Journal of Political Institutions and Political Economy > Vol 4 > Issue 3

Political Fear and Loathing on Wall Street: Electoral Risk Hedging in the United States (1986–2020)

Sebastian Saiegh, Professor of Political Science, Department of Political Science, UC San Diego, USA, ssaiegh@ucsd.edu
 
Suggested Citation
Sebastian Saiegh (2023), "Political Fear and Loathing on Wall Street: Electoral Risk Hedging in the United States (1986–2020)", Journal of Political Institutions and Political Economy: Vol. 4: No. 3, pp 311-331. http://dx.doi.org/10.1561/113.00000080

Publication Date: 30 Nov 2023
© 2023 S. Saiegh
 
Subjects
Elections,  Campaigns,  Political economy,  Asset pricing,  Derivatives
 
Keywords
Political riskelectionsoption priceselection forecasts
 

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In this article:
Election Outcomes and Asset Prices 
Electoral Risk in the U.S. 
Election Forecasts and Option Prices 
Conclusions 
References 

Abstract

To the extent that asset prices are responsive to unexpected political events, hedging against election risk should be valuable to investors. This study uses option prices to investigate market expectations of electorally-induced financial risk in the United States between 1986 and 2020. The evidence reveals that the sensitivity of asset prices to U.S. national election outcomes is quite large, statistically significant, and varied substantially over time. A comparison between the electoral risk estimates (based on option prices) and the actual post-electoral volatility of stock market returns, indicates that hedging against election risk has become increasingly expensive over time. Finally, an examination of the 2016 presidential election suggests that options markets may provide more reliable estimates of electoral uncertainty than election forecasts based on public opinion polls and/or prediction markets.

DOI:10.1561/113.00000080

Online Appendix | 113.00000080_app.pdf

This is the article's accompanying appendix.

DOI: 10.1561/113.00000080_app

Supplementary Material | 113.00000080_supp.zip (ZIP).

This is the article's accompanying data.

DOI: 10.1561/113.00000080_supp