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Forecasting the Volatility of Australian Stock Returns: Do Common Factors Help? Author info | Abstract | Publisher info | Download info | Related research | Statistics Anderson, Heather M.
Vahid, Farshid
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Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics .
Volume (Year): 25 (2007)
Issue (Month): (January)
Pages: 76-90
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Handle: RePEc:bes:jnlbes:v:25:y:2007:p:76-90Contact details of provider: Web page: http://www.amstat.org/publications/jbes/index.cfm?fuseaction=main
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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.: Torben G. Andersen & Tim Bollerslev & Francis X. Diebold, 2003.
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Bollerslev, Tim, 1990.
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Vahid, F & Engle, Robert F, 1993.
"Common Trends and Common Cycles ,"
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Other versions: Ole E. Barndorff-Nielsen, 2004.
"Power and Bipower Variation with Stochastic Volatility and Jumps ,"
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Other versions: Engle, Robert F. & Marcucci, Juri, 2006.
"A long-run Pure Variance Common Features model for the common volatilities of the Dow Jones ,"
Journal of Econometrics ,
Elsevier, vol. 132(1), pages 7-42, May.
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Vahid, Farshid & Issler, Joao Victor, 2002.
"The importance of common cyclical features in VAR analysis: a Monte-Carlo study ,"
Journal of Econometrics ,
Elsevier, vol. 109(2), pages 341-363, August.
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Vahid, F. & Issler, J.V., 2001.
"The Importance Of Common Cyclical Features in VAR Analysis: A Monte-Carlo Study ,"
Monash Econometrics and Business Statistics Working Papers
2/2001, Monash University, Department of Econometrics and Business Statistics.
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"The Importance of Common Cyclical Features in VAR Analysis: A Monte-Carlo Study ,"
Economics Working Papers (Ensaios Economicos da EPGE)
417, Graduate School of Economics, Getulio Vargas Foundation (Brazil).
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"State space modeling of multiple time series ,"
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Catherine Doz & Éric Renault, 2004.
"Conditionally Heteroskedastic Factor Models: Identification and Instrumental Variables Estimation ,"
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Engle, Robert F & Kozicki, Sharon, 1993.
"Testing for Common Features: Reply ,"
Journal of Business & Economic Statistics ,
American Statistical Association, vol. 11(4), pages 393-95, October.
Kapetanios, George & Marcellino, Massimiliano, 2006.
"A Parametric Estimation Method for Dynamic Factor Models of Large Dimensions ,"
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Other versions: Jushan Bai & Serena Ng, 2002.
"Determining the Number of Factors in Approximate Factor Models ,"
Econometrica ,
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Other versions: Harvey, Andrew & Ruiz, Esther & Shephard, Neil, 1994.
"Multivariate Stochastic Variance Models ,"
Review of Economic Studies ,
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Gael M. Martin & Andrew Reidy & Jill Wright, 2009.
"Does the option market produce superior forecasts of noise-corrected volatility measures? ,"
Journal of Applied Econometrics ,
John Wiley & Sons, Ltd., vol. 24(1), pages 77-104.
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Other versions: Vyacheslav Abramov & Fima Klebaner, 2007.
"Estimation and Prediction of a Non-Constant Volatility ,"
Asia-Pacific Financial Markets ,
Springer, vol. 14(1), pages 1-23, March.
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Barry Eichengreen & Ashoka Mody & Milan Nedeljkovic & Lucio Sarno, 2009.
"How the Subprime Crisis Went Global: Evidence from Bank Credit Default Swap Spreads ,"
NBER Working Papers
14904, National Bureau of Economic Research, Inc.
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Torben G. Andersen & Tim Bollerslev & Xin Huang, 2007.
"A Reduced Form Framework for Modeling Volatility of Speculative Prices based on Realized Variation Measures ,"
CREATES Research Papers
2007-14, School of Economics and Management, University of Aarhus.
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Abramov, Vyacheslav & Klebaner, Fima, 2006.
"Forecasting and testing a non-constant volatility ,"
MPRA Paper
207, University Library of Munich, Germany.
[Downloadable!]
Gael M. Martin & Andrew Reidy & Jill Wright, 2006.
"Assessing the Impact of Market Microstructure Noise and Random Jumps on the Relative Forecasting Performance of Option-Implied and Returns-Based Volatility ,"
Monash Econometrics and Business Statistics Working Papers
10/06, Monash University, Department of Econometrics and Business Statistics.
[Downloadable!]
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