Method of moments estimation of GO-GARCH models
AbstractWe propose a new estimation method for the factor loading matrix in generalized orthogonal GARCH (GO-GARCH) models. The method is based on eigenvectors of suitably defined sample autocorrelation matrices of squares and cross-products of returns. The method is numerically more attractive than likelihood-based estimation. Furthermore, the new method does not require strict assumptions on the volatility models of the factors, and therefore is less sensitive to model misspecification. We provide conditions for consistency of the estimator, and study its efficiency relative to maximum likelihood estimation using Monte Carlo simulations. The method is applied to European sector returns.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Econometrics.
Volume (Year): 163 (2011)
Issue (Month): 1 (July)
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Web page: http://www.elsevier.com/locate/jeconom
Multivariate GARCH Factor models Method of moments Common principal components;
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- François Longin, 2001. "Extreme Correlation of International Equity Markets," Journal of Finance, American Finance Association, vol. 56(2), pages 649-676, 04.
- Boswijk, H.P. & Weide, R. van der, 2006.
"Wake me up before you GO-GARCH,"
CeNDEF Working Papers
06-13, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
- Tim Bollerslev, 2008. "Glossary to ARCH (GARCH)," CREATES Research Papers 2008-49, School of Economics and Management, University of Aarhus.
- Sentana, Enrique & Fiorentini, Gabriele, 2001.
"Identification, estimation and testing of conditionally heteroskedastic factor models,"
Journal of Econometrics,
Elsevier, vol. 102(2), pages 143-164, June.
- Sentana, E. & Fiorentini, G., 1997. "Identification, Estimation and Testing of Conditionally Heteroskedastic Factor Model," Papers 9709, Centro de Estudios Monetarios Y Financieros-.
- Gabriele Fiorentini & Enrique Sentana Iváñez, 1997. "Identification, estimation and testing of conditionally heteroskedastic factor models," Working Papers. Serie AD 1997-22, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
- Geert Bekaert & Campbell R. Harvey & Angela Ng, 2005.
"Market Integration and Contagion,"
The Journal of Business,
University of Chicago Press, vol. 78(1), pages 39-70, January.
- Francis X. Diebold & Marc Nerlove, 1986.
"The dynamics of exchange rate volatility: a multivariate latent factor ARCH model,"
Special Studies Papers
205, Board of Governors of the Federal Reserve System (U.S.).
- Diebold, Francis X & Nerlove, Marc, 1989. "The Dynamics of Exchange Rate Volatility: A Multivariate Latent Factor Arch Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(1), pages 1-21, Jan.-Mar..
- Jensen, S ren Tolver & Rahbek, Anders, 2007. "On The Law Of Large Numbers For (Geometrically) Ergodic Markov Chains," Econometric Theory, Cambridge University Press, vol. 23(04), pages 761-766, August.
- He, Changli & Teräsvirta, Timo, 1997.
"Properties of Moments of a Family of GARCH Processes,"
Working Paper Series in Economics and Finance
198, Stockholm School of Economics.
- He, Changli & Terasvirta, Timo, 1999. "Properties of moments of a family of GARCH processes," Journal of Econometrics, Elsevier, vol. 92(1), pages 173-192, September.
- Fan, Jianqing & Wang, Mingjin & Yao, Qiwei, 2008.
"Modelling multivariate volatilities via conditionally uncorrelated components,"
Open Access publications from London School of Economics and Political Science
http://eprints.lse.ac.uk/, London School of Economics and Political Science.
- Jianqing Fan & Mingjin Wang & Qiwei Yao, 2008. "Modelling multivariate volatilities via conditionally uncorrelated components," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(4), pages 679-702.
- BAUWENS, Luc & LAURENT, Sébastien & ROMBOUTS, Jeroen VK, .
"Multivariate GARCH models: a survey,"
CORE Discussion Papers RP
-1847, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Hafner, Christian M., 2008.
"Temporal aggregation of multivariate GARCH processes,"
Journal of Econometrics,
Elsevier, vol. 142(1), pages 467-483, January.
- Hafner, C.M., 2004. "Temporal aggregation of multivariate GARCH processes," Econometric Institute Report EI 2004-29, Erasmus University Rotterdam, Econometric Institute.
- Christian M. Hafner, 2004. "Temporal aggregation of multivariate GARCH processes," Econometric Society 2004 North American Winter Meetings 538, Econometric Society.
- Lanne, Markku & Saikkonen, Pentti, 2007.
"A Multivariate Generalized Orthogonal Factor GARCH Model,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 25, pages 61-75, January.
- Lanne, Markku & Saikkonen, Pentti, 2005. "A Multivariate Generalized Orthogonal Factor GARCH Model," MPRA Paper 23714, University Library of Munich, Germany.
- Catherine Doz & Eric Renault, 2006. "Factor Stochastic Volatility in Mean Models: A GMM Approach," Econometric Reviews, Taylor and Francis Journals, vol. 25(2-3), pages 275-309.
- Robert F. Engle & Victor Ng & Michael Rothschild, 1988.
"Asset Pricing with a Factor Arch Covariance Structure: Empirical Estimates for Treasury Bills,"
NBER Technical Working Papers
0065, National Bureau of Economic Research, Inc.
- Engle, Robert F. & Ng, Victor K. & Rothschild, Michael, 1990. "Asset pricing with a factor-arch covariance structure : Empirical estimates for treasury bills," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 213-237.
- Ledoit, Olivier & Wolf, Michael, 2004. "A well-conditioned estimator for large-dimensional covariance matrices," Journal of Multivariate Analysis, Elsevier, vol. 88(2), pages 365-411, February.
- Urga, Giovanni, 2007. "Common Features in Economics and Finance: An Overview of Recent Developments," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 2-11, January.
- Christian M. Hafner, 2003. "Fourth Moment Structure of Multivariate GARCH Models," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 1(1), pages 26-54.
- Comte, F. & Lieberman, O., 2003. "Asymptotic theory for multivariate GARCH processes," Journal of Multivariate Analysis, Elsevier, vol. 84(1), pages 61-84, January.
- Roberto Rigobon, 2003. "Identification Through Heteroskedasticity," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 777-792, November.
- H. Peter Boswijk & Roy van der Weide, 2006. "Wake me up before you GO-GARCH," Tinbergen Institute Discussion Papers 06-079/4, Tinbergen Institute, revised 21 Sep 2006.
- Diaa Noureldin & Neil Shephard & Kevin Sheppard, 2012.
"Multivariate Rotated ARCH models,"
Economics Series Working Papers
594, University of Oxford, Department of Economics.
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