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Risk, Mispricing, and Asset Allocation: Conditioning on Dividend Yield

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  • Jay Shanken
  • Ane Tamayo

Abstract

In the asset pricing literature, time-variation in market expected excess return captured by financial ratios like dividend yield is typically viewed as a reflection of either changing risk, related to the business cycle, or irrational mispricing. Extending the work on asset allocation and dividend yield by Kandel and Stambaugh (1996) to accommodate variation in risk as well as expected return, we develop Bayesian methods to examine the interaction between the data and an investor's initial beliefs about the sources of return predictability. Although results vary with the subperiod examined, different views on the relative importance of these factors can have important implications for asset allocation between a stock index and a riskless asset. In general, however, the simple risk/return model of Merton (1980) explains very little of the yield-related return predictability observed.

Suggested Citation

  • Jay Shanken & Ane Tamayo, 2001. "Risk, Mispricing, and Asset Allocation: Conditioning on Dividend Yield," NBER Working Papers 8666, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:8666
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    Cited by:

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    2. Abhyankar, Abhay & Sarno, Lucio & Valente, Giorgio, 2005. "Exchange rates and fundamentals: evidence on the economic value of predictability," Journal of International Economics, Elsevier, vol. 66(2), pages 325-348, July.
    3. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, November.

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    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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