Is There A Relationship between Participation in Gambling Activities and Participation in High-Risk Stock Trading?
Keywords:Gambling, High-Risk Stocks, Investing, Stock Market, Trading, Speculation, Risk
AbstractThe purpose of the present study was to investigate whether or not there is an association between engaging in traditional forms of gambling and engaging in high-risk stock trading and, if so, to examine game play patterns of high-risk stock traders, as well as identify any socio-demographic similarities or differences between the two groups. Logistic regressions on data from two large Canadian data sets were undertaken to examine which variables best differentiate traditional gamblers from high-risk stock traders. The results indicate that high-risk stock traders have a higher frequency of gambling, engage in a larger range of gambling activities, and are more likely to be problem gamblers. Additionally, the type of gambling activities that high-risk stock traders participate in suggests that they are a sub-group of skill-based gamblers who also prefer gambling on casino table games, sports betting, dog and horse race betting, and games of skill for money over chance based games such as electronic gaming machines, bingo, and instant win tickets. High-risk stock traders, compared to traditional gamblers were more likely to be male, have a higher income, be better educated, and to be of Asian or “other” descent, not be divorced, widowed or separated, and be self-employed or employed full-time. However, unlike other skill-based gamblers, high-risk stock traders tended to be older rather than younger, and had a high income rather than a low income.
Barber, B. M., & Odean, T. (2001b). The internet and the investor. Journal of Economic Perspectives, 151, 41–54.
Barber, B. M., & Odean, T. (2000). Trading is hazardous to your wealth: The common stock investment performance of individual investors. Journal of Finance, 55 (2), 773-806.
Borna, S., & Lowry, J. (1987). Gambling and speculation. Journal of Business Ethics, 6 (3), 219-224.
Council of American Survey Research Organizations (CASRO). (1982). On the Definition of Response Rates. Port Jefferson, NY: CASRO.
Culin, S. (1907). Games of the North American Indians. New York: Dover.
Delfabbro, P.H. (2000). Gender differences in Australian gambling: a critical summary of sociological and psychological research. Australian Journal of Social Issues, 35, 145–157.
Dorn, D., & Sengmueller, P. (2009). Trading as entertainment? Management Science, 55 (4), 591-603.
Ferris, J. & Wynne, H. (2001). The Canadian Problem Gambling Index: Final Report. Ottawa, ON: Canadian Centre on Substance Abuse.
Gerstein, D., Murphy, S., Toce, M., Hoffmann, J., Palmer, A., Johnson, R., Larison, C., et al. (1999). Gambling Impact and Behavior Study: Report to the National Gambling Impact Study Commission. Chicago: National Opinion Research Center.
Grinblatt, M., & Keloharju, M. (2000). The investment behavior and performance of various investor types: a study of Finland’s unique data set. Journal of Financial Economics, 55, 43-68.
Investor Home (2001). On-line resource, last accessed, January, 25th, 2014 from http://www.investorhome.com/darts.htm
Kumar, A. (2009). Who gambles in the stock market? Journal of Finance, 64 (4), 1889-1933.
Lesieur, H. R. & Blume, S. B. (1987). The South Oaks Gambling Screen (SOGS): A new instrument for the identification of pathological gamblers. American Journal of Psychiatry, 144(9).
Linnainmaa, J. (2003a). The anatomy of day traders. Available at SSRN: http://ssrn.com/abstract=472182
Linnainmaa , J. (2003b). Who makes the limit order book? Implications for contrarian strategies, attention-grabbing hypothesis and the disposition effect. Available at SSRN: http://ssrn.com/abstract=474222.
Markiewicz, L., & Weber, E. U. (2013). DOSPERT's gambling risk-taking propensity scale predicts excessive stock trading. The Journal of Behavioral Finance, 14, 65-78. doi:10.1080/15427560.2013.762000
McMillen, J. (1996). Understanding gambling. Gambling Cultures: Studies in History and Interpretation, 6-42.
Mishra, S, & Lalumière, M. L. (2010). You don’t always get what you want: the motivational
effect of need on risk-sensitive decision-making. Journal of Experimental Social
Psychology, 46, 605-611.
Rabin, M. & Schrag J. L. (1999). First impressions matter: A model of confirmatory bias. The Quarterly Journal of Economics, 114 (1), 37-82.
Salter MA (1974). An analysis of the role of games in the fertility rituals of the native North American. Anthropos, 69, 494–504.
Stevens, M. & Young, M. (2010). Who plays what? Participation profiles in chance versus skill-based gambling. Journal of Gambling Studies, 26, 89-103.
Stout, L. A. (1996). Insurance or gambling? Derivatives trading in a world of risk and uncertainty. The Brookings Review, winter, 38-41.
Williams R. J., Stevens, R. M. G., & Nixon, G. (2011). Gambling and problem gambling in North American Aboriginal people. In Y.D. Belanger (ed.), First Nations Gaming in Canada. pp. 166- 194. Winnipeg, Manitoba: University of Manitoba Press.
Williams, R. J., & Volberg, R. A. (2010). Best Practices in the Population Assessment of Problem Gambling. Report submitted to the Ontario Problem Gambling Research Centre. Guelph, Ontario. March 31, 2010.
Williams, R. J., & Volberg, R. A. (2014). Classification Accuracy of Four Problem Gambling Assessment Instruments. International Gambling Studies, 14 (1), 15-28.
Williams, R. J., Volberg, R. A. & Stevens, R. M. G. (2012). Population Assessment of Problem Gambling: Methodological Influences, Standardized Rates, Jurisdictional Differences, and Worldwide Trends. Report prepared for the Ontario Ministry of Health and Long-Term Care and the Ontario Problem Gambling Research Centre. May 8, 2012. http://hdl.handle.net/10133/3068
Williams, R. J., Volberg, R. A., Stevens, R. M. G., & Williams, L. A. (2015). The Gambling Participation Instrument (GPI): A Reliable, Valid, and Comprehensive Tool for Assessing Gambling Participation. Report prepared for the Canadian Consortium for Gambling Research. 2015.
Wood, R.T. & Williams, R.J. (2009). Internet Gambling: Prevalence, Patterns, Problems, and Policy Options. Final Report prepared for the Ontario Problem Gambling Research Centre,
Guelph, Ontario. January 5, 2009. http://hdl.handle.net/10133/693
Wood, R. T. & Williams, R. J. (2011). A comparative profile of the Internet gambler: demographic characteristics, game play patterns, motivations, and problem gambling status. New Media & Society, 13(7), 1123-1141.
Wood, R. T. & Williams, R. J. (2012). The Casino City study: A large scale international study of online
gamblers. In Routledge International Handbook of Internet Gambling by Williams, R. J., Wood, R. T., & Parke, J (eds). Routledge: London. Pp. 103-125.
Young M, Barnes T, Stevens M, Paterson M & Morris M (2007). The changing landscape of indigenous gambling in Northern Australia: Current knowledge and future directions. International Gambling Studies,7 (3), 327-343. doi:10.1080/14459790701601497
Young, M., & Stevens, M. (2009). Player preferences and social harm: An analysis of the relationships between player characteristics, gambling modes, and problem gambling. International Journal of Mental Health and Addiction 7 (1), 262-279. DOI: 10.1007/s11469-008-9185-x