Estimating
Risk Tolerance: The Degree of Accuracy and the Paramorphic
Representations of the Estimate Michael
J. Roszkowski and John Grable
According to this research , the answer is no.Using
a sample of 386 financial advisors and 458 of their clients, the
study sought to determine how effective financial advisors and
clients are at estimating risk-tolerance, and to test how well items
from a risk tolerance test and demographic information can represent
the judgmental process used to formulate these estimates (a
“paramorphic representation” of the decision). The client’s
self rating and the advisor’s rating of the client produced a
Pearson correlation of .40. Moreover, the advisor’s rating
correlated at about the same level (r =.41) with the client’s score
on a test of risk tolerance. The data also showed that when it comes
to estimating one’s own risk tolerance, clients are better than are
advisors at this task. The estimates could be represented
paramorphically in terms of a few variables. It was observed that
advisors assign too much diagnostic value to certain demographic
variables in estimating client risk tolerance. Keywords: Risk
tolerance, paramorphic representation, financial advisors . Read the paper here
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