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Exporting Uncertainty: The Impact of Brexit on Corporate America

Published online by Cambridge University Press:  19 April 2022

Murillo Campello ,
Gustavo S. Cortes ,
Fabrício d’Almeida  and
Gaurav Kankanhalli
Murillo Campello*
Affiliation:
Cornell University SC Johnson Graduate School of Management and NBER
Gustavo S. Cortes
Affiliation:
University of Florida Warrington College of Business gustavo.cortes@warrington.ufl.edu
Fabrício d’Almeida
Affiliation:
Purdue University Krannert School of Management fdalmeid@purdue.edu
Gaurav Kankanhalli
Affiliation:
University of Pittsburgh Katz Graduate School of Business gkankanhalli@katz.pitt.edu
*
campello@cornell.edu (corresponding author)
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Abstract

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We show that the 2016 Brexit Referendum had multifaceted consequences for corporate America, shaping employment, investment, divestitures, R&D, and savings. The unexpected vote outcome led U.S. firms to cut jobs and investment within U.S. borders. Using establishment-level data, we document that these effects were modulated by the reversibility of capital and labor. American-based job destruction was particularly pronounced in industries with less skilled and more unionized workers. U.K.-exposed firms with less redeployable capital and high input-offshoring dependence cut investment the most. Data on the near universe of U.S. establishments also point to measurable, negative effects on establishment turnover (openings and closings). Our results demonstrate how foreign-born political uncertainty is transmitted across international borders, shaping domestic capital formation and labor allocation.

Type
Research Article
Information
Journal of Financial and Quantitative Analysis , Volume 57 , Issue 8 , December 2022 , pp. 3178 - 3222
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the Michael G. Foster School of Business, University of Washington

Footnotes

We thank an anonymous referee and Jarrad Harford (the editor) for insightful suggestions. We are also grateful to Warren Bailey, Craig Brown, Charles Calomiris, Danilo Cascaldi-Garcia, Steven Davis, Price Fishback, Janet Gao, Jesús Gorrín, John Graham, Darien Huang, Tim Johnson, Hyunseob Kim, Mauricio Larrain, Angie Low, Pradeep Muthukrishnan, Diogo Palhares, Minchul Shin, Felipe Silva, Allan Timmermann, and seminar participants at the Bank of Portugal, Bristol Workshop on Banking, Cambridge University, George Washington University, Hoover Institution, KU Leuven, LUBRAFIN Conference, Manchester Business School, National Bank of Belgium, Penn State, SFS Cavalcade, Syracuse University, University of Connecticut, University of Georgia, University of Illinois, University of Kentucky, Warwick Business School, and Washington University St. Louis for many useful comments. We also thank the Business Dynamics Research Consortium for providing the Your-Economy Time-Series establishment data.

