Pro-cyclical Learning Asymmetry: Evidence from Financial Professionals

95 Pages Posted: 6 Dec 2022 Last revised: 11 Apr 2023

See all articles by Xiaofei Niu

Xiaofei Niu

Shandong University - School of Economics

Jianbiao Li

Nankai University; Shandong University - School of Economics

Qian Cao

Nanjing University of Finance and Economics

Date Written: November 24, 2022

Abstract

Despite the prevalence of booms and busts, little is known about how investors learn from financial information during these cycles. We prime financial professionals with either a boom or a bust scenario and find that boom-primed professionals exhibit asymmetric learning from positive and negative information, while bust-primed professionals do not. This pro-cyclical learning asymmetry is mainly driven by bust-primed professionals reacting less to positive high outcomes than boom-primed professionals, and the underlying mechanism may be emotion-driven associative memory. Professionals without bubble-crash experience and nonfinancial professionals do not show the pro-cyclical learning asymmetry, highlighting the crucial role of experience (especially bubble-crash experience). Our findings shed light on the dynamics of belief formation over the business cycle, and may help explain countercyclical risk aversion and sluggish recovery from recessions.

Keywords: booms; busts; beliefs; experience; emotional memory

JEL Classification: G02; G11

Suggested Citation

Niu, Xiaofei and Li, Jianbiao and Cao, Qian, Pro-cyclical Learning Asymmetry: Evidence from Financial Professionals (November 24, 2022). Available at SSRN: https://ssrn.com/abstract=4285052 or http://dx.doi.org/10.2139/ssrn.4285052

Xiaofei Niu (Contact Author)

Shandong University - School of Economics ( email )

School of Economics, Shandong University
No. 27 Shanda Nanlu
Jinan, Shandong 250100
China

Jianbiao Li

Nankai University ( email )

94 Weijin Road
Tianjin, 300071
China

Shandong University - School of Economics ( email )

Qian Cao

Nanjing University of Finance and Economics ( email )

Nanjing
China

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