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Decision Flexibility, Not Information Feedback, Explains Myopic Loss Aversion

Authors: Rene Schwaiger; Markus Strucks; Stefan Zeisberger;

Decision Flexibility, Not Information Feedback, Explains Myopic Loss Aversion

Abstract

Myopic loss aversion (MLA) - the tendency to avoid risk when investment outcomes are evaluated frequently - has long been cited as a key behavioral explanation for overly conservative portfolios. However, importantly it has remained unclear whether MLA is primarily driven by the frequency of performance feedback or by the flexibility to revise investment decisions (i.e., the decision frequency). Previous studies have yielded mixed evidence. To address this, we conducted two studies; each independently manipulating feedback and decision frequency, featuring substantially higher statistical power than previous research. Our results indicate that MLA is driven by decision rather than feedback frequency. These results refine the theoretical foundations of MLA, with implications for the design of investment interfaces, behavioral finance, and policy interventions aimed at improving long-term investment outcomes.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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