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Stock exchange integration and price jump risks - The case of the OMX Nordic exchange mergers

Author

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  • Liu, Yuna

    (Department of Economics, Umeå University)

Abstract

The impact of the stock market mergers that took place in the Nordic countries during 2000 – 2007 on the probabilities for stock price jumps, i.e. for relatively extreme price movements, are studied. The main finding is that stock market mergers, on average, reduce the likelihood of observing stock price jumps. The effects are asymmetric in the sense that the probability of sudden price jumps is reduced for large and medium size firms whereas the effect is ambiguous for small size firms. The results also indicate that the market risk has been reduced after the stock market consolidations took place.

Suggested Citation

  • 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.
    • Handle: RePEc:hhs:umnees:0925
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    References listed on IDEAS

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    1. Ole E. Barndorff-Nielsen & Neil Shephard, 2006. "Econometrics of Testing for Jumps in Financial Economics Using Bipower Variation," Journal of Financial Econometrics, Oxford University Press, vol. 4(1), pages 1-30.
    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. Hellström, Jörgen & Soultanaeva, Albina, 2010. "The Impact of Stock Market Jumps on Time-Varying Return Correlations: Empirical Evidence from the Baltic Countries," Umeå Economic Studies 816, Umeå University, Department of Economics.
    4. Xin Huang & George Tauchen, 2005. "The Relative Contribution of Jumps to Total Price Variance," Journal of Financial Econometrics, Oxford University Press, vol. 3(4), pages 456-499.
    5. Chan, Wing H & Maheu, John M, 2002. "Conditional Jump Dynamics in Stock Market Returns," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 377-389, July.
    6. 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.
    7. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    8. Am鬩e Charles & Olivier Darn頍 & Jae H. Kim & Etienne Redor, 2016. "Stock exchange mergers and market efficiency," Applied Economics, Taylor & Francis Journals, vol. 48(7), pages 576-589, February.
    9. repec:bla:jfinan:v:59:y:2004:i:2:p:755-793 is not listed on IDEAS
    10. Kim, Jae H. & Shamsuddin, Abul & Lim, Kian-Ping, 2011. "Stock return predictability and the adaptive markets hypothesis: Evidence from century-long U.S. data," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 868-879.
    11. Nielsson, Ulf, 2009. "Stock exchange merger and liquidity: The case of Euronext," Journal of Financial Markets, Elsevier, vol. 12(2), pages 229-267, May.
    12. Daal, Elton & Naka, Atsuyuki & Yu, Jung-Suk, 2007. "Volatility clustering, leverage effects, and jump dynamics in the US and emerging Asian equity markets," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2751-2769, September.
    13. J. Doyne Farmer & Laszlo Gillemot & Fabrizio Lillo & Szabolcs Mike & Anindya Sen, 2004. "What really causes large price changes?," Quantitative Finance, Taylor & Francis Journals, vol. 4(4), pages 383-397.
    14. Jérôme Lahaye & Sébastien Laurent & Christopher J. Neely, 2011. "Jumps, cojumps and macro announcements," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(6), pages 893-921, September.
    15. Philippe Jorion, 1988. "On Jump Processes in the Foreign Exchange and Stock Markets," The Review of Financial Studies, Society for Financial Studies, vol. 1(4), pages 427-445.
    16. Wing H. Chan & Denise Young, 2006. "Jumping hedges: An examination of movements in copper spot and futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 26(2), pages 169-188, February.
    17. Kim, Harold Y. & Mei, Jianping P., 2001. "What makes the stock market jump? An analysis of political risk on Hong Kong stock returns," Journal of International Money and Finance, Elsevier, vol. 20(7), pages 1003-1016, December.
    18. Hellström, Jörgen & Lundgren, Jens & Yu, Haishan, 2012. "Why do electricity prices jump? Empirical evidence from the Nordic electricity market," Energy Economics, Elsevier, vol. 34(6), pages 1774-1781.
    19. Frowin Schulz & Karl Mosler, 2011. "The effect of infrequent trading on detecting price jumps," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(1), pages 27-58, March.
    20. Suzanne S. Lee, 2012. "Jumps and Information Flow in Financial Markets," The Review of Financial Studies, Society for Financial Studies, vol. 25(2), pages 439-479.
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    More about this item

    Keywords

    Tests for jumps; International financial markets; Market structure; Integration; Common trading platform; Mergers; Acquisitions;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General

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