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

Working Paper: NBER ID: w29074

Authors: Ulrike 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; finance; belief formation; risk taking; neuroscience

JEL Codes: D03; D8; D83; D87; E17; E52; E7; G02; G4


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)individual beliefs and choices (D01)
experiencing market crises (G01)decreased future market participation (G19)
recency bias (G41)weigh more recent experiences more heavily (G41)
past experiences (C92)influence behavior primarily in the same domain (Y80)
negative experiences in one market (F61)behaviors in unrelated markets (G40)
personal history (N30)professional decision-making (D70)

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