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Could the global financial crisis improve the performance of the G7 stocks markets?

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  • Vieito, João Paulo
  • Wong, Wing-Keung
  • Zhu, Zhenzhen
Abstract
Financial crises are normally associated with negative effects on financial markets. In this paper, we investigate whether the most recent Global Financial Crisis (GFC) had any positive impact on the G7 (Canada, France, Germany, Italy, Japan, the United Kingdom and the United States) indices. We carry out our investigation by employing mean-variance (MV) analysis, CAPM statistics, a runs test, a multiple variation ratio test, and stochastic dominance (SD) tests. Our MV and CAPM results conclude that most of the G7 stock indices are significantly less volatile and have a higher beta, higher Sharpe ratios and a higher Treynor’s index after the GFC. Run tests and multiple variation ratio results confirm that efficiency improved in the post-GFC period. Finally, SD results conclude that there is no arbitrage opportunity and the markets are efficient due to the GFC, and, in general, investors prefer investing in the indices after the GFC. Overall, we conclude that the GFC led to markets that are more efficient and mature, confirming that crises can also have positive impacts on stock markets.

Suggested Citation

  • Vieito, João Paulo & Wong, Wing-Keung & Zhu, Zhenzhen, 2015. "Could the global financial crisis improve the performance of the G7 stocks markets?," MPRA Paper 66521, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:66521
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    1. Kian‐Ping Lim, 2008. "Sectoral efficiency of the Malaysian stock market and the impact of the Asian financial crisis," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 25(3), pages 196-208, August.
    2. Fama, Eugene F & French, Kenneth R, 1988. "Permanent and Temporary Components of Stock Prices," Journal of Political Economy, University of Chicago Press, vol. 96(2), pages 246-273, April.
    3. Harry Markowitz, 1952. "The Utility of Wealth," Journal of Political Economy, University of Chicago Press, vol. 60(2), pages 151-151.
    4. Lean, Hooi Hooi & McAleer, Michael & Wong, Wing-Keung, 2010. "Market efficiency of oil spot and futures: A mean-variance and stochastic dominance approach," Energy Economics, Elsevier, vol. 32(5), pages 979-986, September.
    5. Jarrow, Robert, 1986. "The Relationship between Arbitrage and First Order Stochastic Dominance," Journal of Finance, American Finance Association, vol. 41(4), pages 915-921, September.
    6. Mikio Ito & Akihiko Noda & Tatsuma Wada, 2014. "International stock market efficiency: a non-Bayesian time-varying model approach," Applied Economics, Taylor & Francis Journals, vol. 46(23), pages 2744-2754, August.
    7. Dominic Gasbarro & Wing-Keung Wong & J. Kenton Zumwalt, 2007. "Stochastic Dominance Analysis of iShares," The European Journal of Finance, Taylor & Francis Journals, vol. 13(1), pages 89-101.
    8. Thomas Busch & Thorsten Lehnert, 2014. "The impact of policy responses on stock liquidity," Applied Economics Letters, Taylor & Francis Journals, vol. 21(12), pages 842-845, August.
    9. Wong, Wing-Keung & Phoon, Kok Fai & Lean, Hooi Hooi, 2008. "Stochastic dominance analysis of Asian hedge funds," Pacific-Basin Finance Journal, Elsevier, vol. 16(3), pages 204-223, June.
    10. Aït-Sahalia, Yacine & Andritzky, Jochen & Jobst, Andreas & Nowak, Sylwia & Tamirisa, Natalia, 2012. "Market response to policy initiatives during the global financial crisis," Journal of International Economics, Elsevier, vol. 87(1), pages 162-177.
    11. Hadar, Josef & Russell, William R, 1974. "Decision making with stochastic dominance: An expository review," Omega, Elsevier, vol. 2(3), pages 365-377, June.
    12. Wing-Keung Wong & Chenghu Ma, 2008. "Preferences over location-scale family," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 37(1), pages 119-146, October.
    13. Wong, Wing-Keung, 2007. "Stochastic dominance and mean-variance measures of profit and loss for business planning and investment," European Journal of Operational Research, Elsevier, vol. 182(2), pages 829-843, October.
    14. 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.
    15. Chow, K. Victor & Denning, Karen C., 1993. "A simple multiple variance ratio test," Journal of Econometrics, Elsevier, vol. 58(3), pages 385-401, August.
    16. 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.
    17. Horta, Paulo & Lagoa, Sérgio & Martins, Luís, 2014. "The impact of the 2008 and 2010 financial crises on the Hurst exponents of international stock markets: Implications for efficiency and contagion," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 140-153.
    18. Ferruz Agudo, Luis & Sarto Marzal, José Luis, 2004. "An analysis of Spanish investment fund performance: some considerations concerning Sharpe's ratio," Omega, Elsevier, vol. 32(4), pages 273-284, August.
    19. Furceri, Davide & Mourougane, Annabelle, 2012. "The effect of financial crises on potential output: New empirical evidence from OECD countries," Journal of Macroeconomics, Elsevier, vol. 34(3), pages 822-832.
    20. G. Hanoch & H. Levy, 1969. "The Efficiency Analysis of Choices Involving Risk," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 36(3), pages 335-346.
    21. James P. Quirk & Rubin Saposnik, 1962. "Admissibility and Measurable Utility Functions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 29(2), pages 140-146.
    22. Truong Dong Loc & Ger Lanjouw & Robert Lensink, 2010. "Stock-market efficiency in thin-trading markets: the case of the Vietnamese stock market," Applied Economics, Taylor & Francis Journals, vol. 42(27), pages 3519-3532.
