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This study aims to examine the relationship between investor gambling preferences and stock returns, using data for all firms listed in Shanghai A-share market during 2016 and 2021.

This study employs price and trading volume data to capture the behavioral characteristics and gambling preferences of investors. Using the Fama-French three-factor and five-factor models to estimate benchmark returns, this study investigates whether investing in gambling stocks can yield positive excess returns.

The study reveals that stocks identified as gambling stocks generate high returns in the month they are identified as such but subsequently experience a significant drop in excess returns compared to non-gambling stocks over the following one to six months. These results are found to be consistent across different methods used to classify gambling stocks and across various industry sectors.

This research provides insights into the risk-return tradeoff of different stock types and the factors that fuel irrational investment behavior. This research underscores the importance of considering the behavioral elements of investment, particularly in emerging markets where individual investors have a significant impact.

This study advises investors to avoid adopting a gambler or speculative mindset and instead make well-informed and calculated investment decisions that are in line with investors financial objectives and risk appetite. This approach can help create a more stable and sustainable financial market.

This study provides new evidence on the relationship between gambling preferences and future stock returns in financial markets and sheds new light on the important role of irrational factors in investment decisions.

The purpose of this paper is to explore the prevalence of potential problem gambling among Finnish prisoners; the associations between problem gambling and demographics, substance use and crime-related factors; and problem gamblers’ support preferences.

Prisoners (n=96) from two Finnish prisons were recruited between December 2017 and January 2018. The estimated response rate was 31 percent. Gambling problems were measured using the Brief Biosocial Gambling Screen. The participants were asked to report their gambling both for one year prior to their incarceration and for the past year. The independent variables were demographics (age, gender and marital status), substance use (alcohol, smoking and narcotics) and crime-related factors (crime type, prison type and previous sentence). Statistical significance (p) was determined using Fischer’s exact test.

Past-year pre-conviction problem gambling prevalence was 16.3 percent and past-year prevalence 15 percent. Age, gender, smoking, alcohol or illicit drug use were not associated with past-year problem gambling before sentencing. One-third of the prisoners (33.3 percent) who were sentenced for a property crime, financial crime or robbery were problem gamblers. One-quarter (24 percent) of all participants showed an interest in receiving support by identifying one or more support preferences. The most preferred type of support was group support in its all forms.

It is recommended that correctional institutions undertake systematic screening for potential problem gambling, and implement tailored intervention programs for inmates with gambling problems.

This study provides a deeper understanding of problem gambling in prisons. Problem gambling is associated with crime and also seems to be linked with serving a previous sentence. Early detection and tailored interventions for problem gambling may help to reduce reoffending rates.

An estimated 1.2 million students gamble, equating to approximately two in every three students. In the UK, university students have reached the legal age to gamble; many have received significant sums of financial support and will be responsible for managing their own finances. Some UK universities have acknowledged that students engage in gambling activity and the need to provide gambling-related support. However, more research is needed to better understand student gambling activities and how universities can optimise provision of support. The purpose of this study was to enhance this understanding.

A total of 210 university students completed an online survey to provide details of their gambling behaviour and views on the types of support that they felt would best support students.

Both gambling and non-gambling students reported a preference for specialised gambling-related support within student services without the requirement for gambling-focused workshops (p < 0.01). Follow-up analysis revealed a significantly greater proportion of females did not gamble (p < 0.01), that males spent more money when gambling (p < 0.01) and were higher risk gamblers than females (p < 0.01).

These results provide evidence for gambling support to feature overtly as part of university support and well-being services.

This paper investigates how the gambling measure captures market bubble events, and how it predicts stock return and option return.

This paper proposes a gambling activity measure by jointly considering open interest and moneyness of out-of-the-money (OTM) individual equity call options.

The new measure, CallMoney, captures excessive optimism during the dot-com bubble, the oil price bubble and the pre-GFC stock market bubble. CallMoney robustly and negatively predicts both OTM and at-the-money call option returns cross-sectionally. The option return predictability of CallMoney is stronger when stock price is further from its 52-weeks high, capital gains overhang is lower, and when information uncertainty of the underlying stock is higher. CallMoney also robustly and negatively predicts cross-sectional stock returns.

The gambling measure has the advantages of being economically intuitive, model-free, easy to measure. The measure performs more robustly than existing lottery measures with respect to option and stock return predictability and more reliably captures the overpricing of options and stocks. The work helps understanding the gambling related anomalies in equity option returns and stock returns.

This paper studies the effects of lottery preference on stock market participation at the macro level.

The authors use the abnormal search volume intensity for lottery-related keywords from the Baidu search engine to capture retail investors' lottery preference. To measure stock market participation, they use five different macro-level measures from various angles. They perform the time series regression analysis in their empirical study.

First, the validation tests show that the lottery preference index in this study is reasonable. Further, the authors find that lottery preference increases people's propensity to enter and trade in the stock market. Besides, they find that the effect on trading behavior is asymmetric, that is, high lottery preference has a more significant impact on trading behavior than low lottery preference. However, lottery preference has no significant effect on the stockholding.

