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Demographic Trends, the Dividend-Price Ratio and the Predictability of Long-Run Stock Market Returns

Author

Listed:
  • Carlo A. Favero
  • Arie E. Gozluklu
  • Andrea Tamoni

Abstract

This paper documents the existence of a slowly evolving trend in the dividendprice ratio, dpt , determined by a demographic variable, MY : the middle-aged to young ratio. Deviations of dpt from this long-run component explain transitory but persistent fluctuations in stock market returns. The relation between MY and dpt is a prediction of an overlapping generation model. The joint significance of MY and dpt in longhorizon forecasting regressions for market returns explain the mixed evidence on the ability of dpt to predict stock returns and provide a model-based interpretation of statistical corrections for breaks in the mean of this financial ratio.

Suggested Citation

  • Carlo A. Favero & Arie E. Gozluklu & Andrea Tamoni, 2010. "Demographic Trends, the Dividend-Price Ratio and the Predictability of Long-Run Stock Market Returns," Working Papers 360, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    • Handle: RePEc:igi:igierp:360
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    1. Martha Douvogiannis & Joel Lander & Athanasios Orphanides, "undated". "Earnings Forecasts and the Predictability of Stock Returns: Evidence from Trading the S&P;," Finance and Economics Discussion Series 1997-06, Board of Governors of the Federal Reserve System (U.S.), revised 10 Dec 2019.
    2. 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.
    3. Ivo Welch & Amit Goyal, 2008. "A Comprehensive Look at The Empirical Performance of Equity Premium Prediction," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1455-1508, July.
    4. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    5. Nir Jaimovich & Henry E. Siu, 2009. "The Young, the Old, and the Restless: Demographics and Business Cycle Volatility," American Economic Review, American Economic Association, vol. 99(3), pages 804-826, June.
    6. Davidson, Russell & Flachaire, Emmanuel, 2008. "The wild bootstrap, tamed at last," Journal of Econometrics, Elsevier, vol. 146(1), pages 162-169, September.
    7. Campbell, J.Y. & Shiller, R.J., 1988. "Stock Prices, Earnings And Expected Dividends," Papers 334, Princeton, Department of Economics - Econometric Research Program.
    8. Andrew Ang & Angela Maddaloni, 2005. "Do Demographic Changes Affect Risk Premiums? Evidence from International Data," The Journal of Business, University of Chicago Press, vol. 78(1), pages 341-380, January.
    9. Whitney K. Newey & Kenneth D. West, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(4), pages 631-653.
    10. Paul Beaudry & Franck Portier, 2006. "Stock Prices, News, and Economic Fluctuations," American Economic Review, American Economic Association, vol. 96(4), pages 1293-1307, September.
    11. 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.
    12. Andrew B. Abel, 2003. "The Effects of a Baby Boom on Stock Prices and Capital Accumulation in the Presence of Social Security," Econometrica, Econometric Society, vol. 71(2), pages 551-578, March.
    13. Mr. Robin Brooks, 2000. "What Will Happen to Financial Markets When the Baby Boomers Retire?," IMF Working Papers 2000/018, International Monetary Fund.
    14. Campbell, John Y, 1991. "A Variance Decomposition for Stock Returns," Economic Journal, Royal Economic Society, vol. 101(405), pages 157-179, March.
    15. Henrik Hansen & Søren Johansen, 1999. "Some tests for parameter constancy in cointegrated VAR-models," Econometrics Journal, Royal Economic Society, vol. 2(2), pages 306-333.
    16. Ľuboš Pástor & Robert F. Stambaugh, 2012. "Are Stocks Really Less Volatile in the Long Run?," Journal of Finance, American Finance Association, vol. 67(2), pages 431-478, April.
    17. Carlo A. Favero & Andrea Tamoni, 2010. "Demographics and the Econometrics of the Term Structure of Stock Market Risk," Working Papers 367, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    18. John Geanakoplos & Michael Magill & Martine Quinzii, 2003. "Demography and the Long Run Behavior of the Stock Market," Levine's Working Paper Archive 506439000000000269, David K. Levine.
    19. Martin Lettau & Sydney Ludvigson, 2001. "Consumption, Aggregate Wealth, and Expected Stock Returns," Journal of Finance, American Finance Association, vol. 56(3), pages 815-849, June.
