Panics and Early Warnings

PBCSF-NIFR Research Paper

44 Pages Posted: 11 Mar 2020 Last revised: 20 May 2024

See all articles by Deepal Basak

Deepal Basak

Indiana University - Kelley School of Business - Department of Business Economics & Public Policy; Kelley School of Business, Indiana University

Zhen Zhou

Tsinghua University - PBC School of Finance

Date Written: May 20, 2022

Abstract

We study optimal adversarial information design in a dynamic regime change game. Agents decide when to attack, if at all. We assume (1) delay incurs a continuous cost and (2) agents doubt the correctness of their actions. The game may end in a "disaster" due to weak fundamentals or panic --- agents attacking despite sound fundamentals. We propose a "timely disaster alert" that promptly warns about impending disasters, making waiting for and following the alert the unique rationalizable strategy, thereby eliminating panic. We relate this optimal policy to early warning systems such as bank stress tests and debt sustainability analysis.

Keywords: Adversarial Selection, Dynamic Information Design, Coordination, Stress Test, Regime Change

JEL Classification: D02, D82, D83, G28

Suggested Citation

Basak, Deepal and Zhou, Zhen, Panics and Early Warnings (May 20, 2022). PBCSF-NIFR Research Paper, Available at SSRN: https://ssrn.com/abstract=3540708 or http://dx.doi.org/10.2139/ssrn.3540708

Deepal Basak

Indiana University - Kelley School of Business - Department of Business Economics & Public Policy ( email )

Bloomington, IN 47405
United States

Kelley School of Business, Indiana University ( email )

1309 E 10th St
Bloomington, IN 47405-1701
United States

HOME PAGE: http://https://sites.google.com/a/nyu.edu/dbasak/home

Zhen Zhou (Contact Author)

Tsinghua University - PBC School of Finance ( email )

No. 43, Chengdu Road
Haidian District
Beijing 100083
China

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