This paper contributes to the growing literature that examines the determinants of stock market participation and the role of lottery/gambling preference in the financial market. It also provides direct and novel evidence for Statman's (2002) conclusions about the similarity of lottery players and stock traders.

In the current study, the significance of extreme positive returns has been investigated in the pricing of stocks in the Indian equity market. This study aims to understand if investors in India have a preference for lottery-like stocks. The existing literature provides support for MAX effect in several countries, where risk seeking in the form of gambling is an acceptable form of social behavior, suggesting a preference for lottery-like stocks. This motivates the authors to investigate whether such preference for lottery-like stocks is prevalent in a country such as India with a different cultural setting, where gambling is not socially and legally encouraged.

The MAX effect is tested in the Indian market for the period from January 2003 to March 2017. The average number of firms per month in this study is 2,949. Univariate and bivariate portfolio-level analyses, as well as Fama MacBeth regressions, are conducted to observe the difference between average raw and risk-adjusted returns between the stocks lying in the highest and lowest MAX deciles. Several tests have been performed for checking the robustness of the findings.

Unlike the extant literature, the authors have not found any evidence of a negative relationship between extreme positive returns and expected returns. The univariate and bivariate analyses suggest that high MAX deciles over-perform low MAX deciles. Fama Macbeth regressions also do not support the negative relationship documented for other markets. This suggests that investors are not euphoric about lottery-like stocks in India. One may devise profitable trading strategies by going long on high MAX deciles and short on low MAX deciles.

This study finds a behavioral aspect of Indian investors, which seems to be in contrast to that of other countries. While there is a strong preference for lottery-like stocks in other markets, investors in India do not end up overpaying for such stocks in the market. This tendency might be an outcome of a different social and regulatory setting in India. In view of the fact that India is increasingly becoming an important investment destination, it becomes important to devise investment strategies based on the peculiarities of this market rather than simply extrapolating the findings of other markets.

Slot machines and other machine gaming generate between 65 percent and 90 percent of a US casino's revenue. This article aims to examine the motivations, behaviors, and preferences of slot machine customers, and to develop market segments.

The study's objectives include: understanding the demographic, gambling motivation, and gambling behavioral characteristics of slot machine players; identifying important reasons for choosing one slot machine game over another; examining player attitudes and behaviors pertaining to progressive machines; and investigating player desire for theme‐based games. This was accomplished through an online survey of slot machine players.

Profiles of slot machine players are developed and the slot players are segmented into four clusters that explain motivations and game preferences.

This article fills in some of the gaps in understanding the gambling behavior of slot players. This study can help gaming machine manufacturers design new products and features to serve existing machine gaming customers and to attract new customers. Casino and other gaming operators can use this information not only to select the right types of machines to provide on‐site, but also to develop advertising and promotions to attract and retain new and existing customers for slot machines and other types of gaming machines.

This is the first published study that segments slot machine players from a marketing perspective and identifies their preferences, behaviors, and demographic groupings.

To highlight the compliance issues which face gambling entities with the implementation of the Financial Action Task Force's (FATF's) 2003 Forty Recommendations

To determine the gambling sector's attitudes towards the FATF's new anti‐money recommendations their responses to an earlier FATF consultation paper are analysed. Interested parties were asked to provide feedback on a number of options proposed by the FATF. Twenty six of the 145 respondents provided feedback on issues relating to the gambling sector. It is these responses that form the bases of the analysis in this paper.

The preferences of the gambling sector were not taken on board by the FATF. The increased customer due diligence (CDD), suspicious transaction reporting and the identification of politically exposed persons will be a burden on casino operators, the only gambling sector to be specifically identified in the new recommendations. Non‐compliance could be a serious issue.

The small number of responses from the gambling sector does place limitations on the ability to generalise the outcomes to the global gambling industry, though five of the respondents were gambling organisations.

For regulators, the possibility of non‐compliance by the gambling sector should be addressed as should the likelihood of pressure for reduced CDD procedures.

The FATF's updated 2003 Forty Recommendations impose considerable compliance costs on the financial sector. A number of other business sectors are also caught within the scope of these new recommendations. This paper addresses anti‐money laundering compliance issues for the gambling sector, an area not previously explored.

This study investigates the implications of the cumulative prospect theory in the context of US bank acquisitions, with particular emphasis on its probability weighting component. Specifically, we examine whether gambling attitudes matter in US bank takeover decisions. The evidence demonstrates that offer price premiums and target announcement returns are much higher in bank takeover transactions involving targets with gambling (lottery) features (high skewness, high volatility, and low price). Overall, the results indicate that banking acquisitions are influenced by gambling attitudes.

To measure idiosyncratic skewness, we follow Harvey and Siddique (2000) and Kumar (2009) and decompose total skewness into its idiosyncratic and systematic components.

The evidence demonstrates that offer price premiums and target announcement returns are much higher in bank takeover transactions involving targets with gambling (lottery) features (high skewness, high volatility, and low price). In addition, we find that synergies and bidder announcement returns are lower in lottery‐type acquisitions. The patterns we document are stronger when bidding banks are bigger, target banks are smaller, investor sentiment is above the median, and the Chicago Fed National Activity Index is negative.

This is an original piece of work in the field of banking.