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Betting and financial markets are cointegrated on election night

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  • Auld, T.

Abstract

We present a model linking prices of political binary options to financial assets that applies in the very particular circumstance of the overnight session following an election. Contrary to most of the existing literature, the model is derived from economic first principles and applies in a general setting. We find that under suitable assumptions, election and financial markets will be cointegrated. Deviations from risk neutrality lead to the presence of a non-linear term relating to risk in the cointegrating relationship. The model is tested on three recent political events: The 2014 Scottish independence referendum, the 2016 Brexit referendum and the 2016 US presidential election. Strong support is found for two events (the Brexit referendum and the 2016 Trump win). We find that weak market efficiency broadly holds although there are violations of the order of minutes to tens of minutes. This is apparently caused by betting markets leading financial markets, a phenomena that is observed for all three events. This finding is consistent with the conclusion of the existing literature that prediction markets have superior forecasting ability to other methods. A realistic ex-ante trading strategy is presented for Brexit that profits from these inefficiencies. However, the success is not repeated for the 2016 presidential election. This is due to an apparent deviation from risk neutrality that is not observed on the night of Brexit.

Suggested Citation

  • Auld, T., 2022. "Betting and financial markets are cointegrated on election night," Cambridge Working Papers in Economics 2263, Faculty of Economics, University of Cambridge.
    • Handle: RePEc:cam:camdae:2263
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    Cited by:

    1. Auld, T., 2022. "Political markets as equity price factors," Cambridge Working Papers in Economics 2264, Faculty of Economics, University of Cambridge.

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    More about this item

    Keywords

    Elections; Election market; Political risk; High frequency data; Pricing of risk;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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