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Miller and Modigliani, Predictive Return Regressions and Cointegration

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  • Piergiorgio Alessandri
  • Donald Robertson
  • Stephen Wright

Abstract

This paper investigates the use of alternative measures of dividend yields to predict US aggregate stock returns. Following Miller and Modigliani [Journal of Business (1961), Vol. 34, pp. 411–433] we construct a cashflow yield that includes both dividend and non‐dividend cashflows to shareholders. Using a data set covering the course of the 20th century, we show in a cointegrating vector autoregression framework that this measure has strong and stable predictive power for returns. The weak predictive power of standard measures of the dividend yield is explained by the strong rejection of the implied cointegrating and causality restrictions on the impact of non‐dividend cashflows.

Suggested Citation

  • Piergiorgio Alessandri & Donald Robertson & Stephen Wright, 2008. "Miller and Modigliani, Predictive Return Regressions and Cointegration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(2), pages 181-207, April.
    • Handle: RePEc:bla:obuest:v:70:y:2008:i:2:p:181-207
    DOI: 10.1111/j.1468-0084.2007.00499.x
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    References listed on IDEAS

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    1. Donald Robertson & Stephen Wright, 2006. "Dividends, Total Cash Flow to Shareholders, and Predictive Return Regressions," The Review of Economics and Statistics, MIT Press, vol. 88(1), pages 91-99, February.

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