Ratings and Asset Allocation: An Experimental Analysis

Working Paper: NBER ID: w25046

Authors: Robert L. McDonald; Thomas A. Rietz

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.

Keywords: investment ratings; asset allocation; experimental analysis

JEL Codes: G4; G41


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
cognitive dissonance (D80)investment b (G31)
categorized ratings (Y90)investment b (G31)
categorized ratings (Y90)investment a (G31)
financial knowledge (G53)investment performance (G11)
categorized ratings (Y90)investment performance (G11)

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