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Analyzing Investments Whose Histories Differ in Length

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  • Robert F. Stambaugh

Abstract

This study explores multivariate methods for investment analysis based on a sample of return histories that differ in length across assets. The longer histories provide greater information about moments of returns, not only for the longer-history assets, but for the shorter-history assets as well. To account for the remaining parameter uncertainty, or estimation risk,' portfolio opportunities are characterized by a Bayesian predictive distribution. Examples involving emerging markets demonstrate the value of using the combined sample of histories and accounting for estimation risk, as compared to truncating the sample to produce equal-length histories or ignoring estimation risk by using maximum-likelihood estimates.

Suggested Citation

  • Robert F. Stambaugh, 1997. "Analyzing Investments Whose Histories Differ in Length," NBER Working Papers 5918, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:5918
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    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Klein, Roger W. & Bawa, Vijay S., 1976. "The effect of estimation risk on optimal portfolio choice," Journal of Financial Economics, Elsevier, vol. 3(3), pages 215-231, June.
    3. Harvey, Campbell R, 1995. "Predictable Risk and Returns in Emerging Markets," The Review of Financial Studies, Society for Financial Studies, vol. 8(3), pages 773-816.
    4. Goetzmann, William N. & Jorion, Philippe, 1999. "Re-Emerging Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 34(1), pages 1-32, March.
    5. Kandel, Shmuel & McCulloch, Robert & Stambaugh, Robert F, 1995. "Bayesian Inference and Portfolio Efficiency," The Review of Financial Studies, Society for Financial Studies, vol. 8(1), pages 1-53.
    6. Harvey, Campbell R. & Zhou, Guofu, 1990. "Bayesian inference in asset pricing tests," Journal of Financial Economics, Elsevier, vol. 26(2), pages 221-254, August.
    7. Klein, Roger W. & Bawa, Vijay S., 1977. "Abstract: The Effect of Limited Information and Estimation Risk on Optimal Portfolio Diversification," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 12(4), pages 669-669, November.
    8. Gibbons, Michael R & Ross, Stephen A & Shanken, Jay, 1989. "A Test of the Efficiency of a Given Portfolio," Econometrica, Econometric Society, vol. 57(5), pages 1121-1152, September.
    9. Frost, Peter A. & Savarino, James E., 1986. "An Empirical Bayes Approach to Efficient Portfolio Selection," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 21(3), pages 293-305, September.
    10. Robert R. Grauer & Nils H. Hakansson, 1993. "On the Use of Mean-Variance and Quadratic Approximations in Implementing Dynamic Investment Strategies: A Comparison of Returns and Investment Policies," Management Science, INFORMS, vol. 39(7), pages 856-871, July.
    11. Jorion, Philippe, 1986. "Bayes-Stein Estimation for Portfolio Analysis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 21(3), pages 279-292, September.
    12. Klein, Roger W. & Bawa, Vijay S., 1977. "The effect of limited information and estimation risk on optimal portfolio diversification," Journal of Financial Economics, Elsevier, vol. 5(1), pages 89-111, August.
    13. Brown, Stephen J & Goetzmann, William N & Ross, Stephen A, 1995. "Survival," Journal of Finance, American Finance Association, vol. 50(3), pages 853-873, July.
    14. Shanken, Jay, 1987. "A Bayesian approach to testing portfolio efficiency," Journal of Financial Economics, Elsevier, vol. 19(2), pages 195-215, December.
    15. Nicholas G. Polson & George C. Tiao (ed.), 1995. "Bayesian Inference," Books, Edward Elgar Publishing, volume 0, number 602.
    16. Barry, Christopher B. & Brown, Stephen J., 1985. "Differential Information and Security Market Equilibrium," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 20(4), pages 407-422, December.
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    More about this item

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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