Overreaction and Diagnostic Expectations in Macroeconomics

Working Paper: NBER ID: w30356

Authors: Pedro Bordalo; Nicola Gennaioli; Andrei Shleifer

Abstract: We present the case for the centrality of overreaction in expectations for addressing important challenges in finance and macroeconomics. First, non-rational expectations by market participants can be measured and modeled in ways that address some of the key challenges posed by the rational expectations revolution, most importantly the idea that economic agents are forward-looking. Second, belief overreaction can account for many long-standing empirical puzzles in macro and finance, which emphasize the extreme volatility and boom-bust dynamics of key time series, such as stock prices, credit, and investment. Third, overreaction relies on psychology and is disciplined by survey data on expectations. This suggests that relaxing the assumption of rational expectations is a promising strategy, helps theory and evidence go together, and offers a unified view of a great deal of data.

Keywords: Overreaction; Expectations; Macroeconomics; Finance; Volatility

JEL Codes: D9; E03; E44; G02


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
Overreaction in expectations (D84)Increased volatility in economic forecasts (G17)
Overreaction (D91)Excessive optimism during economic booms (E32)
Overreaction (D91)Undue pessimism during downturns (E32)
Overreaction (D91)Systematic errors in expectations (D84)
Overreaction (D91)Boom-bust cycles in financial markets (E32)
Overreaction (D91)Excess volatility of stocks (G17)
Increased volatility in economic forecasts (G17)Systematic errors in expectations (D84)

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