Science for Education Today, 2022, vol. 12, no. 5, pp. 137–161
© Bekareva S. V., Getmanova A. V., Ivanova A. I., 2022
UDC: 
330.32+378

Effectiveness of an interactive method in teaching investment literacy: Factors determining the return of beginning investors’ portfolios

Bekareva S. V. 1 (Novosibirsk, Russian Federation), Getmanova A. V. 1 (Novosibirsk, Russian Federation), Ivanova A. I. 1 (Novosibirsk, Russian Federation)
1 Novosibirsk State University
Full text (Open Access) — Downloaded 491
Abstract: 

Introduction. The article examines how certain factors influence the efficiency of forming virtual portfolio of financial assets. The purpose of the article is to identify the factors that contribute to the investment return of beginning investors.
Materials and Methods. The methodological basis of the study includes Russian and international research articles devoted to enhancing financial and investment literacy on the national level, the role of financial education in successful investments, and the factors of return estimations for various groups of investors, including young people and beginners. The research was carried out at Novosibirsk State University (the Faculty of Economics). Portfolios produced by 396 students majoring in Economics, Management, and IT Business, who completed the ‘Financial Markets and Financial Institutions’ module were analyzed. The portfolios were completed in 2020, 2021, and 2022. The dependent variable in the econometric model was an investment portfolio return. The main factors considered for this research included students' academic performance, academic year, degree programme, age, gender, and financial asset structure of each portfolio.
Results. The review of the scholarly literature allowed to identify the following potential return factors: investment literacy, educational background, personal behaviour characteristics, gender, financial market shocks, and economic crises.
It was found that portfolio return is determined by the following factors: economic instability influencing financial markets, students’ academic performance in finance disciplines which is closely connected to their investment literacy and personality features revealed in the portfolio structure. However, age, degree programme and gender did not show any significant influence on the project outcome.
Conclusions. Identifying the factors of students’ investment portfolio return enabled the authors to determine further development of the financial course with the interactive method in teaching investing literacy. Taking into consideration economic instability factor significance, it is necessary to discuss financial assets characteristics and dynamics during economic crises. In general, investment literacy increase influences the result positively.

Keywords: 

Financial literacy; Investment literacy; Beginning investor; Student; Investment portfolio return; Financial assets; Economic instability; Interactive teaching method.

