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Stock price movements: Evidence from global equity markets

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  • Lan, Chunhua
  • Doan, Bao

Abstract

This paper studies how market-level stock price movements respond to changes in expected future aggregate cashflows versus discount rates in individual global equity markets. We find that market-level dividend yields have strong forecasting power for aggregate dividend growth over a short term in most stock markets but their forecasting power becomes weak with investment horizon; their forecasting power for returns tends to exhibit an opposite pattern. The variance decomposition of dividend yields exhibits interesting cross-country heterogeneity. We further find that dividend smoothing and country-level disclosure and investor protection are two important drivers of the diverse predictability patterns across countries.

Suggested Citation

  • Lan, Chunhua & Doan, Bao, 2022. "Stock price movements: Evidence from global equity markets," Journal of Empirical Finance, Elsevier, vol. 69(C), pages 123-143.
  • Handle: RePEc:eee:empfin:v:69:y:2022:i:c:p:123-143
    DOI: 10.1016/j.jempfin.2022.09.001
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    1. Martin Lettau & Stijn Van Nieuwerburgh, 2008. "Reconciling the Return Predictability Evidence," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1607-1652, July.
    2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    3. Atif Ellahie & Zachary Kaplan, 2021. "Show Me the Money! Dividend Policy in Countries with Weak Institutions," Journal of Accounting Research, Wiley Blackwell, vol. 59(2), pages 613-655, May.
    4. Hansen, Lars Peter & Hodrick, Robert J, 1980. "Forward Exchange Rates as Optimal Predictors of Future Spot Rates: An Econometric Analysis," Journal of Political Economy, University of Chicago Press, vol. 88(5), pages 829-853, October.
    5. Bernanke, Ben & Gertler, Mark & Gilchrist, Simon, 1996. "The Financial Accelerator and the Flight to Quality," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 1-15, February.
    6. Andrew Ang & Geert Bekaert, 2007. "Stock Return Predictability: Is it There?," The Review of Financial Studies, Society for Financial Studies, vol. 20(3), pages 651-707.
    7. La Porta, Rafael & Florencio Lopez-de-Silanes & Andrei Shleifer & Robert W. Vishny, 1997. "Legal Determinants of External Finance," Journal of Finance, American Finance Association, vol. 52(3), pages 1131-1150, July.
    8. John Y. Campbell, Robert J. Shiller, 1988. "The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors," The Review of Financial Studies, Society for Financial Studies, vol. 1(3), pages 195-228.
    9. Benjamin Golez, 2014. "Expected Returns and Dividend Growth Rates Implied by Derivative Markets," The Review of Financial Studies, Society for Financial Studies, vol. 27(3), pages 790-822.
    10. Rangvid, Jesper & Schmeling, Maik & Schrimpf, Andreas, 2014. "Dividend Predictability Around the World," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(5-6), pages 1255-1277, December.
    11. Bernanke, Ben & Gertler, Mark, 1989. "Agency Costs, Net Worth, and Business Fluctuations," American Economic Review, American Economic Association, vol. 79(1), pages 14-31, March.
    12. Rafael La Porta & Florencio Lopez‐de‐Silanes & Andrei Shleifer & Robert W. Vishny, 2000. "Agency Problems and Dividend Policies around the World," Journal of Finance, American Finance Association, vol. 55(1), pages 1-33, February.
    13. John H. Cochrane, 2008. "The Dog That Did Not Bark: A Defense of Return Predictability," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1533-1575, July.
    14. Stambaugh, Robert F., 1999. "Predictive regressions," Journal of Financial Economics, Elsevier, vol. 54(3), pages 375-421, December.
    15. Ralph S.J. Koijen & Stijn Van Nieuwerburgh, 2011. "Predictability of Returns and Cash Flows," Annual Review of Financial Economics, Annual Reviews, vol. 3(1), pages 467-491, December.
    16. Bryan Kelly & Seth Pruitt, 2013. "Market Expectations in the Cross-Section of Present Values," Journal of Finance, American Finance Association, vol. 68(5), pages 1721-1756, October.
    17. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    18. Chunhua Lan & Nikolai Roussanov, 2020. "Stock Price Movements: Business-Cycle and Low-Frequency Perspectives," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(2), pages 335-395.
    19. Campbell, John Y., 2003. "Consumption-based asset pricing," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 13, pages 803-887, Elsevier.
    20. Sudipto Bhattacharya, 1979. "Imperfect Information, Dividend Policy, and "The Bird in the Hand" Fallacy," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 259-270, Spring.
    21. Mark Gertler & R. Glenn Hubbard, 1993. "Corporate Financial Policy, Taxation, and Macroeconomic Risk," RAND Journal of Economics, The RAND Corporation, vol. 24(2), pages 286-303, Summer.
    22. Chen, Long, 2009. "On the reversal of return and dividend growth predictability: A tale of two periods," Journal of Financial Economics, Elsevier, vol. 92(1), pages 128-151, April.
    23. John H. Cochrane, 2011. "Presidential Address: Discount Rates," Journal of Finance, American Finance Association, vol. 66(4), pages 1047-1108, August.
    24. Cochrane, John H, 1988. "How Big Is the Random Walk in GNP?," Journal of Political Economy, University of Chicago Press, vol. 96(5), pages 893-920, October.
    25. JULES H. Van BINSBERGEN & RALPH S. J. KOIJEN, 2010. "Predictive Regressions: A Present‐Value Approach," Journal of Finance, American Finance Association, vol. 65(4), pages 1439-1471, August.
    26. Lewellen, Jonathan, 2004. "Predicting returns with financial ratios," Journal of Financial Economics, Elsevier, vol. 74(2), pages 209-235, November.
    27. Mark T. Leary & Roni Michaely, 2011. "Determinants of Dividend Smoothing: Empirical Evidence," The Review of Financial Studies, Society for Financial Studies, vol. 24(10), pages 3197-3249.
    28. Maio, Paulo & Xu, Danielle, 2020. "Cash-flow or return predictability at long horizons? The case of earnings yield," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 172-192.
    29. Maio, Paulo & Santa-Clara, Pedro, 2015. "Dividend Yields, Dividend Growth, and Return Predictability in the Cross Section of Stocks," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 50(1-2), pages 33-60, April.
    30. Engsted, Tom & Pedersen, Thomas Q., 2010. "The dividend-price ratio does predict dividend growth: International evidence," Journal of Empirical Finance, Elsevier, vol. 17(4), pages 585-605, September.
    31. Lucas, Robert E., 1977. "Understanding business cycles," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 5(1), pages 7-29, January.
    32. Miller, Merton H & Rock, Kevin, 1985. "Dividend Policy under Asymmetric Information," Journal of Finance, American Finance Association, vol. 40(4), pages 1031-1051, September.
    33. Long Chen & Zhi Da & Richard Priestley, 2012. "Dividend Smoothing and Predictability," Management Science, INFORMS, vol. 58(10), pages 1834-1853, October.
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    More about this item

    Keywords

    Stock price movements; Multiperiod dividend growth predictability; Multiperiod return predictability; Dividend smoothing; Disclosure and investor protection;
    All these keywords.

    JEL classification:

    • 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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