Experience Effects in Finance: Foundations, Applications, and Future Directions

Working Paper: CEPR ID: DP16373

Authors: Ulrike M. Malmendier

Abstract: This article establishes four key findings of the growing literature on experience effects in finance: (1) the long-lasting imprint of past experiences on beliefs and risk taking, (2) recency effects, (3) the domain-specificity of experience effects, and (4) imperviousness to information that is not experience-based. I first discuss the neuroscientific foundations of experience-based learning and sketch a simple model of its role in the stock market based on Malmendier et al. (2020a,b). I then distill the empirical findings on experience effects in stock-market investment, trade dynamics, and international capital flows, highlighting these four key features. Finally, I contrast models of belief formation that rely on "learned information" with models accounting for the neuroscience evidence on synaptic tagging and memory formation, and provide directions for future research.

Keywords: experience effects; beliefs; recency; domain specificity; information; stock market participation; trade dynamics; international capital flows

JEL Codes: D14; D81; D83; D87; D91; F30; G11; G12; G41; G50


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
Past experiences of macro-financial realizations (E44)long-term beliefs (F01)
Past experiences of macro-financial realizations (E44)choices (Y60)
More recent experiences (Y50)expectations (D84)
More recent experiences (Y50)risk-taking (D81)
Past experiences in one market (G10)participation in another market (L19)
Negative experiences in stock market (G41)reduced stock market participation (G19)
Experience effects (C92)influence on professional decision-makers (J44)

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