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Data · dataset · 2026

Database: Beyond Myopic Loss Aversion: Experimental Evidence of Heuristics as Concurrent Drivers of Context-Dependent Financial Decisions

Listed in Teesside University Research Data Repository

This study analyzes how decision-making heuristics interact with Myopic Loss Aversion (MLA) in determining financial decision-making in environments of risk and ambiguity.

Description

The study argues that simple heuristics and attentional components coexist with loss aversion, shaping the decision-making process in a contextual manner. To test this proposition, an experiment was conducted with 231 participants, in which individuals made repeated decisions under different frequencies of investment outcome evaluation.

A Loss Aversion Coefficient, a Minimax-Priority Index, a Preference Index, and an Asymmetry Index were constructed and empirically validated. The results indicate that loss aversion does not act in a one-dimensional way: while the Minimax heuristic systematically reduces the amount invested, loss aversion may, in certain contexts, be associated with greater risk propensity. Interactions with feedback frequency reveal that the decision-making environment reorganizes the relative weight of heuristics.

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Taken together, the findings reinforce that heuristics and biases are dynamic responses to the decision-making context, and occur in a manner that is complementary to the traditional logic of loss aversion-based models, such as Prospect Theory.

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Teesside University Research Data Repositoryoai:data.mendeley.com/ytywgzz5f7.117 h agoJSON v1
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