For citation:
Bekareva S. V., Getmanova A. V., Ivanova A. I. Effectiveness of an interactive method in teaching investment literacy: Factors determining the return of beginning investors’ portfolios. Science for Education Today, 2022, vol. 12, no. 5, pp. 137–161. DOI: http://dx.doi.org/10.15293/2658-6762.2205.08
References: 
  1. Abysheva A. V., Korchemkina E. S. Topical issues of improving financial literacy of the population: Domestic and foreign experience. The Eurasian Scientific Journal, 2018, vol. 2 (10), pp. 1. (In Russian) URL: https://elibrary.ru/item.asp?id=35194081 
  2. Kuznetsov O. V., Ivanov A. V., Vorovskii N. V., Shevalkin I. S. Institutionalization of financial literacy of the adult population of Russia. Finance: Theory and Practice, 2020, vol. 24 (1), pp. 34–45. (In Russian) DOI: https://doi.org/10.26794/2587- 5671-2020-24-1-34-45  URL: https://elibrary.ru/item.asp?id=42672710 
  3. Sherstobitova S. V., Pletneva T. V. Increasing the Level of financial literacy of a person from the position of teaching investment. Modern Pedagogical Education, 2021, no. 11, pp. 202–207. (In Russian) DOI: https://doi.org/10.24412/2587-8328-2021-11-202-207  URL: https://www.elibrary.ru/item.asp?id=47348550 
  4. Yamori N., Ueyama H. Financial literacy and low stock market participation of Japanese households. Finance Research Letters, 2022, vol. 44, pp. 102074. DOI: https://doi.org/10.1016/j.frl.2021.102074
  5. Halim Z. A., Zolkefli M. N., Kusairi S., Nor S. M. Investment literacy, social influence and undergraduates’ readiness to invest: Dataset from Malaysia. Data in Brief, 2021, vol. 34, pp. 106700. DOI: https://doi.org/10.1016/j.dib.2020.106700
  6. Gui Z., Huang Y., Zhao X. Whom to educate? Financial literacy and investor awareness. China Economic Review, 2021, vol. 67, pp. 101608. DOI: https://doi.org/10.1016/j.chieco.2021.101608
  7. Gerrans P. Undergraduate student financial education interventions: Medium term evidence of retention, decay, and confidence in financial literacy. Pacific-Basin Finance Journal, 2021, vol. 67, pp. 101552. DOI: https://doi.org/10.1016/j.pacfin.2021.101552
  8. Mouna A., Anis J. Financial literacy in Tunisia: Its determinants and its implications on investment behavior. Research in International Business and Finance, 2017, vol. 39, part A, pp. 568–577. DOI: https://doi.org/10.1016/j.ribaf.2016.09.018
  9. Giofre M. Financial education, investor protection and international portfolio diversification. Journal of International Money and Finance, 2017, vol. 71, pp. 111–139. DOI: http://dx.doi.org/10.1016/j.jimonfin.2016.11.004 
  10. Kim H., Kim K. T., Hanna S. The effect of investment literacy on the likelihood of retail investor margin trading and having a margin call. Finance Research Letters, 2022, vol. 45, pp. 102146. DOI: https://doi.org/10.1016/j.frl.2021.102146
  11. Li J., Li Q., Wei X. Financial literacy, household portfolio choice and investment return. Pacific-Basin Finance Journal, 2020, vol. 62, pp. 101370. DOI: https://doi.org/10.1016/j.pacfin.2020.101370
  12. Jiang J., Liao L., Wang Z., Xiang H. Financial literacy and retail investors’ financial welfare: Evidence from mutual fund investment outcomes in China. Pacific-Basin Finance Journal, 2020, vol. 59, pp. 101242. DOI: https://doi.org/10.1016/j.pacfin.2019.101242
  13. Hermansson C., Jonsson S., Liu L. The medium is the message: Learning channels, financial literacy, and stock market participation. International Review of Financial Analysis, 2022, vol. 79, pp. 101996. DOI: https://doi.org/10.1016/j.irfa.2021.101996 
  14. Azizah U. S. A., Mulyono H. Dataset on determinants of intention and investment behaviour amongst young Indonesian millennials. Data in Brief, 2020, vol. 32, pp. 106083. DOI: https://doi.org/10.1016/j.dib.2020.106083
  15. Chen T.-H., Ho R.-J., Liu Y.-W. Investor personality predicts investment performance? A statistics and machine learning model investigation. Computers in Human Behavior, 2019, vol. 101, pp. 409–416. DOI: https://doi.org/10.1016/j.chb.2018.09.027
  16. Uhr C., Meyer S., Hackethal A. Smoking hot portfolios? Trading behavior, investment biases, and self-control failure. Journal of Empirical Finance, 2021, vol. 63, pp. 73–95. DOI: https://doi.org/10.1016/j.jempfin.2021.05.006
  17. Meyer S., Uhr C. The Ulysses option: Smoking and delegation in individual investor decisions. Finance Research Letters, 2022, vol. 46, part B, pp. 102478. DOI: https://doi.org/10.1016/j.frl.2021.102478
  18. Nivorozhkina L. I., Sinyavskaya T. G., Novikov D. S. Statistical evaluation of student’s exposure to financial risks. Financial Research, 2014, no. 4, pp. 215–222. (In Russian) URL: https://www.elibrary.ru/item.asp?id=23069045 
  19. Malkina M. Yu., Rogachev D. Yu. Interrelation of financial literacy in the sphere of digital technologies with personal characteristics of Russian students: The gender aspect. Woman in Russian Society, 2018, no. 3, pp. 104–115. DOI: https://doi.org/10.21064/WinRS.2018.3.10 URL: https://www.elibrary.ru/item.asp?id=35647098
  20. Malkina M. Yu., Rogachev D. Yu. Influence of personal characteristics on the financial behavior of youth. Journal of Institutional Studies, 2019, vol. 11 (3), pp. 135–152. (In Russian) DOI: https://doi.org/10.17835/2076-6297.2019.11.3.135-152 URL: https://www.elibrary.ru/item.asp?id=41177152
  21. Hsu Y.-L., Chen H.-L., Huang P.-K., Lin W.-Y. Does financial literacy mitigate gender differences in investment behavioral bias? Finance Research Letter, 2021, vol. 41, pp. 101789. DOI: https://doi.org/10.1016/j.frl.2020.101789
  22. Cupak A., Fessler P., Schneebaum A. Gender differences in risky asset behavior: The importance of self-confidence and financial literacy. Finance Research Letters, 2021, vol. 42, pp. 101880. DOI: https://doi.org/10.1016/j.frl.2020.101880
  23. Reiter-Gavish L., Qadan M., Yagil J. Investors’ personal characteristics and trading decisions under distressed market conditions. Borsa Istanbul Review, 2022, vol. 22 (2), pp. 240–247. DOI: https://doi.org/10.1016/j.bir.2021.04.005
  24. Cardak B. A., Martin V. L., McAllister R. The effect of the global crisis on the stock holding decisions of Australian households. North American Journal of Economics and Finance, 2019, vol. 50, pp. 100983. DOI: https://doi.org/10.1016/j.najef.2019.04.026 
  25. Chiah M., Tian X., Zhong A. Lockdown and retail trading in the equity market. Journal of Behavioral and Experimental Finance, 2022, vol. 33, pp. 100598. DOI: https://doi.org/10.1016/j.jbef.2021.100598
Date of the publication 30.10.2022