This file is part of IDEAS , which uses RePEc data
[ Papers |
Articles |
Software |
Books |
Chapters |
Authors |
Institutions |
JEL Classification |
NEP reports |
Search |
New papers by email |
Author registration |
Rankings |
Volunteers |
FAQ |
Blog |
Help! ]
Quasi-maximum likelihood estimation of stochastic volatility models Author info | Abstract | Publisher info | Download info | Related research | Statistics Ruiz, Esther
No abstract is available for
this item.
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page . Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Article provided by Elsevier in its journal Journal of Econometrics .
Volume (Year): 63 (1994)
Issue (Month): 1 (July)
Pages: 289-306
Download reference. The following formats are available: HTML
(with abstract ),
plain text
(with abstract ),
BibTeX ,
RIS (EndNote, RefMan, ProCite),
ReDIF
Handle: RePEc:eee:econom:v:63:y:1994:i:1:p:289-306Contact details of provider: Web page: http://www.elsevier.com/locate/jeconom
For technical questions regarding this item, or to correct its listing, contact: (Heidi Boesdal).
Keywords: Other versions of this item:
Cited by : (explanations , 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.)PREMINGER, Arie & HAFNER, Christian M., 2006.
"Deciding between GARCH and stochastic volatility via strong decision rules ,"
CORE Discussion Papers
2006042, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
[Downloadable!]
Roman Liesenfeld & Robert C. Jung, 2000.
"Stochastic volatility models: conditional normality versus heavy-tailed distributions ,"
Journal of Applied Econometrics ,
John Wiley & Sons, Ltd., vol. 15(2), pages 137-160.
[Downloadable!]
Oleg Korenok & Stanislav Radchenko, 2005.
"The smooth transition autoregressive target zone model with the Gaussian stochastic volatility and TGARCH error terms with applications ,"
Econometrics
0508015, EconWPA.
[Downloadable!]
Other versions: Tim Bollerslev & Hao Zhou, 2001.
"Estimating stochastic volatility diffusion using conditional moments of integrated volatility ,"
Finance and Economics Discussion Series
2001-49, Board of Governors of the Federal Reserve System (U.S.).
[Downloadable!]
Other versions: Daniel B. Nelson, 1994.
"Asymptotically Optimal Smoothing with ARCH Models ,"
NBER Technical Working Papers
0161, National Bureau of Economic Research, Inc.
[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)
BAUWENS, Luc & VEREDAS, David, 1999.
"The stochastic conditional duration model: a latent factor model for the analysis of financial durations ,"
CORE Discussion Papers
1999058, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
[Downloadable!]
David S. Bates, 2003.
"Maximum Likelihood Estimation of Latent Affine Processes ,"
NBER Working Papers
9673, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted)
George J. Jiang & Pieter J. van der Sluis, 1998.
"Pricing Stock Options under Stochastic Volatility and Stochastic Interest Rates with Efficient Method of Moments Estimation ,"
Tinbergen Institute Discussion Papers
98-067/4, Tinbergen Institute.
[Downloadable!]
Guglielmo Maria Caporale & Luis A. Gil-Alana, 2005.
"Modelling Stochastic Volatility In Asset Returns Using Fractionally Integrated Semiparametric Techniques ,"
Economics and Finance Discussion Papers
05-10, Economics and Finance Section, School of Social Sciences, Brunel University.
[Downloadable!]
Other versions: M. V. Cacdac Warnock & Francis E. Warnock, 2000.
"The declining volatility of U.S. employment: was Arthur Burns right? ,"
International Finance Discussion Papers
677, Board of Governors of the Federal Reserve System (U.S.).
[Downloadable!]
Javier Gómez Biscarri & Fernando Pérez de Gracia, 2002.
"Stock Market Cycles and Stock Market Development in Spain ,"
Faculty Working Papers
01/02, School of Economics and Business Administration, University of Navarra.
[Downloadable!]
Other versions: Pieter J. van der Sluis, 1998.
"EmmPack 1.01: C/C++ Code for Use with Ox for Estimation of Univariate Stochastic Volatility Models with the Efficient Method of Moments ,"
Tinbergen Institute Discussion Papers
98-021/4, Tinbergen Institute.
[Downloadable!]
Adam Clements & Scott White, 2005.
"Nonlinear Filtering for Stochastic Volatility Models with Heavy Tails and Leverage ,"
School of Economics and Finance Discussion Papers and Working Papers Series
192, School of Economics and Finance, Queensland University of Technology.
[Downloadable!]
Jun Yu & Zhenlin Yang & Xibin Zhang, 2002.
"A Class of Nonlinear Stochastic Volatility Models and Its Implications on Pricing Currency Options ,"
Monash Econometrics and Business Statistics Working Papers
17/02, Monash University, Department of Econometrics and Business Statistics.
[Downloadable!]
Other versions: Scott I. White & Adam E. Clements & Stan Hurn, 2004.
"Discretised Non-Linear Filtering for Dynamic Latent Variable Models: with Application to Stochastic Volatility ,"
Econometric Society 2004 Australasian Meetings
46, Econometric Society.
[Downloadable!]
Access and
download statistics Did you know? You too can volunteer for RePEc, for example by encouraging others to use our services.
This page was last updated on 2009-12-9.
This information is provided to you by IDEAS at the Department of Economics , College of Liberal Arts and Sciences , University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics .