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The 2016 US presidential election, opinion polls and the stock market

Kamal Upadhyaya (Department of Economics and Business Analytics, University of New Haven, West Haven, Connecticut, USA)
Raja Nag (Department of Accounting and Financial Studies, New York Institute of Technology, Old Westbury, New York, USA)
Demissew Ejara (Department of Accounting, Finance and Marketing, University of New Haven, West Haven, Connecticut, USA)

Journal of Financial Economic Policy

ISSN: 1757-6385

Article publication date: 11 December 2023

Issue publication date: 22 February 2024

100

Abstract

Purpose

The purpose of this paper is to study the impact of the 2016 presidential election polls on the stock market.

Design/methodology/approach

The empirical model includes daily stock returns as the dependent variable and past asset prices, 10-year treasury rates, opinion polls and VIX (market uncertainty) as explanatory variables with a one-year lag. The model was estimated using two sets of daily polling data: from July 1, 2015, to November 8, 2016, and from June 1, 2016, to November 8, 2016. Additional descriptive statistics, such as means and standard deviations, were also calculated.

Findings

The estimated results did not reveal any statistically significant effects of opinion polls in favor of one candidate over another on stock returns. Simple statistical tests, however, show that the market performed better when Trump held a polling advantage over Clinton.

Originality/value

To the best of the authors’ knowledge, this is the only study that has examined the effects of the 2016 presidential election polls on the US stock market. This study adds value to the understanding of the relationship between election polls and the stock market in the USA.

Keywords

Citation

Upadhyaya, K., Nag, R. and Ejara, D. (2024), "The 2016 US presidential election, opinion polls and the stock market", Journal of Financial Economic Policy, Vol. 16 No. 2, pp. 194-204. https://doi.org/10.1108/JFEP-10-2023-0310

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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