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 Threshold Stochastic Volatility Model Author info | Abstract | Publisher info | Download info | Related research | Statistics So, Mike K P
Li, W K
Lam, K
This article introduces a new model to capture simultaneously the mean and variance asymmetries in time series. Threshold non-linearity is incorporated into the mean and variance specifications of a stochastic volatility model. Bayesian methods are adopted for parameter estimation. Forecasts of volatility and Value-at-Risk can also be obtained by sampling from suitable predictive distributions. Simulations demonstrate that the apparent variance asymmetry documented in the literature can be due to the neglect of mean asymmetry. Strong evidence of the mean and variance asymmetries was detected in U.S. and Hong Kong data. Asymmetry in the variance persistence was also discovered in the Hong Kong stock market. Copyright © 2002 by John Wiley & Sons, Ltd.
To our knowledge, this item is not available for
download . To find whether it is available, there are three
options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page
whether it is in fact available.
3. Perform a search for a similarly titled item that would be
available.
Article provided by John Wiley & Sons, Ltd. in its journal Journal of Forecasting .
Volume (Year): 21 (2002)
Issue (Month): 7 (November)
Pages: 473-500
Download reference. The following formats are available: HTML
(with abstract ),
plain text
(with abstract ),
BibTeX ,
RIS (EndNote, RefMan, ProCite),
ReDIF
Handle: RePEc:jof:jforec:v:21:y:2002:i:7:p:473-500Contact details of provider: Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/2966
For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).
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.)Manabu Asai & Michael McAleer, 2005.
"Asymmetric Multivariate Stochastic Volatility ,"
DEA Working Papers
12, Universitat de les Illes Balears, Departament d'Economía Aplicada.
[Downloadable!]
Aliou Diop & Dominique Guegan, 2005.
"tail behavior of a threshold autoregressive stochastic volatility model ,"
Post-Print
halshs-00188530_v1, HAL.
[Downloadable!]
Matthew C. Li, 2003.
"Wealth, Volume and Stock Market Volatility: Case of Hong Kong (1993-2001) ,"
Trinity Economics Papers
20035, Trinity College Dublin, Department of Economics.
[Downloadable!]
María José Rodríguez & Esther Ruiz, 2009.
"GARCH models with leverage effect : differences and similarities ,"
Statistics and Econometrics Working Papers
ws090302, Universidad Carlos III, Departamento de Estadística y Econometría.
[Downloadable!]
Adam Clements & Scott White, 2005.
"Non-linear filtering with state dependant transition probabilities: A threshold (size effect) SV model ,"
School of Economics and Finance Discussion Papers and Working Papers Series
191, School of Economics and Finance, Queensland University of Technology.
[Downloadable!]
Hisashi Tanizaki & Shigeyuki Hamori, 2009.
"Volatility transmission between Japan, UK and USA in daily stock returns ,"
Empirical Economics ,
Springer, vol. 36(1), pages 27-54, February.
[Downloadable!] (restricted)
Esther Ruiz & Helena Veiga, 2006.
"Modelling Long-Memory Volatilities With Leverage Effect: Almsv Versus Fiegarch ,"
Statistics and Econometrics Working Papers
ws066016, Universidad Carlos III, Departamento de Estadística y Econometría.
[Downloadable!]
Other versions:
Access and
download statistics Did you know? It is the publishers that input data about their publications, as there is no staff at RePEc.
This page was last updated on 2009-12-10.
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 .