Non-stationary Variance and Volatility Causality
AbstractThis paper aims to describe bias estimates when non-stationary variance is not detected. We first present a theoretical multivariate GARCH model with structural changes in variance. Then we describe the non-stationary variance and Volatility Causality in the case of the US and the three developed Asian stock markets Japan, Hong Kong and Singapore. Daily data are used for the period May 30th 2002 until June 29th 2010.
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Bibliographic InfoArticle provided by AccessEcon in its journal Economics Bulletin.
Volume (Year): 30 (2010)
Issue (Month): 4 ()
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Multivariate GARCH; Non linear VAR; Mean spillover; Volatility spillover; Structural break in variance; Market Co-movement.;
Find related papers by JEL classification:
- G1 - Financial Economics - - General Financial Markets
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
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.:
- Andreu Sansó & Vicent Aragó & Josep Lluís Carrion, 2003. "Testing for Changes in the Unconditional Variance of Financial Time Series," DEA Working Papers 5, Universitat de les Illes Balears, Departament d'Economía Aplicada.
- Kamel Malik Bensafta & Gervasio Semedo, 2014. "Transmission de la volatilité et Central-Banking," Working Papers halshs-01012058, HAL.
- Sinem Derindere KOSEOGLU & Emrah Ismail CEVIK, 2013. "Testing for Causality in Mean and Variance between the Stock Market and the Foreign Exchange Market: An Application to the Major Central and Eastern European Countries," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(1), pages 65-86, March.
- Kamel Malik Bensafta, 2014. "A Regional Analysis of Markets Uncertainty Spillovers," Working Papers halshs-01015435, HAL.
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