The Global Stock Market Reactions to the 2016 U.S. Presidential Election

Author:

Diaconaşu Delia1ORCID,Mehdian Seyed2,Stoica Ovidiu3ORCID

Affiliation:

1. Department of Social Sciences and Humanities, Institute of Interdisciplinary Research, Alexandru Ioan Cuza University of Iasi, Iasi, Romania

2. School of Management, University of Michigan-Flint, MI, USA

3. Faculty of Economics and Business Administration, Alexandru Ioan Cuza University of Iasi, Iasi, Romania

Abstract

Donald Trump’s victory in the 2016 presidential election was a political surprise to almost everyone, domestically and internationally. This paper investigates international investors’ reaction to this apparent global political surprise. Employing an event study methodology, we test the three widely known behavioral hypotheses concerning international investor reaction to this unexpected news, that is, the Overreaction Hypothesis (OH), the Uncertain Information Hypothesis (UIH), and the Efficient Market Hypothesis (EMH). The study results show that most of the indexes initially reacted unfavorably to the announcement of Trump’s win; however, subsequent stock index returns exhibit corrective upward patterns consistent with the predictions of the OH, except for the Latin American and France markets. The reactions of the other indexes appear to be favorable and in line with the prediction of the UIH. These findings suggest that in most countries under study, investors could utilize contrarian strategies to generate abnormal returns, as evidenced by price reversal following the arrival of the surprise. JEL classification: G14, G15.

Funder

Romanian Ministry of Research, Innovation and Digitization, within Program 1 – Development of the national RD system, Subprogram 1.2 – Institutional Performance – RDI excellence funding projects

Publisher

SAGE Publications

Subject

General Social Sciences,General Arts and Humanities

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. In Dice We Trust: Uncertainty Displays for Maintaining Trust in Election Forecasts Over Time;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

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