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Periodic Dynamic Conditional Correlations between Stock Markets in Europe and the US

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  • Christos S. Savva
  • Denise R. Osborn
  • Len Gill

Abstract

This study extends the dynamic conditional correlation model to allow day-specific correlations of shocks across international stock markets. The properties of the resulting periodic dynamic conditional correlation (PDCC) model are examined, with the model then applied to study the intra-week interactions between six developed European stock markets and the US over the period 1993 - 2005. We find very strong evidence of periodic effects in the conditional correlations of the shocks. The highest correlations are generally observed on Thursdays, with these Thursday correlations in some cases being twice those on Monday or Tuesday. Prior to estimating the PDCC model, periodic mean and volatility effects are removed using a PAR model for returns combined with a periodic EGARCH specification for the variance equation. Strong periodic mean effects are found for returns in the French, Italian and Spanish stock markets, whereas such effects are present in volatility for all stock markets except Italy.
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  • Christos S. Savva & Denise R. Osborn & Len Gill, 2006. "Periodic Dynamic Conditional Correlations between Stock Markets in Europe and the US," The School of Economics Discussion Paper Series 0629, Economics, The University of Manchester.
    • Handle: RePEc:man:sespap:0629
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    1. Keim, Donald B & Stambaugh, Robert F, 1984. " A Further Investigation of the Weekend Effect in Stock Returns," Journal of Finance, American Finance Association, vol. 39(3), pages 819-835, July.
    2. Suk-Joong Kim & Fari Moshirian & Eliza Wu, 2018. "Dynamic Stock Market Integration Driven by the European Monetary Union: An Empirical Analysis," World Scientific Book Chapters,in: Information Spillovers and Market Integration in International Finance Empirical Analyses, chapter 10, pages 305-368 World Scientific Publishing Co. Pte. Ltd..
    3. Foster, F Douglas & Viswanathan, S, 1990. "A Theory of the Interday Variations in Volume, Variance, and Trading Costs in Securities Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(4), pages 593-624.
    4. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    5. Dick van Dijk & Haris Munandar & Christian Hafner, 2011. "The euro introduction and noneuro currencies," Applied Financial Economics, Taylor & Francis Journals, vol. 21(1-2), pages 95-116.
    6. Peiro, Amado, 1994. "Daily seasonality in stock returns : Further international evidence," Economics Letters, Elsevier, vol. 45(2), pages 227-232, June.
    7. Dubois, M. & Louvet, P., 1996. "The day-of-the-week effect: The international evidence," Journal of Banking & Finance, Elsevier, vol. 20(9), pages 1463-1484, November.
    8. Bollerslev, Tim & Ghysels, Eric, 1996. "Periodic Autoregressive Conditional Heteroscedasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(2), pages 139-151, April.
    9. Lorenzo Cappiello & Robert F. Engle & Kevin Sheppard, 2006. "Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 4(4), pages 537-572.
    10. Baillie, Richard T. & DeGennaro, Ramon P., 1990. "Stock Returns and Volatility," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(2), pages 203-214, June.
    11. M. Karanasos & J. Kim, 2003. "Moments of the ARMA--EGARCH model," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 146-166, June.
    12. Bessembinder, Hendrik & Hertzel, Michael G, 1993. "Return Autocorrelations around Nontrading Days," Review of Financial Studies, Society for Financial Studies, vol. 6(1), pages 155-189.
    13. Ghysels,Eric & Osborn,Denise R., 2001. "The Econometric Analysis of Seasonal Time Series," Cambridge Books, Cambridge University Press, number 9780521565882.
    14. Engle, Robert F & Sheppard, Kevin K, 2001. "Theoretical and Empirical Properties of Dynamic Conditional Correlation Multivariate GARCH," University of California at San Diego, Economics Working Paper Series qt5s2218dp, Department of Economics, UC San Diego.
    15. Andrew Clare & Ian Garrett & Greg Jones, 1997. "Testing for seasonal patterns in conditional return volatility: evidence from Asia-Pacific markets," Applied Financial Economics, Taylor & Francis Journals, vol. 7(5), pages 517-523.
    16. Osborn, Denise R., 1991. "The implications of periodically varying coefficients for seasonal time-series processes," Journal of Econometrics, Elsevier, vol. 48(3), pages 373-384, June.
    17. French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
    18. Rogalski, Richard J, 1984. " New Findings Regarding Day-of-the-Week Returns over Trading and Non-trading Periods: A Note," Journal of Finance, American Finance Association, vol. 39(5), pages 1603-1614, December.
    19. Mahendra Chandra, 2006. "The day-of-the-week effect in conditional correlation," Review of Quantitative Finance and Accounting, Springer, vol. 27(3), pages 297-310, November.
    20. Philip Hans Franses & Richard Paap, 2000. "Modelling day-of-the-week seasonality in the S&P 500 index," Applied Financial Economics, Taylor & Francis Journals, vol. 10(5), pages 483-488.
    21. Lakonishok, Josef & Levi, Maurice, 1982. " Weekend Effects on Stock Returns: A Note," Journal of Finance, American Finance Association, vol. 37(3), pages 883-889, June.
    22. Bénédicte Vidaillet & V. D'Estaintot & P. Abécassis, 2005. "Introduction," Post-Print hal-00287137, HAL.
    23. François Longin, 2001. "Extreme Correlation of International Equity Markets," Journal of Finance, American Finance Association, vol. 56(2), pages 649-676, April.
    24. G. Kohers & N. Kohers & V. Pandey & T. Kohers, 2004. "The disappearing day-of-the-week effect in the world's largest equity markets," Applied Economics Letters, Taylor & Francis Journals, vol. 11(3), pages 167-171.
    25. Christos Savva & Denise R Osborn & Len Gill, 2005. "Volatility, spillover Effects and Correlations in US and Major European Markets," Money Macro and Finance (MMF) Research Group Conference 2005 23, Money Macro and Finance Research Group.
    26. Kiymaz, Halil & Berument, Hakan, 2003. "The day of the week effect on stock market volatility and volume: International evidence," Review of Financial Economics, Elsevier, vol. 12(4), pages 363-380.
    27. Bala Arshanapalli & Edmond d'Ouville & Frank Fabozzi & Lorne Switzer, 2006. "Macroeconomic news effects on conditional volatilities in the bond and stock markets," Applied Financial Economics, Taylor & Francis Journals, vol. 16(5), pages 377-384.
    28. Abraham, Abraham & Ikenberry, David L., 1994. "The Individual Investor and the Weekend Effect," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(2), pages 263-277, June.
    29. Lumsdaine, Robin L, 1995. "Finite-Sample Properties of the Maximum Likelihood Estimator in GARCH(1,1) and IGARCH(1,1) Models: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 1-10, January.
    30. Penman, Stephen H., 1987. "The distribution of earnings news over time and seasonalities in aggregate stock returns," Journal of Financial Economics, Elsevier, vol. 18(2), pages 199-228, June.
    31. Jorge Brusa & Pu Liu & Craig Schulman, 2005. "Weekend Effect, 'Reverse' Weekend Effect, and Investor Trading Activities," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(7-8), pages 1495-1517.
    32. Ercan Balaban & Asli Bayar & Ozgur Berk Kan, 2001. "Stock returns, seasonality and asymmetric conditional volatility in world equity markets," Applied Economics Letters, Taylor & Francis Journals, vol. 8(4), pages 263-268.
    33. Gibbons, Michael R & Hess, Patrick, 1981. "Day of the Week Effects and Asset Returns," The Journal of Business, University of Chicago Press, vol. 54(4), pages 579-596, October.
    34. Tse, Y K & Tsui, Albert K C, 2002. "A Multivariate Generalized Autoregressive Conditional Heteroscedasticity Model with Time-Varying Correlations," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 351-362, July.
    35. Martens, Martin & Poon, Ser-Huang, 2001. "Returns synchronization and daily correlation dynamics between international stock markets," Journal of Banking & Finance, Elsevier, vol. 25(10), pages 1805-1827, October.
    36. Y. -F. Gau & M. Hau, 2004. "Public information, private information, inventory control, and volatility of intraday NTD/USD exchange rates," Applied Economics Letters, Taylor & Francis Journals, vol. 11(4), pages 263-266.
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    Cited by:

