Options markets as political forecasts: insights from the 2024 U.S. presidential race
Year: 2026
Type: article
Abstract: This paper presents a novel approach to forecasting U.S. presidential election outcomes by extracting market-implied probabilities from S&P 500 options prices. Leveraging a structural mixture model of Black–Scholes option pricing, I quantify the jump risk premium associated with electoral uncertainty, producing dynamic, risk-neutral probability estimates for Donald Trump's 2024 victory. The option-implied probabilities demonstrate remarkable stability and closely track winning chances observed in prediction markets and public opinion polls, while offering economically grounded signals that integrate both discrete electoral events and broader market risk.
Source: Quantitative Finance
Author: Sebastian M. Saiegh
Institution: University of California San Diego
Language: English
Subfield: Finance
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W7170180817