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.
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number
5918.
Length: Date of creation: Feb 1997 Date of revision: Publication status: published as Journal of Financial Economics, Vol. 45 (1997): 285-331. Handle: RePEc:nbr:nberwo:5918
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Find related papers by JEL classification: G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
William N. Goetzmann & Philippe Jorion, 1997.
"Re-emerging Markets,"
NBER Working Papers
5906, National Bureau of Economic Research, Inc.
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William N. Goetzmann & Philippe Jorion, 1997.
"Re-emerging Markets,"
NBER Working Papers
5906, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted)
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