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Stock exchange mergers and return co-movement: A flexible dynamic component correlations model

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  • Hellström, Jörgen
  • Liu, Yuna
  • Sjögren, Tomas

Abstract

The creation of a common cross-border stock trading platform is found, by use of a Flexible Dynamic Component Correlations (FDCC) model, to have increased long-run trends in conditional correlations between foreign and domestic stock market returns.

Suggested Citation

  • Hellström, Jörgen & Liu, Yuna & Sjögren, Tomas, 2013. "Stock exchange mergers and return co-movement: A flexible dynamic component correlations model," Economics Letters, Elsevier, vol. 121(3), pages 511-515.
    • Handle: RePEc:eee:ecolet:v:121:y:2013:i:3:p:511-515
    DOI: 10.1016/j.econlet.2013.10.001
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    References listed on IDEAS

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    1. Tano Santos & Jose A. Scheinkman, 2001. "Financial Intermediation without Exclusivity," American Economic Review, American Economic Association, vol. 91(2), pages 436-439, May.
    2. Khan, Walayet & Vieito, João Paulo, 2012. "Stock exchange mergers and weak form of market efficiency: The case of Euronext Lisbon," International Review of Economics & Finance, Elsevier, vol. 22(1), pages 173-189.
    3. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    4. Geert Bekaert & Campbell R. Harvey & Christian T. Lundblad & Stephan Siegel, 2011. "What Segments Equity Markets?," The Review of Financial Studies, Society for Financial Studies, vol. 24(12), pages 3841-3890.
    5. Colacito, Riccardo & Engle, Robert F. & Ghysels, Eric, 2011. "A component model for dynamic correlations," Journal of Econometrics, Elsevier, vol. 164(1), pages 45-59, September.
    6. Tavares, José, 2009. "Economic integration and the comovement of stock returns," Economics Letters, Elsevier, vol. 103(2), pages 65-67, May.
    7. Nielsson, Ulf, 2009. "Stock exchange merger and liquidity: The case of Euronext," Journal of Financial Markets, Elsevier, vol. 12(2), pages 229-267, May.
    8. Tom Arnold & Philip Hersch & J. Harold Mulherin & Jeffry Netter, 1999. "Merging Markets," Journal of Finance, American Finance Association, vol. 54(3), pages 1083-1107, June.
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    Citations

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    Cited by:

    1. Economou, Fotini & Gavriilidis, Konstantinos & Goyal, Abhinav & Kallinterakis, Vasileios, 2015. "Herding dynamics in exchange groups: Evidence from Euronext," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 228-244.
    2. Liu, Yuna, 2016. "Essays on Stock Market Integration - On Stock Market Efficiency, Price Jumps and Stock Market Correlations," Umeå Economic Studies 926, Umeå University, Department of Economics.
    3. Christian Espinosa-Méndez & Juan Gorigoitía & João Vieito, 2020. "Stock exchange mergers: a dynamic correlation analysis on Euronext," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 19(2), pages 81-98, May.
    4. Liu, Yuna, 2016. "Stock exchange integration and price jump risks - The case of the OMX Nordic exchange mergers," Umeå Economic Studies 925, Umeå University, Department of Economics.

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    More about this item

    Keywords

    Time-varying correlation; Long-run trend; Transitory component; C-GARCH;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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