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The dividend ratio model and small sample bias : A Monte Carlo study

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  • Campbell, John Y.
  • Shiller, Robert J.

Abstract

Small sample properties of parameter estimates and test statistics in the vector autoregressive dividend ratio model (Campbell and Shiller [1988 a,b]) are derived by stochastic simulation. The data generating processes are co integrated vector autoregressive models, estimated subject to restrictions implied by the dividend ratio model, or altered to show a unit root.
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Suggested Citation

  • Campbell, John Y. & Shiller, Robert J., 1989. "The dividend ratio model and small sample bias : A Monte Carlo study," Economics Letters, Elsevier, vol. 29(4), pages 325-331.
    • Handle: RePEc:eee:ecolet:v:29:y:1989:i:4:p:325-331
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    Cited by:

    1. Alina Lucia Trifan, 2009. "Testing Capital Asset Pricing Model For Romanian Capital Market," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(11), pages 1-43.
    2. Molina-Muñoz, Jesús & Mora-Valencia, Andrés & Perote, Javier, 2020. "Market-crash forecasting based on the dynamics of the alpha-stable distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
    3. Mercereau, Benoît & Miniane, Jacques Alain, 2008. "Should We Trust the Empirical Evidence from Present Value Models of the Current Account?," Economics Discussion Papers 2008-10, Kiel Institute for the World Economy (IfW Kiel).
    4. Park, Dojoon & Hahn, Jaehoon & Eom, Young Ho, 2024. "Predicting the equity premium with financial ratios: A comprehensive look over a long period in Korea," Pacific-Basin Finance Journal, Elsevier, vol. 84(C).
    5. Ferson, Wayne E. & Sarkissian, Sergei & Simin, Timothy, 2008. "Asset Pricing Models with Conditional Betas and Alphas: The Effects of Data Snooping and Spurious Regression," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(2), pages 331-353, June.
    6. Diego Comin & Mark Gertler & Ana Maria Santacreu, 2009. "Technology Innovation and Diffusion as Sources of Output and Asset Price Fluctuations," Harvard Business School Working Papers 09-134, Harvard Business School.
    7. Lorenzo Camponovo & O. Scaillet & Fabio Trojani, 2013. "Predictability Hidden by Anomalous Observations," Swiss Finance Institute Research Paper Series 13-05, Swiss Finance Institute.
    8. Robert J. Shiller, 2014. "Speculative Asset Prices (Nobel Prize Lecture)," Cowles Foundation Discussion Papers 1936, Cowles Foundation for Research in Economics, Yale University.
    9. Doron Avramov & Guofu Zhou, 2010. "Bayesian Portfolio Analysis," Annual Review of Financial Economics, Annual Reviews, vol. 2(1), pages 25-47, December.
    10. Sébastien Lleo & William T. Ziemba, 2017. "Does the bond‐stock earnings yield differential model predict equity market corrections better than high P/E models?," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 26(2), pages 61-123, May.
    11. repec:bla:jecsur:v:16:y:2002:i:3:p:301-55 is not listed on IDEAS
    12. Oliver D. Bunn & Robert J. Shiller, "undated". "Changing Times, Changing Values: A Historical Analysis of Sectors within the US Stock Market 1872-2013," Cowles Foundation Discussion Papers 1950, Cowles Foundation for Research in Economics, Yale University.
    13. repec:bla:germec:v:11:y:2010:i::p:465-486 is not listed on IDEAS
    14. Robert J. Shiller, 2014. "Speculative Asset Prices," American Economic Review, American Economic Association, vol. 104(6), pages 1486-1517, June.
    15. Holtemöller Oliver & Schulz Rainer, 2010. "Investor Rationality and House Price Bubbles: Berlin and the German Reunification," German Economic Review, De Gruyter, vol. 11(4), pages 465-486, December.
    16. Jawadi, Fredj & Namouri, Hela & Ftiti, Zied, 2018. "An analysis of the effect of investor sentiment in a heterogeneous switching transition model for G7 stock markets," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 469-484.

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