier, vol. 83(2), pages 413-452, February.
[Downloadable!] (restricted)
Ole E. Barndorff-Nielsen & Neil Shephard, 2004.
"Econometric Analysis of Realized Covariation: High Frequency Based Covariance, Regression, and Correlation in Financial Economics ,"
Econometrica ,
Econometric Society, vol. 72(3), pages 885-925, 05.
[Downloadable!] (restricted)
Hull, John C & White, Alan D, 1987.
" The Pricing of Options on Assets with Stochastic Volatilities ,"
Journal of Finance ,
American Finance Association, vol. 42(2), pages 281-300, June.
[Downloadable!] (restricted)
Bollerslev, Tim & Zhou, Hao, 2002.
"Estimating stochastic volatility diffusion using conditional moments of integrated volatility ,"
Journal of Econometrics ,
Elsevier, vol. 109(1), pages 33-65, July.
[Downloadable!] (restricted)
Other versions: Peter C.B. Phillips & Jun Yu, 2005.
"A Two-Stage Realized Volatility Approach to the Estimation for Diffusion Processes from Discrete Observations ,"
Cowles Foundation Discussion Papers
1523, Cowles Foundation, Yale University.
[Downloadable!]
Arnaud Gloter, 2006.
"Parameter Estimation for a Discretely Observed Integrated Diffusion Process ,"
Scandinavian Journal of Statistics ,
Danish Society for Theoretical Statistics, Finnish Statistical Society, Norwegian Statistical Association and Swedish Statistical Association, vol. 33(1), pages 83-104.
[Downloadable!] (restricted)
Yacine Ait-Sahalia & Robert Kimmel, 2004.
"Maximum Likelihood Estimation of Stochastic Volatility Models ,"
NBER Working Papers
10579, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted)
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