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An options-pricing approach to forecasting the French presidential election

Fry, John; Hastings, Thomas; Binner, Jane

Authors

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Dr John Fry J.M.Fry@hull.ac.uk
Senior Lecturer in Applied Mathematics

Thomas Hastings

Jane Binner



Abstract

A subjective probability argument suggests vote-share estimates from polling companies can be interpreted as market prices. The corresponding election constitutes the price at a known future date. This makes an options-pricing approach particularly attractive. In this setting vote-share estimates, the probability of winning the popular vote and the second-round qualification probability all have a convenient representation in terms of binary options prices. In this paper we develop options-pricing, vote-transfer and Monte Carlo methods to forecast the French presidential election. The approach fits well with the proportional and regimented two-stage nature of the French election but applies more broadly. Unusually for a French system characterised by uncertainty and constant flux the incumbent President Macron appears in a dominant position throughout the 2017 and 2022 elections albeit with no chance of an outright win in the first round.

Citation

Fry, J., Hastings, T., & Binner, J. (in press). An options-pricing approach to forecasting the French presidential election. Journal of the Operational Research Society, https://doi.org/10.1080/01605682.2024.2334339

Journal Article Type Article
Acceptance Date Mar 11, 2024
Online Publication Date Apr 8, 2024
Deposit Date Mar 11, 2024
Publicly Available Date Apr 9, 2025
Journal Journal of the Operational Research Society
Print ISSN 0160-5682
Publisher Taylor and Francis
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1080/01605682.2024.2334339
Keywords Forecasting; Finance; OR in societal problem analysis; Options Pricing; Politics
Public URL https://hull-repository.worktribe.com/output/4586538

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Publisher Licence URL
https://creativecommons.org/licenses/by-nc-nd/4.0/

Copyright Statement
© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group
This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.





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