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Testing stock market linkages for Poland and Hungary: A multivariate GARCH approach

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  • Li, Hong
  • Majerowska, Ewa

Abstract

This paper examines the linkages between the emerging stock markets in Warsaw and Budapest and the established markets in Frankfurt and the U.S. By using a four-variable asymmetric GARCH-BEKK model, we find evidence of returns and volatility spillovers from the developed to the emerging markets. However, as the estimated time-varying conditional covariances and the variance decompositions indicate limited interactions among the markets, the emerging markets are weakly linked to the developed markets. The implication is that foreign investors may benefit from the reduction of risk by adding the stocks in the emerging markets to their investment portfolio.

Suggested Citation

  • Li, Hong & Majerowska, Ewa, 2008. "Testing stock market linkages for Poland and Hungary: A multivariate GARCH approach," Research in International Business and Finance, Elsevier, vol. 22(3), pages 247-266, September.
  • Handle: RePEc:eee:riibaf:v:22:y:2008:i:3:p:247-266
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    References listed on IDEAS

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    Cited by:

    1. Dorota Witkowska & Krzysztof Kompa & Aleksandra Matuszewska-Janica, 2012. "Analysis of Linkages between Central and Eastern European Capital Markets," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 12, pages 19-34.
    2. Malik, Farooq & Ewing, Bradley T., 2009. "Volatility transmission between oil prices and equity sector returns," International Review of Financial Analysis, Elsevier, vol. 18(3), pages 95-100, June.
    3. Yavas, Burhan F. & Dedi, Lidija, 2016. "An investigation of return and volatility linkages among equity markets: A study of selected European and emerging countries," Research in International Business and Finance, Elsevier, vol. 37(C), pages 583-596.
    4. Boubaker, Sabri & Jouini, Jamel, 2014. "Linkages between emerging and developed equity markets: Empirical evidence in the PMG framework," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 322-335.
    5. Guidi, Francesco & Gupta, Rakesh, 2010. "Cointegration and conditional correlations among German and Eastern Europe equity markets," MPRA Paper 21732, University Library of Munich, Germany.
    6. Jammazi, Rania, 2012. "Oil shock transmission to stock market returns: Wavelet-multivariate Markov switching GARCH approach," Energy, Elsevier, vol. 37(1), pages 430-454.
    7. repec:kap:rqfnac:v:50:y:2018:i:1:d:10.1007_s11156-017-0622-4 is not listed on IDEAS
    8. Gilenko, Evgenii & Fedorova, Elena, 2014. "Internal and external spillover effects for the BRIC countries: Multivariate GARCH-in-mean approach," Research in International Business and Finance, Elsevier, vol. 31(C), pages 32-45.
    9. Hasanov, Akram Shavkatovich & Do, Hung Xuan & Shaiban, Mohammed Sharaf, 2016. "Fossil fuel price uncertainty and feedstock edible oil prices: Evidence from MGARCH-M and VIRF analysis," Energy Economics, Elsevier, vol. 57(C), pages 16-27.
    10. Al-Hajieh, Heitham & Redhead, Keith & Rodgers, Timothy, 2011. "Investor sentiment and calendar anomaly effects: A case study of the impact of Ramadan on Islamic Middle Eastern markets," Research in International Business and Finance, Elsevier, vol. 25(3), pages 345-356, September.
    11. repec:spr:chfecr:v:4:y:2016:i:1:d:10.1186_s40589-016-0031-1 is not listed on IDEAS
    12. repec:spr:fininn:v:2:y:2016:i:1:d:10.1186_s40854-016-0021-1 is not listed on IDEAS
    13. Anand, B. & Paul, Sunil & Ramachandran, M., 2014. "Volatility Spillover between Oil and Stock Market Returns," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 49(1), pages 37-56.
    14. Cardona, Laura & Gutiérrez, Marcela & Agudelo, Diego A., 2017. "Volatility transmission between US and Latin American stock markets: Testing the decoupling hypothesis," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 115-127.
    15. Fiedor, Paweł, 2014. "Sector strength and efficiency on developed and emerging financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 180-188.
    16. Liu, Xueyong & An, Haizhong & Li, Huajiao & Chen, Zhihua & Feng, Sida & Wen, Shaobo, 2017. "Features of spillover networks in international financial markets: Evidence from the G20 countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 265-278.
    17. Papadamou, Stephanos & Sidiropoulos, Moïse & Spyromitros, Eleftherios, 2017. "Interest rate dynamic effect on stock returns and central bank transparency: Evidence from emerging markets," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 951-962.
    18. repec:zag:zirebs:v:20:y:2017:i:2:p:11-20 is not listed on IDEAS
    19. Serletis, Apostolos & Istiak, Khandokar, 2017. "Financial intermediary leverage spillovers," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 1000-1007.
    20. Wen, Xiaoqian & Guo, Yanfeng & Wei, Yu & Huang, Dengshi, 2014. "How do the stock prices of new energy and fossil fuel companies correlate? Evidence from China," Energy Economics, Elsevier, vol. 41(C), pages 63-75.
    21. Nikola Gradojević & Eldin Dobardžić, 2013. "Causality between Regional Stock Markets: A Frequency Domain Approach," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 60(5), pages 633-647, September.

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