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Financial Liberalization and the Changing Characteristics of Nordic Stock Returns

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This paper uses a multivariate regime-switching framework to investigate and endogenously date changes in return characteristics on the four largest Nordic stock markets. We find that the deregulated time-period, specifically after 1982, is associated with higher expected return, higher volatility, stronger links with international stock markets and higher correlation between the Nordic stock markets. This higher correlation is mainly driven by common higher correlation with international stock returns and not by higher correlation between country specific components of return. Further, our evidence support the argument that market liberalization creates excess volatility but also that Nordic investors are more than compensated for this by higher expected returns and the opportunity to cross-border diversification after liberalization.

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  • Nilsson, Birger, 2002. "Financial Liberalization and the Changing Characteristics of Nordic Stock Returns," Working Papers 2002:4, Lund University, Department of Economics.
    • Handle: RePEc:hhs:lunewp:2002_004
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    File URL: http://project.nek.lu.se/publications/workpap/Papers/WP02_4.pdf
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    1. Campbell, John Y & Hamao, Yasushi, 1992. "Predictable Stock Returns in the United States and Japan: A Study of Long-Term Capital Market Integration," Journal of Finance, American Finance Association, vol. 47(1), pages 43-69, March.
    2. Bekaert, Geert & Harvey, Campbell R, 1995. "Time-Varying World Market Integration," Journal of Finance, American Finance Association, vol. 50(2), pages 403-444, June.
    3. Tobias Rydén & Timo Teräsvirta & Stefan Åsbrink, 1998. "Stylized facts of daily return series and the hidden Markov model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(3), pages 217-244.
    4. Andrew Ang & Geert Bekaert, 1999. "International Asset Allocation with Time-Varying Correlations," NBER Working Papers 7056, National Bureau of Economic Research, Inc.
    5. Goffe, William L. & Ferrier, Gary D. & Rogers, John, 1994. "Global optimization of statistical functions with simulated annealing," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 65-99.
    6. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    7. Grossman, Sanford J, 1995. "Dynamic Asset Allocation and the Informational Efficiency of Markets," Journal of Finance, American Finance Association, vol. 50(3), pages 773-787, July.
    8. Hamilton, James D., 1996. "Specification testing in Markov-switching time-series models," Journal of Econometrics, Elsevier, vol. 70(1), pages 127-157, January.
    9. Goldfeld, Stephen M. & Quandt, Richard E., 1973. "A Markov model for switching regressions," Journal of Econometrics, Elsevier, vol. 1(1), pages 3-15, March.
    10. Kim, Chang-Jin, 1994. "Dynamic linear models with Markov-switching," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 1-22.
    11. Sellin, Peter, 1996. " Inviting Excess Volatility? Opening Up a Small Stock Market to International Investors," Scandinavian Journal of Economics, Wiley Blackwell, vol. 98(4), pages 603-612, December.
    12. Chang-Jin Kim & Charles R. Nelson, 1999. "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262112388, December.
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    Cited by:

    1. Panicos Demetriades & Michaeil Karoglou & Siong Hook Law, 2007. "Financial Liberalisation and Breaks in Stock Market Volatility: Evidence from East Asia," Money Macro and Finance (MMF) Research Group Conference 2006 162, Money Macro and Finance Research Group.
    2. Alexius, Annika, 2004. "Far Out on the Yield Curve," Working Paper Series 2004:12, Uppsala University, Department of Economics.
    3. Batra, Amit, 2004. "Stock return volatility patterns in India," Indian Council for Research on International Economic Relations, New Delhi Working Papers 124, Indian Council for Research on International Economic Relations, New Delhi, India.

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    More about this item

    Keywords

    stock market liberalization; excess volatility; portfolio diversification; multivariate regime-switching models; simulated annealing;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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