Wealth and familiarity bias: sin stocks investment in Europe

Mohammed Hamdan (), Pedro Fernandez Calavia () and Nasir Aminu ()
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Mohammed Hamdan: Cardiff Metropolitan University
Pedro Fernandez Calavia: Cardiff Metropolitan University
Nasir Aminu: Cardiff Metropolitan University

Journal of Asset Management, 2024, vol. 25, issue 7, No 6, 714-725

Abstract: Abstract Our study investigates the relationship between European society’s wealth and how they invest in sin stocks—stocks of listed firms involved in producing tobacco, alcohol, and gambling goods and services returns. Using time series data from 24 European countries from 2000 to 2020 to check the performance of sin stocks, we tested 3 hypotheses to explore the possibility that sin stock returns are related to the wealth of the countries they are based on and to the levels of consumption of alcohol and gambling in those countries. Three quantitative methods are used to measure risk-adjusted returns of the sin stocks: the CAPM single-factor or market model, the Fama-French 3-factor model, and the Fama-French 5-factor model. We found significant evidence of the existence of abnormal returns. The evidence supports that sin stocks have a significant relation with the market, lower volatility, and have better risk-adjusted returns during times of economic downturn. Our results show that sin stocks from the wealthier Northern European countries yield higher risk-adjusted returns than their Southern and Easter European counterparts. We found familiarity bias in gambling sin stocks, which suggests that getting used to something seen as sinful can lead to a lower feeling of rejection. As it is common in behavioural finance, behind the data and numbers of the financial markets, ordinary human behaviour is an essential explanation that defies the orthodox concepts of mathematical efficiency.

Keywords: Sin stocks; Familiarity bias; Ethical investing; CAPM; Size premium; Portfolio returns (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1057/s41260-024-00360-5

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