A Survey of Behavioral Finance

Working Paper: NBER ID: w9222

Authors: Nicholas Barberis; Richard Thaler

Abstract: Behavioral finance argues that some financial phenomena can plausibly be understood using models in which some agents are not fully rational. The field has two building blocks: limits to arbitrage, which argues that it can be difficult for rational traders to undo the dislocations caused by less rational traders; and psychology, which catalogues the kinds of deviations from full rationality we might expect to see. We discuss these two topics, and then present a number of behavioral finance applications: to the aggregate stock market, to the cross-section of average returns, to individual trading behavior, and to corporate finance. We close by assessing progress in the field and speculating about its future course.

Keywords: No keywords provided

JEL Codes: G11; G12; G30


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
psychological factors (D91)trading behaviors (G41)
trading behaviors (G41)market prices (P22)
trading behaviors (G41)market returns (G19)
psychological factors (D91)market dislocations (D53)
market dislocations (D53)market prices (P22)
market dislocations (D53)market returns (G19)

Back to index