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Stock exchange mergers and weak form of market efficiency: The case of Euronext Lisbon

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  • Khan, Walayet
  • Vieito, João Paulo

Abstract

This exploratory paper is among the first to examine the impact of stock exchange mergers on informational market efficiency. We focus on the merger of Bolsa de Valores de Lisboa e Porto (Portuguese Stock Exchange) with Euronext in 2002 (that created Euronext Lisbon). To investigate this question we perform numerous statistical tests: serial correlation test (ACF test), runs test, unit root test (Kwiatkowski, Philips, Schmidt, & Shin, 1992), multiple variance ratio test (Chow & Denning, 1993) and ranks and signs test (Wright, 2000).

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  • 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.
    • Handle: RePEc:eee:reveco:v:22:y:2012:i:1:p:173-189
    DOI: 10.1016/j.iref.2011.09.005
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    1. MacDonald, R. & Power, D., 1993. "Stock prices, efficiency and cointegration: The case of the UK," International Review of Economics & Finance, Elsevier, vol. 2(3), pages 251-265.
    2. Nielsson, Ulf, 2009. "Stock exchange merger and liquidity: The case of Euronext," Journal of Financial Markets, Elsevier, vol. 12(2), pages 229-267, May.
    3. Hoque, Hafiz A.A.B. & Kim, Jae H. & Pyun, Chong Soo, 2007. "A comparison of variance ratio tests of random walk: A case of Asian emerging stock markets," International Review of Economics & Finance, Elsevier, vol. 16(4), pages 488-502.
    4. Appiah-Kusi, Joe & Menyah, Kojo, 2003. "Return predictability in African stock markets," Review of Financial Economics, Elsevier, vol. 12(3), pages 247-270.
    5. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    6. Buguk, Cumhur & Wade Brorsen, B., 2003. "Testing weak-form market efficiency: Evidence from the Istanbul Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 12(5), pages 579-590.
    7. Ojah, Kalu & Karemera, David, 1999. "Random Walks and Market Efficiency Tests of Latin American Emerging Equity Markets: A Revisit," The Financial Review, Eastern Finance Association, vol. 34(2), pages 57-72, May.
    8. Kim, Jae H. & Shamsuddin, Abul, 2008. "Are Asian stock markets efficient? Evidence from new multiple variance ratio tests," Journal of Empirical Finance, Elsevier, vol. 15(3), pages 518-532, June.
    9. Chow, K. Victor & Denning, Karen C., 1993. "A simple multiple variance ratio test," Journal of Econometrics, Elsevier, vol. 58(3), pages 385-401, August.
    10. repec:ebl:ecbull:v:7:y:2007:i:3:p:1-8 is not listed on IDEAS
    11. Wright, Jonathan H, 2000. "Alternative Variance-Ratio Tests Using Ranks and Signs," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(1), pages 1-9, January.
    12. A. I. McLeod & W. K. Li, 1983. "Diagnostic Checking Arma Time Series Models Using Squared‐Residual Autocorrelations," Journal of Time Series Analysis, Wiley Blackwell, vol. 4(4), pages 269-273, July.
    13. Ainul Islam & Mohammed Khaled, 2005. "Tests of Weak-Form Efficiency of the Dhaka Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(7-8), pages 1613-1624.
    14. Ioannis Kokkoris & Rodrigo Olivares-Caminal, 2008. "Lessons From The Recent Stock Exchange Merger Activity," Journal of Competition Law and Economics, Oxford University Press, vol. 4(3), pages 837-869.
    15. Hung, Jui-Cheng, 2009. "Deregulation and liberalization of the Chinese stock market and the improvement of market efficiency," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 843-857, August.
    16. Dicle, Mehmet F. & Beyhan, Aydin & Yao, Lee J., 2010. "Market efficiency and international diversification: Evidence from India," International Review of Economics & Finance, Elsevier, vol. 19(2), pages 313-339, April.
    17. Alexandros Milionis & Demetrios Moschos, 2000. "On the validity of the weak-form efficient markets hypothesis applied to the London stock exchange: comment," Applied Economics Letters, Taylor & Francis Journals, vol. 7(7), pages 419-421.
    18. Dat Bue Lock, 2007. "The Taiwan stock market does follow a random walk," Economics Bulletin, AccessEcon, vol. 7(3), pages 1-8.
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    5. José A. Roldán-Casas & Mª B. García-Moreno García, 2022. "A procedure for testing the hypothesis of weak efficiency in financial markets: a Monte Carlo simulation," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(5), pages 1289-1327, December.
    6. Hellström, Jörgen & Liu, Yuna & Sjögren, Tomas, 2016. "Stock exchange mergers and weak-form information efficiency: Evidence from the OMX Nordic and Baltic consolidation," Umeå Economic Studies 923, Umeå University, Department of Economics.
    7. 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.
    8. Juan Benjamín Duarte Duarte & Juan Manuel Mascare?nas Pérez-Iñigo, 2014. "Comprobación de la eficiencia débil en los principales mercados financieros latinoamericanos," Estudios Gerenciales, Universidad Icesi, November.
    9. Ni, Yensen & Day, Min-Yuh & Huang, Paoyu & Yu, Shang-Ru, 2020. "The profitability of Bollinger Bands: Evidence from the constituent stocks of Taiwan 50," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    10. 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.
    11. Yang, Ann Shawing & Pangastuti, Airin, 2016. "Stock market efficiency and liquidity: The Indonesia Stock Exchange merger," Research in International Business and Finance, Elsevier, vol. 36(C), pages 28-40.
    12. Juan Benjamín Duarte Duarte & Juan Manuel Mascareñas Pérez-Iñigo, 2014. "¿Han sido los mercados bursátiles eficientes informacionalmente?," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, June.
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    14. Aumeboonsuke, Vesarach & Dryver, Arthur L., 2014. "The importance of using a test of weak-form market efficiency that does not require investigating the data first," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 350-357.
    15. 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.
    16. 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.
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    18. Nevi Danila, 2022. "Random Walk of Socially Responsible Investment in Emerging Market," Sustainability, MDPI, vol. 14(19), pages 1-13, September.

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    More about this item

    Keywords

    Stock exchange mergers; Random walk hypothesis; Market efficiency;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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