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Cannabis Stock Behavior and Investor’s Expectations on the TSX: A Mixed Method Approach

Author

Listed:
  • Oludamola Durodola

    (Business Faculty Lakeland College, Canada)

  • Deepika Chotee

    (Business Faculty Lakeland College, Canada)

Abstract

This study examines the behavior of cannabis stock on the Toronto Stock Exchange and why investors are interested in cannabis stock. The theory of heterogeneous beliefs, bounded rationality theory and the theory of addiction grounded the study. We employed basic descriptive statistics and the Kruskal-Wallis test including an in-depth interview of investors using convenience sampling methods. The study findings showed that cannabis stocks exhibit a higher-level of risk volatility when compared to speculative and growth stocks on the Toronto Stock Exchange within the period under investigation. Other findings show that cannabis stocks share similar characteristics with other speculative stocks but also possess unique features. Finally, investors are interested in cannabis stocks because of its potential for future strong earnings on the platform of the theory of addiction as discussed in the study.

Suggested Citation

  • Oludamola Durodola & Deepika Chotee, 2019. "Cannabis Stock Behavior and Investor’s Expectations on the TSX: A Mixed Method Approach," Proceedings of the 14th International RAIS Conference, August 19-20, 2019 018OD, Research Association for Interdisciplinary Studies.
  • Handle: RePEc:smo:epaper:018od
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    References listed on IDEAS

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    1. Brock, William A & LeBaron, Blake D, 1996. "A Dynamic Structural Model for Stock Return Volatility and Trading Volume," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 94-110, February.
    2. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
    3. Stephen Morris & Hyun Song Shin, "undated". "Approximate Common Knowledge and Co-ordination: Recent Lessons from Game Theory," CARESS Working Papres 97-8, University of Pennsylvania Center for Analytic Research and Economics in the Social Sciences.
    4. Franklin Allen & Stephen Morris & Hyun Song Shin, 2003. "Beauty Contests, Bubbles and Iterated Expectations in Asset Markets," Cowles Foundation Discussion Papers 1406, Cowles Foundation for Research in Economics, Yale University.
    5. Franklin Allen & Douglas Gale, 2004. "Financial Intermediaries and Markets," Econometrica, Econometric Society, vol. 72(4), pages 1023-1061, July.
    6. Shleifer, Andrei & Vishny, Robert W., 2003. "Stock market driven acquisitions," Journal of Financial Economics, Elsevier, vol. 70(3), pages 295-311, December.
    7. Yan Xiong & Haiyan Zhou & Sanjay Varshney, 2010. "The economic profitability of pre-IPO earnings management and IPO underperformance," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 34(3), pages 229-256, July.
    8. Bernard Dumas & Alexander Kurshev & Raman Uppal, 2009. "Equilibrium Portfolio Strategies in the Presence of Sentiment Risk and Excess Volatility," Journal of Finance, American Finance Association, vol. 64(2), pages 579-629, April.
    9. Pok-sang Lam & Stephen G. Cecchetti & Nelson C. Mark, 2000. "Asset Pricing with Distorted Beliefs: Are Equity Returns Too Good to Be True?," American Economic Review, American Economic Association, vol. 90(4), pages 787-805, September.
    10. William A. Brock & Cars H. Hommes, 1997. "A Rational Route to Randomness," Econometrica, Econometric Society, vol. 65(5), pages 1059-1096, September.
    11. Jose A. Scheinkman & Wei Xiong, 2003. "Overconfidence and Speculative Bubbles," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1183-1219, December.
    12. William A. Brock & Cars H. Hommes, 2001. "A Rational Route to Randomness," Chapters, in: W. D. Dechert (ed.), Growth Theory, Nonlinear Dynamics and Economic Modelling, chapter 16, pages 402-438, Edward Elgar Publishing.
    13. Sethi, Rajiv & Somanathan, E, 1996. "The Evolution of Social Norms in Common Property Resource Use," American Economic Review, American Economic Association, vol. 86(4), pages 766-788, September.
    14. Brock, William & Lakonishok, Josef & LeBaron, Blake, 1992. "Simple Technical Trading Rules and the Stochastic Properties of Stock Returns," Journal of Finance, American Finance Association, vol. 47(5), pages 1731-1764, December.
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    Cited by:

    1. Chen, Feilong & Choi, Sungchul & Fu, Chengbo & Nycholat, Joshua, 2021. "Too high to get it right: The effect of cannabis legalization on the performance of cannabis-related stocks," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 715-734.

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    Keywords

    cannabis; Toronto Stock Exchange (TSX); addiction; Canada;
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