    23. Zhidong Bai & Hua Li & Huixia Liu & Wing‐Keung Wong, 2011. "Test statistics for prospect and Markowitz stochastic dominances with applications," Econometrics Journal, Royal Economic Society, vol. 14(2), pages 278-303, July.
    24. Maria Rosa Borges, 2010. "Efficient market hypothesis in European stock markets," The European Journal of Finance, Taylor & Francis Journals, vol. 16(7), pages 711-726.
    25. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2008. "Liquidity and market efficiency," Journal of Financial Economics, Elsevier, vol. 87(2), pages 249-268, February.
    26. Weron, Rafał, 2002. "Estimating long-range dependence: finite sample properties and confidence intervals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 312(1), pages 285-299.
    27. Xiaming Liu & Haiyan Song & Peter Romilly, 1997. "Are Chinese stock markets efficient? A cointegration and causality analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 4(8), pages 511-515.
    28. Hooi Hooi Lean & Russell Smyth, 2015. "Testing for weak-form efficiency of crude palm oil spot and future markets: new evidence from a GARCH unit root test with multiple structural breaks," Applied Economics, Taylor & Francis Journals, vol. 47(16), pages 1710-1721, April.
    29. Hooi Hooi Lean & Michael McAleer & Wing-Keung Wong, 2010. "Market Efficiency of Oil Spot and Futures: A Stochastic Dominance Approach," CARF F-Series CARF-F-201, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    30. Andrea Bassanini & Romain Duval, 2009. "Unemployment, institutions, and reform complementarities: re-assessing the aggregate evidence for OECD countries," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 25(1), pages 40-59, Spring.
    31. Zhidong Bai & Hua Li & Michael McAleer & Wing-Keung Wong, 2015. "Stochastic dominance statistics for risk averters and risk seekers: an analysis of stock preferences for USA and China," Quantitative Finance, Taylor & Francis Journals, vol. 15(5), pages 889-900, May.
    32. Nelson Manuel Areal & Manuel Jose Da Rocha Armada, 2002. "The long-horizon returns behaviour of the Portuguese stock market1," The European Journal of Finance, Taylor & Francis Journals, vol. 8(1), pages 93-122.
    33. Michael C. Jensen, 1968. "The Performance Of Mutual Funds In The Period 1945–1964," Journal of Finance, American Finance Association, vol. 23(2), pages 389-416, May.
    34. Rahul Roy & Shijin Santhakumar, 2014. "Time-varying global financial market inefficiency: an instance of pre-, during, and post-subprime crisis," Post-Print hal-01660506, HAL.
    35. Chan, Chia-Ying & de Peretti, Christian & Qiao, Zhuo & Wong, Wing-Keung, 2012. "Empirical test of the efficiency of the UK covered warrants market: Stochastic dominance and likelihood ratio test approach," Journal of Empirical Finance, Elsevier, vol. 19(1), pages 162-174.
    36. Zhuo Qiao & Wing-Keung Wong, 2015. "Which is a better investment choice in the Hong Kong residential property market: a big or small property?," Applied Economics, Taylor & Francis Journals, vol. 47(16), pages 1670-1685, April.
    37. Russell Davidson & Jean-Yves Duclos, 2000. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," Econometrica, Econometric Society, vol. 68(6), pages 1435-1464, November.
    38. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    39. Dominic Gasbarro & Wing-Keung Wong & J. Kenton Zumwalt, 2007. "Stochastic Dominance Analysis of iShares," The European Journal of Finance, Taylor & Francis Journals, vol. 13(1), pages 89-101.
    40. Lim, Kian-Ping & Brooks, Robert D. & Kim, Jae H., 2008. "Financial crisis and stock market efficiency: Empirical evidence from Asian countries," International Review of Financial Analysis, Elsevier, vol. 17(3), pages 571-591, June.
    41. Poterba, James M. & Summers, Lawrence H., 1988. "Mean reversion in stock prices : Evidence and Implications," Journal of Financial Economics, Elsevier, vol. 22(1), pages 27-59, October.
    42. Fong, Wai Mun, 2010. "A stochastic dominance analysis of yen carry trades," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1237-1246, June.
    43. Wong, Wing-Keung & Li, Chi-Kwong, 1999. "A note on convex stochastic dominance," Economics Letters, Elsevier, vol. 62(3), pages 293-300, March.
    44. Östermark, R, 1991. "Empirical evidence on the capital asset pricing model (CAPM) in two Scandinavian stock exchanges," Omega, Elsevier, vol. 19(4), pages 223-234.
    45. Lee, Chun I. & Gleason, Kimberly C. & Mathur, Ike, 2000. "Efficiency tests in the French derivatives market," Journal of Banking & Finance, Elsevier, vol. 24(5), pages 787-807, May.
    46. Fong, Wai Mun & Wong, Wing Keung & Lean, Hooi Hooi, 2005. "International momentum strategies: a stochastic dominance approach," Journal of Financial Markets, Elsevier, vol. 8(1), pages 89-109, February.
    47. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    48. Haim Falk & Haim Levy, 1989. "Market Reaction to Quarterly Earnings' Announcements: A Stochastic Dominance Based Test of Market Efficiency," Management Science, INFORMS, vol. 35(4), pages 425-446, April.
    49. Wong, Wing-Keung, 2007. "Stochastic dominance and mean-variance measures of profit and loss for business planning and investment," European Journal of Operational Research, Elsevier, vol. 182(2), pages 829-843, October.
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    More about this item

    Keywords

    Market Performance; the Global Financial Crisis; Randomness; Market Efficiency; Stochastic Dominance;
    All these keywords.

    JEL classification:

    • 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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