    1. Brière, Marie & Chapelle, Ariane & Szafarz, Ariane, 2012. "No contagion, only globalization and flight to quality," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1729-1744.
    2. Regnard, Nazim & Zakoïan, Jean-Michel, 2011. "A conditionally heteroskedastic model with time-varying coefficients for daily gas spot prices," Energy Economics, Elsevier, vol. 33(6), pages 1240-1251.
    3. Georgios Bampinas & Stilianos Fountas & Theodore Panagiotidis, 2016. "The day-of-the-week effect is weak: Evidence from the European real estate sector," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 40(3), pages 549-567, July.
    4. repec:eee:phsmap:v:508:y:2018:i:c:p:280-288 is not listed on IDEAS
    5. repec:spr:sistpr:v:20:y:2017:i:2:d:10.1007_s11203-016-9139-z is not listed on IDEAS
    6. repec:eee:phsmap:v:503:y:2018:i:c:p:905-915 is not listed on IDEAS
    7. Aknouche, Abdelhakim & Demmouche, Nacer & Touche, Nassim, 2018. "Bayesian MCMC analysis of periodic asymmetric power GARCH models," MPRA Paper 91136, University Library of Munich, Germany.
    8. Aknouche, Abdelhakim, 2013. "Periodic autoregressive stochastic volatility," MPRA Paper 69571, University Library of Munich, Germany, revised 2015.
    9. Iglesias, Emma M., 2015. "Value at Risk and expected shortfall of firms in the main European Union stock market indexes: A detailed analysis by economic sectors and geographical situation," Economic Modelling, Elsevier, vol. 50(C), pages 1-8.
    10. Aknouche, Abdelhakim & Al-Eid, Eid & Demouche, Nacer, 2016. "Generalized quasi-maximum likelihood inference for periodic conditionally heteroskedastic models," MPRA Paper 75770, University Library of Munich, Germany, revised 19 Dec 2016.
    11. repec:spr:sistpr:v:21:y:2018:i:3:d:10.1007_s11203-017-9160-x is not listed on IDEAS

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