References

Acemoglu, D., and Restrepo, P.. “Robots and Jobs: Evidence from US Labor Markets.” Journal of Political Economy, 128 (2020), 2188–2244.CrossRefGoogle Scholar
Acharya, V. V.; Almeida, H.; and Campello, M.. “Aggregate Risk and the Choice Between Cash and Lines of Credit.” Journal of Finance, 68 (2013), 2059–2116.CrossRefGoogle Scholar
Alfaro, I.; Bloom, N.; and Lin, X.. “The Finance Uncertainty Multiplier.” NBER Working Paper No. 24571 (2018).CrossRefGoogle Scholar
Baker, S. R.; Bloom, N.; and Davis, S. J.. “Measuring Economic Policy Uncertainty.” Quarterly Journal of Economics, 131 (2016), 1593–1636.CrossRefGoogle Scholar
Bar-Ilan, A., and Strange, W.. “Investment Lags.” American Economic Review, 86 (1996), 610–622.Google Scholar
Bar-Ilan, A., and Strange, W.. “A Model of Sequential Investment.” Journal of Economic Dynamics and Control, 22 (1998), 437–463.CrossRefGoogle Scholar
Becker, S. O.; Fetzer, T.; and Novy, D.. “Who Voted for Brexit? A Comprehensive District-Level Analysis.” Economic Policy, 32 (2017), 601–650.CrossRefGoogle Scholar
Benhabib, B. Manufacturing: Design, Production, Automation, and Integration. Boca Raton, FL: CRC Press (2003).CrossRefGoogle Scholar
Berg, T.; Saunders, A.; Schäfer, L.; and Steffen, S.. “Brexit and the Contraction of Syndicated Lending.” Journal of Financial Economics, 141 (2020), 66–82.Google Scholar
Bernal, O.; Gnabo, J.-Y.; and Guilmin, G.. “Economic Policy Uncertainty and Risk Spillovers in the Eurozone.” Journal of International Money and Finance, 65 (2016), 24–45.CrossRefGoogle Scholar
Bloom, N. “The Impact of Uncertainty Shocks.” Econometrica, 77 (2009), 623–685.Google Scholar
Bloom, N. “Fluctuations in Uncertainty.” Journal of Economic Perspectives, 28 (2014), 153–175.CrossRefGoogle Scholar
Bloom, N.; Floetotto, M.; Jaimovich, N.; Saporta-Eksten, I.; and Terry, S. J.. “Really Uncertain Business Cycles.” Econometrica, 86 (2018), 1031–1065.CrossRefGoogle Scholar
Bushee, B. J.; Jung, M. J.; and Miller, G. S.. “Conference Presentations and the Disclosure Milieu.” Journal of Accounting Research, 49 (2011), 1163–1192.CrossRefGoogle Scholar
Campbell, J. Y., and Shiller, R. J.. “The Dividend–Price Ratio and Expectations of Future Dividends and Discount Factors. Review of Financial Studies, 1 (1988), 195–228.CrossRefGoogle Scholar
Campello, M.; Lin, C.; Ma, Y.; and Zou, H.. “The Real and Financial Implications of Corporate Hedging.” Journal of Finance, 66 (2011), 1615–1647.CrossRefGoogle Scholar
Cravino, J., and Levchenko, A. A.. “Multinational Firms and International Business Cycle Transmission.” Quarterly Journal of Economics, 132 (2016), 921–962.CrossRefGoogle Scholar
Davis, S. J. “An Index of Global Economic Policy Uncertainty.” Working Paper, University of Chicago Booth School of Business (2017).Google Scholar
Dumas, B.; Fleming, J.; and Whaley, R. E.. “Implied Volatility Functions: Empirical Tests.” Journal of Finance, 53 (1998), 2059–2106.CrossRefGoogle Scholar
Ghaly, M.; Dang, V. A.; and Stathopoulos, K.. “Cash Holdings and Labor Heterogeneity: The Role of Skilled Labor.” Review of Financial Studies, 30 (2017), 3636–3668.CrossRefGoogle Scholar
Gilchrist, S.; Sim, J. W.; and Zakrajšek, E.. “Uncertainty, Financial Frictions, and Investment Dynamics.” NBER Working Paper No. 20038 (2014).CrossRefGoogle Scholar
Grossman, G., and Shapiro, C.. “Optimal Dynamic R&D Programs.” Rand Journal of Economics, 17 (1986), 581–593.CrossRefGoogle Scholar
Gulen, H., and Ion, M.. “Policy Uncertainty and Corporate Investment.” Review of Financial Studies, 29 (2016), 523–564.Google Scholar
Hassan, T. A.; Hollander, S.; van Lent, L.; and Tahoun, A.. “The Global Impact of Brexit Uncertainty.” NBER Working Paper No. 26609 (2020).Google Scholar
Hoberg, G., and Moon, S. K.. “Offshore Activities and Financial vs. Operational Hedging.” Journal of Financial Economics, 125 (2017), 217–244.CrossRefGoogle Scholar
Hoberg, G., and Phillips, G.. “Text-Based Network Industries and Endogenous Product Differentiation.” Journal of Political Economy, 124 (2016), 1423–1465.CrossRefGoogle Scholar
Hollander, S.; Pronk, M.; and Roelofsen, E.. “Does Silence Speak? An Empirical Analysis of Disclosure Choices During Conference Calls.” Journal of Accounting Research, 48 (2010), 531–563.CrossRefGoogle Scholar
Julio, B., and Yook, Y.. “Political Uncertainty and Corporate Investment Cycles.” Journal of Finance, 67 (2012), 45–83.Google Scholar
Kim, H., and Kung, H.. “The Asset Redeployability Channel: How Uncertainty Affects Corporate Investment.” Review of Financial Studies, 30 (2016), 245–280.CrossRefGoogle Scholar
Klössner, S., and Sekkel, R.. “International Spillovers of Policy Uncertainty.” Economics Letters, 124 (2014), 508–512.CrossRefGoogle Scholar
Kulatilaka, N., and Perotti, E.. “Strategic Growth Options.” Management Science, 44 (1998), 1021–1031.CrossRefGoogle Scholar
Lee, J., and Shin, K.. “The Role of a Variable Input in the Relationship Between Investment and Uncertainty.” American Economic Review, 90 (2000), 667–680.CrossRefGoogle Scholar
Leigh, N. G., and Kraft, B. R.. “Emerging Robotic Regions in the United States: Insights for Regional Economic Evolution.” Regional Studies, 52 (2018), 804–815.CrossRefGoogle Scholar
Loughran, T., and McDonald, B.. “When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10-Ks.” Journal of Finance, 66 (2011), 35–65.CrossRefGoogle Scholar
Matsumoto, D.; Pronk, M.; and Roelofsen, E.. “What Makes Conference Calls Useful? The Information Content of Managers’ Presentations and Analysts’ Discussion Sessions.” Accounting Review, 86 (2011), 1383–1414.CrossRefGoogle Scholar
Mihalcea, R., and Tarau, P.. “TextRank: Bringing Order into Text.” In Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing. Barcelona, Spain: Association for Computational Linguistics (2004), 404–411.Google Scholar
Mixon, S.. “The Implied Volatility Term Structure of Stock Index Options.” Journal of Empirical Finance, 14 (2007), 333–354.CrossRefGoogle Scholar
Vuolteenaho, T.. “What Drives Firm-Level Stock Returns?” Journal of Finance, 57 (2002), 233–264.CrossRefGoogle Scholar
Wagner, A.; Zeckhauser, R. J.; and Ziegler, A.. “Company Stock Reactions to the 2016 Election Shock: Trump, Taxes and Trade.” Journal of Financial Economics, 130 (2018), 428–451.CrossRefGoogle Scholar
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