On the predictions of cumulative prospect theory for third and fourth order risk preferences

Paya, Ivan and Peel, David A. and Georgalos, Konstantinos (2023) On the predictions of cumulative prospect theory for third and fourth order risk preferences. Theory and Decision, 95 (2). pp. 337-359. ISSN 0040-5833

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Abstract

In this paper, we analyse higher-order risky choices by the representative cumulative prospect theory (CPT) decision maker from three alternative reference points. These are the status quo, average payout and maxmin. The choice tasks we consider in our analysis include binary risks, and are the ones employed in the experimental literature on higher order risk preferences. We demonstrate that the choices made by the representative subject depend on the reference point. If the reference point is the status quo and the lottery choices exhibit symmetric risk, we demonstrate that there is no third order reflection effect of lottery choices but there is a fourth order reflection effect. When the average payout is the reference point, we demonstrate that any third or fourth order lottery choice is possible dependent upon the lottery payoffs. However, under the assumption of maxmin reference point, the risky choices are prudent and temperate. In addition to these results, our analysis reveals that the representative CPT subject can choose combinations of second with third and fourth order risky options that differ from those in other major models of decision under risk. We contrast our theoretical predictions with the empirical results reported in the literature on higher order risk preferences and are able to reconcile some conflicting experimental evidence.

Item Type:
Journal Article
Journal or Publication Title:
Theory and Decision
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1706
Subjects:
?? CUMULATIVE PROSPECT THEORYDECISION MAKING UNDER RISKEXPERIMENTSHIGHER ORDER RISK PREFERENCESREFLECTION EFFECTECONOMICS, ECONOMETRICS AND FINANCE(ALL)DECISION SCIENCES(ALL)APPLIED PSYCHOLOGYSOCIAL SCIENCES(ALL)COMPUTER SCIENCE APPLICATIONS ??
ID Code:
183833
Deposited By:
Deposited On:
24 Jan 2023 11:55
Refereed?:
Yes
Published?:
Published
Last Modified:
19 Sep 2023 12:55