    20. Lewellen, Jonathan, 2004. "Predicting returns with financial ratios," Journal of Financial Economics, Elsevier, vol. 74(2), pages 209-235, November.
    21. Michael Magill, 2004. "Demography and the Stock Market," Theory workshop papers 658612000000000080, UCLA Department of Economics.
    22. Goyal, Amit, 2004. "Demographics, Stock Market Flows, and Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(1), pages 115-142, March.
    23. Lettau, Martin & Ludvigson, Sydney C., 2005. "Expected returns and expected dividend growth," Journal of Financial Economics, Elsevier, vol. 76(3), pages 583-626, June.
    24. 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.
    25. Fama, Eugene F. & French, Kenneth R., 1988. "Dividend yields and expected stock returns," Journal of Financial Economics, Elsevier, vol. 22(1), pages 3-25, October.
    26. Stambaugh, Robert F., 1999. "Predictive regressions," Journal of Financial Economics, Elsevier, vol. 54(3), pages 375-421, December.
    27. Amit Goyal & Ivo Welch, 2003. "Predicting the Equity Premium with Dividend Ratios," Management Science, INFORMS, vol. 49(5), pages 639-654, May.
    28. Paye, Bradley S. & Timmermann, Allan, 2006. "Instability of return prediction models," Journal of Empirical Finance, Elsevier, vol. 13(3), pages 274-315, June.
    29. repec:bla:jfinan:v:43:y:1988:i:3:p:661-76 is not listed on IDEAS
    30. Hodrick, Robert J, 1992. "Dividend Yields and Expected Stock Returns: Alternative Procedures for Inference and Measurement," The Review of Financial Studies, Society for Financial Studies, vol. 5(3), pages 357-386.
    31. John Y. Campbell & Samuel B. Thompson, 2008. "Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1509-1531, July.
    32. Nelson, Charles R & Kim, Myung J, 1993. "Predictable Stock Returns: The Role of Small Sample Bias," Journal of Finance, American Finance Association, vol. 48(2), pages 641-661, June.
    33. Neely, Christopher J. & Weller, Paul, 2000. "Predictability in International Asset Returns: A Reexamination," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(4), pages 601-620, December.
    34. John Y. Campbell, 2001. "A Comment On James M. Poterba'S "Demographic Structure And Asset Returns"," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 585-588, November.
    35. Rapach, David E. & Wohar, Mark E., 2006. "In-sample vs. out-of-sample tests of stock return predictability in the context of data mining," Journal of Empirical Finance, Elsevier, vol. 13(2), pages 231-247, March.
    36. James M. Poterba, 2001. "Demographic Structure And Asset Returns," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 565-584, November.
    37. Jacob Boudoukh & Roni Michaely & Matthew Richardson & Michael R. Roberts, 2007. "On the Importance of Measuring Payout Yield: Implications for Empirical Asset Pricing," Journal of Finance, American Finance Association, vol. 62(2), pages 877-915, April.
    38. Andrew B. Abel, 2001. "Will Bequests Attenuate The Predicted Meltdown In Stock Prices When Baby Boomers Retire?," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 589-595, November.
    39. 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.
    40. Campbell, John Y. & Viceira, Luis M., 2002. "Strategic Asset Allocation: Portfolio Choice for Long-Term Investors," OUP Catalogue, Oxford University Press, number 9780198296942.
    41. Jacob Boudoukh & Matthew Richardson & Robert F. Whitelaw, 2008. "The Myth of Long-Horizon Predictability," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1577-1605, July.
    42. Robin Brooks, 2002. "Asset-Market Effects of the Baby Boom and Social-Security Reform," American Economic Review, American Economic Association, vol. 92(2), pages 402-406, May.
    43. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    44. Juselius, Katarina, 2006. "The Cointegrated VAR Model: Methodology and Applications," OUP Catalogue, Oxford University Press, number 9780199285679.
    45. Valkanov, Rossen, 2003. "Long-horizon regressions: theoretical results and applications," Journal of Financial Economics, Elsevier, vol. 68(2), pages 201-232, May.
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    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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