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Property crime and lottery-related anomalies

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  • Gao, Ya
  • Bradrania, Reza

Abstract

In this paper, we explore the association between property crime rate and lottery demand anomalies. Motivated by criminology literature that suggests a positive relation between crime and risk-taking, we conjecture that gambling propensity in the stock market is stronger (weaker) in regions with higher (lower) property crime rate. Consistent with our conjecture, we show that underperformance of lottery stocks, proxied by MAX, is more pronounced in the US regions with higher property crime rates compared to regions with lower property crime rates. Our results are robust to alternative proxies for lottery demand, such as alternative constructions of MAX and skewness measures, and various empirical tests. Our findings suggest variation in crime-induced gambling propensity affects financial market outcomes.

Suggested Citation

  • Gao, Ya & Bradrania, Reza, 2024. "Property crime and lottery-related anomalies," Global Finance Journal, Elsevier, vol. 59(C).
    • Handle: RePEc:eee:glofin:v:59:y:2024:i:c:s1044028323001229
    DOI: 10.1016/j.gfj.2023.100927
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    1. Bradrania, Reza & Gao, Ya, 2024. "Lottery demand, weather and the cross-section of stock returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 42(C).

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    More about this item

    Keywords

    MAX; Lottery-related anomalies; Crime; Property crime; Skewness; Expected returns;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • 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
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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