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International stock markets interactions and conditional correlations

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  • Savva, Christos S.

Abstract

This paper investigates the transmission of price and volatility spillovers across the US and European stock markets in bivariate combinations. The framework used encompasses the most popular multivariate GARCH models, with News Impact Surfaces employed for interpretation. By using synchronous data the dynamic conditional correlation model (Engle, R., 2002. Dynamic conditional correlation: a simple class of multivariate GARCH models. Journal of Business and Economic Statistics 20, 339-350) is found to best capture the relationships for over half of the bivariate combinations of markets. Other findings include volatility spillovers from the US to European markets, and a reverse spillover. In addition, the magnitude of the correlation between markets is higher not only for negative shocks in both markets, but also when a combination of shocks of opposite signs occurs.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of International Financial Markets, Institutions and Money.

Volume (Year): 19 (2009)
Issue (Month): 4 (October)
Pages: 645-661

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Handle: RePEc:eee:intfin:v:19:y:2009:i:4:p:645-661

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Web page: http://www.elsevier.com/locate/intfin

Related research

Keywords: Multivariate GARCH models News impact surfaces Asymmetric volatility;

References

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  1. Robert F. Engle & Victor K. Ng, 1991. "Measuring and Testing the Impact of News on Volatility," NBER Working Papers 3681, National Bureau of Economic Research, Inc.
  2. Hardouvelis, Gikas A & Malliaropoulos, Dimitrios & Priestley, Richard, 1999. "EMU and European Stock Market Integration," CEPR Discussion Papers 2124, C.E.P.R. Discussion Papers.
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  12. 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.
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  17. Bollerslev, Tim & Engle, Robert F & Wooldridge, Jeffrey M, 1988. "A Capital Asset Pricing Model with Time-Varying Covariances," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 116-31, February.
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Citations

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Cited by:
  1. Tse, Chin-Bun & Rodgers, Timothy & Niklewski, Jacek, 2014. "The 2007 financial crisis and the UK residential housing market: Did the relationship between interest rates and house prices change?," Economic Modelling, Elsevier, vol. 37(C), pages 518-530.
  2. Wahab, Mahmoud, 2012. "Asymmetric effects of U.S. stock returns on European equities," International Review of Economics & Finance, Elsevier, vol. 21(1), pages 156-172.
  3. Nicolau, Mihaela, 2010. "Financial Markets Interactions between Economic Theory and Practice," MPRA Paper 27322, University Library of Munich, Germany.
  4. Zanotti, Giovanna & Gabbi, Giampaolo & Geranio, Manuela, 2010. "Hedging with futures: Efficacy of GARCH correlation models to European electricity markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(2), pages 135-148, April.
  5. Menezes, Rui & Dionísio, Andreia & Hassani, Hossein, 2012. "On the globalization of stock markets: An application of Vector Error Correction Model, Mutual Information and Singular Spectrum Analysis to the G7 countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(4), pages 369-384.
  6. Rui Menezes & Andreia Dioniso, 2011. "Globalization and long-run co-movements in the stock market for the G7: an application of VECM under structural breaks," Papers 1101.4093, arXiv.org.
  7. Xiuping Mao & Esther Ruiz & Helena Veiga, 2013. "One for all : nesting asymmetric stochastic volatility models," Statistics and Econometrics Working Papers ws131110, Universidad Carlos III, Departamento de Estadística y Econometría.
  8. Gębka, Bartosz & Karoglou, Michail, 2013. "Have the GIPSI settled down? Breaks and multivariate stochastic volatility models for, and not against, the European financial integration," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3639-3653.
  9. Abu Bakar, Norhidayah & Masih, Abul Mansur M., 2014. "The Dynamic Linkages between Islamic Index and the Major Stock Markets: New Evidence from Wavelet time-scale decomposition Analysis," MPRA Paper 56977, University Library of Munich, Germany.
  10. Kohonen, Anssi, 2013. "On detection of volatility spillovers in overlapping stock markets," Journal of Empirical Finance, Elsevier, vol. 22(C), pages 140-158.
  11. Ekin Tokat & Hakkı Arda Tokat, 2010. "Shock and Volatility Transmission in the Futures and Spot Markets: Evidence from Turkish Markets," Emerging Markets Finance and Trade, M.E. Sharpe, Inc., vol. 46(4), pages 92-104, January.
  12. Lean, Hooi Hooi & Teng, Kee Tuan, 2013. "Integration of world leaders and emerging powers into the Malaysian stock market: A DCC-MGARCH approach," Economic Modelling, Elsevier, vol. 32(C), pages 333-342.
  13. Erdogan, Oral & Tata, Kenan & Karahasan, B. Can & Sengoz, M. Hakan, 2013. "Dynamics of the co-movement between stock and maritime markets," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 282-290.
  14. Kohonen, Anssi, 2012. "On detection of volatility spillovers in simultaneously open stock markets," MPRA Paper 37504, University Library of Munich, Germany.

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