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! ]
A structured variational learning approach for switching latent factor models Author info | Abstract | Publisher info | Download info | Related research | Statistics Mohamed Saidane ()
Christian Lavergne ()
Additional information is available for the following
registered author(s):
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 Springer in its journal AStA Advances in Statistical Analysis .
Volume (Year): 91 (2007)
Issue (Month): 3 (October)
Pages: 245-268
Download reference. The following formats are available: HTML
(with abstract ),
plain text
(with abstract ),
BibTeX ,
RIS (EndNote, RefMan, ProCite),
ReDIF
Handle: RePEc:spr:alstar:v:91:y:2007:i:3:p:245-268Contact details of provider: Web page: http://www.springerlink.com/link.asp?id=112915
Order Information: Web: http://link.springer.de/orders.htm
For technical questions regarding this item, or to correct its listing, contact: (Christopher F Baum).
Keywords: Factor models ; HMM ; Conditional heteroscedasticity ; EM algorithm ; Variational approximation ; 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.: French, Kenneth R. & Schwert, G. William & Stambaugh, Robert F., 1987.
"Expected stock returns and volatility ,"
Journal of Financial Economics ,
Elsevier, vol. 19(1), pages 3-29, September.
[Downloadable!] (restricted)
Sentana, Enrique, 1995.
"Quadratic ARCH Models ,"
Review of Economic Studies ,
Blackwell Publishing, vol. 62(4), pages 639-61, October.
[Downloadable!] (restricted)
Other versions: Geweke, John & Zhou, Guofu, 1996.
"Measuring the Pricing Error of the Arbitrage Pricing Theory ,"
Review of Financial Studies ,
Oxford University Press for Society for Financial Studies, vol. 9(2), pages 557-87.
[Downloadable!] (restricted)
Other versions: John Y. Campbell & Martin Lettau & Burton G. Malkiel & Yexiao Xu, 2000.
"Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk ,"
NBER Working Papers
7590, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted)
Other versions: Harvey, Andrew & Ruiz, Esther & Sentana, Enrique, 1992.
"Unobserved component time series models with Arch disturbances ,"
Journal of Econometrics ,
Elsevier, vol. 52(1-2), pages 129-157.
[Downloadable!] (restricted)
King, Mervyn & Sentana, Enrique & Wadhwani, Sushil, 1994.
"Volatility and Links between National Stock Markets ,"
Econometrica ,
Econometric Society, vol. 62(4), pages 901-33, July.
[Downloadable!] (restricted)
Other versions: Schwert, G William, 1989.
" Why Does Stock Market Volatility Change over Time? ,"
Journal of Finance ,
American Finance Association, vol. 44(5), pages 1115-53, December.
[Downloadable!] (restricted)
Other versions: Ng, Victor & Engle, Robert F. & Rothschild, Michael, 1992.
"A multi-dynamic-factor model for stock returns ,"
Journal of Econometrics ,
Elsevier, vol. 52(1-2), pages 245-266.
[Downloadable!] (restricted)
Full
references
Access and
download statistics Did you know? RePEc stands for Research Papers in Economics.
This page was last updated on 2009-11-25.
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 .