Abstract

The main purpose of this study is to review practical experience and provide guidance on the use of Stock-Trak software (trading virtual assets of various types of investment assets) by students to make investment decisions under uncertainty. The article uses such scientific methods of analysis as analysis, synthesis, comparison, abstraction and modeling. The information base for the study is students enrolled in bachelor’s degree programs in economics at Northeastern State University (USA). Based on the analysis of students’ reports for the period 2014-2017, it is established that the most common mistakes in the study of socio-economic processes include the neglect of transaction costs and the non-accounting of dividends in the calculations. For the most part, students have difficulty calculating financial ratios correctly because they are not sufficiently familiar with the procedure for acquiring investment assets using margin, and are unable to determine the initial amount of investment when purchasing assets using margin and have difficulty separating the profit option. Previous studies of methods and models of mastering knowledge of investment activities show that gamification of the educational process, an interactive form of practical exercises helps to improve the quality of communication of learning subjects, improve the overall level of learning effectiveness, as well as better mastering of knowledge through their practical use in the beginning. mode and subsequently in further professional activity. The results of the study may be useful to teachers in the financial and economic disciplines in terms of a detailed analysis of the major difficulties encountered by students in using the program and avoiding these errors in their activities.

Keywords: investments, mutual fund, options, portfolio, stock, Stock-Trak.

JEL Classification: A20, A22.

Cite as: Halil D. Kaya, Julia S. Kwok (2020). An Application Of Stock-Trak In ‘Investments’: What Common Mistakes Do Students Make While Studying Socioeconomic Processes? SocioEconomic Challenges, 4(1), 5-16. http://doi.org/10.21272/sec.4(1).5-16.2020.

References

1. Cebula, R. & Toma, M. (2002). The effect of classroom games on student learning and instructor evaluations, Journal of Economics and Finance Education, 1(2), Article 1. https://mpra.ub.uni-muenchen.de/55404/1/MPRA_paper_55404.pdf
2. Charlton Jr, W. T., Earl, J., & Stevens, J. J. (2015). Expanding management in student managed investment funds. Journal of Financial Education, 1-23. https://www.jstor.org/stable/24573676?seq=1
3. Clinebell, J., & Murphy, J. (2016). Student managed investment funds: the perspectives of alumni. Journal of Financial Education, 42(3-4), 304-312.
   https://www.jstor.org/stable/90001155?seq=1
4. D’Souza, F. P., & Johnson, M. A. (2019). Structuring an Endowment-Allocated Student Managed Fund Course. Business Education & Accreditation, 11(1), 51-60. http://www.theibfr2.com/RePEc/ibf/beaccr/bea-v11n1-2019/BEA-V11N1-2019-4.pdf
5. Felton, J., Gibson, B. & Sanbonmatsu, D. M. (2004). Preference for risk in investing as a function of trait optimism and gender, The Journal of Behavioral Finance, 4(1), 33-40. https://www.researchgate.net/profile/James_Felton/publication/228224426_Preference_for_Risk_in_Investing_as_a_Function_of_Trait_Optimism_and_Gender/
   links/0912f512e8312b474e000000.pdf
6. Girard, E., Pondillo, A., & Proctor, R. (2005). Conducting Performance Attribution Analysis in the Classroom Using Real Market Data. Journal of Financial Education, 57-76. https://www.researchgate.net/profile/Eric_Girard/publication/237439098_Conducting_Performance_Attribution_Analysis_in_the_Classroom_using_Real_Market_Data/
   links/0c960529cdb54617b4000000.pdf
7. Guo, W., Bayer, C., & Blair, D. (2013). Adapting STOCK-TRAK® in Executive MBA Investment Education. Journal of Executive Education, 1(2), 4. https://digitalcommons.kennesaw.edu/cgi/viewcontent.cgi?article=1083&context=jee
8. Harter, C. & Harter, J. F. R. (2010). Is financial literacy improved by participating in a stock market game? Journal for Economic Educators, 10(1), 21-32. https://libjournals.mtsu.edu/index.php/jfee/article/view/1459
9. He, F., Pearson, J., Mykytyn, P. P. & Sheng, Y. (2008), Risky Group Decision Making: A Comparative Analysis of FTF and CMC Teams in Stock-Trak Investment Simulations, AMCIS 2008 Proceedings, 239. https://pdfs.semanticscholar.org/7290/5fee4fb3ac6b7f9aad77da6902896365f80a.pdf
10. Heck, J. L., Ammermann, P. A., Runyon, L. R., & Conceicao, R. (2011). A new quantitative approach for the management of a student‐managed investment fund. Managerial Finance. https://www.emerald.com/insight/content/doi/10.1108/03074351111140261/full/html
11. Kahl, D. R. (1997). The challenges and opportunities of student-managed investment funds at metropolitan universities. Financial Services Review, 6(3), 197-200. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.392.3648&rep=rep1&type=pdf
12. Lawrence, E. C. (2008). Student managed investment funds: an international perspective. Journal of Applied Finance (Formerly Financial Practice and Education), 18(2). https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2698650
13. Lee, K., Miller, S., Velasquez, N., & Wann, C. (2013). The effect of investor bias and gender on portfolio performance and risk. The International Journal of Business and Finance Research, 7(1), 1-16. http://www.theibfr2.com/RePEc/ibf/ijbfre/ijbfr-v7n1-2013/IJBFR-V7N1-2013-1.pdf
14. Macy, A. (2010). Student-managed investment funds: a framework for regional schools. Academy of Educational Leadership Journal, 14, 47. https://www.abacademies.org/
    special-issues/special-issues-pdfs/aelj-vol-14-special-issue-2010.pdf#page=53
15. McLnerny, P. M. (2003). The student-managed investment fund at the high school level. The Clearing House, 76(5), 252-254. https://www.tandfonline.com/doi/abs/10.1080/00098650309602014?journalCode=vtch20
16. Moffit, T., C. Stull, & McKinney, H. (2010). Learning through equity trading simulation, American Journal of Business Education, 3(2). https://www.clutejournals.com/index.php/AJBE/article/view/386
17. Nguyen, T., & Luthar, V. K. (2015). Using Stock Trak Simulation in Finance Courses. https://digitalcommons.georgiasouthern.edu/sotlcommons/SoTL/2015/14/
18. Wann, C. R., & Lobo, B. J. (2010). Gender-based trading: evidence from a classroom experiment. Journal of Economics and Finance Education, 9(2), 54-61.
    https://www.economics-finance.org/jefe/econ/WannLobo.Economics.Vol9(2).pdf
19. Welch, S. (2014). Market Simulation Games for Undergraduate Investments Courses: Simple or Complicated? https://digitalcommons.csbsju.edu/cgi/
    viewcontent.cgi?article=1008&context=acct_pubs
20. Willey, T., Edwards, S., & Gondhalekar, V. (2008). Predictors of performance in an online financial management simulation. Journal of Business Case Studies (JBCS), 4(6), 35-42. https://www.clutejournals.com/index.php/JBCS/article/view/4786