Ratings and Asset Allocation: An Experimental Analysis

60 Pages Posted: 17 Sep 2018

Multiple version iconThere are 2 versions of this paper

Date Written: September 2018

Abstract

Investment ratings (e.g., by Morningstar) provide a simple ordinal scale (e.g., 1 to 5) for comparing investments. Typically, ratings are assigned within categories — groups of assets sharing common characteristics — but using the same ordinal scale for all groups. Comparing such categorized ratings across categories is potentially misleading. We study the effect of categorized ratings in an asset allocation experiment in which subjects make repeated allocation decisions under complete information. Subjects initially see no ratings, and they then see either categorized or uncategorized ratings. Although ratings convey no information, categorized ratings affect subject investment choices and harm performance in the experiment. Subjects do not simply invest more in highly rated assets. Rather, rating effects seem to occur when ratings conflict with subjects’ own evaluation of assets: subjects reduce their investment in a high quality asset which receives an intermediate rating, but they do not increase their investment in a high-quality asset that receives a high rating. Knowledge and experience help with the base allocation task but do not mitigate the harmful effect of categorized ratings.

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Suggested Citation

McDonald, Robert L. and Rietz, Thomas A., Ratings and Asset Allocation: An Experimental Analysis (September 2018). NBER Working Paper No. w25046, Available at SSRN: https://ssrn.com/abstract=3250592

Robert L. McDonald (Contact Author)

Northwestern University - Kellogg School of Management ( email )

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Thomas A. Rietz

University of Iowa - Henry B. Tippie College of Business ( email )

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United States
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319-335-3690 (Fax)

HOME PAGE: http://tippie.uiowa.edu/people/profile/profile.aspx?id=195021

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