Using Equity Market Reactions to Infer Exposure to Trade Liberalization

96 Pages Posted: 23 Jun 2022

See all articles by Andrew Greenland

Andrew Greenland

Elon University - Department of Economics

Mihai Ion

University of Arizona - Eller College of Management

John Lopresti

College of William and Mary - Department of Economics

Peter Schott

Yale University

Multiple version iconThere are 3 versions of this paper

Date Written: June 1, 2022

Abstract

We propose a method for identifying exposure to changes in trade policy based on asset prices that has several advantages over standard measures: it encompasses all avenues of exposure, it is natively firm-level, it yields estimates for both goods and service producers, and it can be used to study reductions in difficult-to-quantify non-tariff-barriers in a way that controls naturally for broader macroeconomic shocks. Applying our method to two well-studied US trade liberalizations provides new insight into service sector responses to trade liberalizations as well as dramatically different responses among small versus large firms, even within narrow industries.

Keywords: Abnormal Returns, China shock, CUSFTA, event study, PNTR

Suggested Citation

Greenland, Andrew and Ion, Mihai and Lopresti, John and Schott, Peter, Using Equity Market Reactions to Infer Exposure to Trade Liberalization (June 1, 2022). CEPR Discussion Paper No. DP17387, Available at SSRN: https://ssrn.com/abstract=4144718

Andrew Greenland (Contact Author)

Elon University - Department of Economics ( email )

Elon, NC 27244
United States

Mihai Ion

University of Arizona - Eller College of Management ( email )

McClelland Hall
P.O. Box 210108
Tucson, AZ 85721-0108
United States

John Lopresti

College of William and Mary - Department of Economics ( email )

100 Ukrop Way
Morton Hall
Williamsburg, VA 23185
United States

HOME PAGE: http://wmpeople.wm.edu/site/page/jwlopresti/home

Peter Schott

Yale University ( email )

493 College St
New Haven, CT CT 06520
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
2
Abstract Views
181
PlumX Metrics