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Risk, Return and Dividends

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  • Andrew Ang
  • Jun Liu

Abstract

We characterize the joint dynamics of dividends, expected returns, stochastic volatility, and prices. In particular, with a given dividend process, one of the processes of the expected return, the stock volatility, or the price-dividend ratio fully determines the other two. For example, together with dividends, the stock volatility process fully determines the dynamics of the expected return and the price-dividend ratio. By parameterizing one or more of expected returns, volatility, or prices, common empirical specifications place strong, and sometimes counter-factual, restrictions on the dynamics of the other variables. Our relations are useful for understanding the risk-return trade-off, as well as characterizing the predictability of stock returns.

Suggested Citation

  • Andrew Ang & Jun Liu, 2007. "Risk, Return and Dividends," NBER Working Papers 12843, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:12843
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    Cited by:

    1. Tim Bollerslev & George Tauchen & Hao Zhou, 2009. "Expected Stock Returns and Variance Risk Premia," The Review of Financial Studies, Society for Financial Studies, vol. 22(11), pages 4463-4492, November.
    2. 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.
    3. Nahida Akter & Ashadun Nobi, 2018. "Investigation of the Financial Stability of S&P 500 Using Realized Volatility and Stock Returns Distribution," JRFM, MDPI, vol. 11(2), pages 1-10, April.
    4. Holger Kraft & Eduardo S. Schwartz, 2010. "Cash Flow Multipliers and Optimal Investment Decisions," NBER Working Papers 15807, National Bureau of Economic Research, Inc.
    5. Pollet, Joshua M. & Wilson, Mungo, 2010. "Average correlation and stock market returns," Journal of Financial Economics, Elsevier, vol. 96(3), pages 364-380, June.
    6. 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.
    7. Holger Kraft & Eduardo Schwartz, 2015. "Cash Flow Multipliers and Optimal Investment Decisions," European Financial Management, European Financial Management Association, vol. 21(3), pages 399-429, June.
    8. Juho Kanniainen & Robert Pich'e, 2012. "Stock Price Dynamics and Option Valuations under Volatility Feedback Effect," Papers 1209.4718, arXiv.org.
    9. Hanno Lustig & Stijn Van Nieuwerburgh & Adrien Verdelhan, 2013. "The Wealth-Consumption Ratio," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 3(1), pages 38-94.
    10. Kanniainen, Juho & Piché, Robert, 2013. "Stock price dynamics and option valuations under volatility feedback effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 722-740.
    11. Damir Filipovi'c & Sander Willems, 2018. "A Term Structure Model for Dividends and Interest Rates," Papers 1803.02249, arXiv.org, revised May 2020.
    12. Tsafack, Georges & Becker, Ying & Han, Ki, 2023. "Earnings announcement premium and return volatility: Is it consistent with risk-return trade-off?," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    13. Lawrenz, Jochen & Zorn, Josef, 2017. "Predicting international stock returns with conditional price-to-fundamental ratios," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 159-184.
    14. Luiz Félix & Roman Kräussl & Philip Stork, 2020. "Implied volatility sentiment: a tale of two tails," Quantitative Finance, Taylor & Francis Journals, vol. 20(5), pages 823-849, May.
    15. Valdes, Rodrigo, 2017. "What drives the regional integration of agribusiness stocks? Evidence in worldwide perspective," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258265, Agricultural and Applied Economics Association.

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