Do Financing and Investment- Based Courses Influence the Gen-Z Investment?

The number of young investors in Indonesia has grown significantly in recent years, marking a notable shift in the country’s investment landscape. Although the total assets of younger investors are smaller compared to those of older investors, their increasing participation has positively influenced the development of the investment sector and improved financial literacy among younger generations. Based on this phenomenon, the purpose of this study is to examine the attitudes of Generation Z as the young investors towards business and management programs, the use of investment applications, and robo-advisor services. The research focuses on two distinct groups: students who have had prior exposure to finance and investment-related courses, and those who have not had such courses. The method used was structured focus group discussions to explore students’ knowledge and experiences, then supplemented with a survey questionnaire to validate findings and provide deeper insights. The research concluded that there were no significant differences between the two cohorts regarding their interest in understanding and the importance of investments. Some participants had already started investing without formal financial education, while others explored unconventional investments such as collectible hobby items. Moreover, participants generally trusted risk assessments provided by robo-advisors, but many of them were hesitant to follow the recommendations. They expressed a greater confidence in their ability to make independent investment decisions. 

1. Ülkü N., Ali F., Saydumarov S., İkizlerli D. COVID caused a negative bubble. Who profited? Who lost? How stock markets changed? Pacific Basin Finance Journal. 2023;79:102044. DOI: 10.1016/j.pacfin.2023.102044

2. Cahill D., Ho C., Yang J. Mobility during the COVID-19 pandemic and retail investor attention. SSRN Electronic Journal. 2021. DOI: 10.2139/ssrn.3779295

3. Tutuncu L. The changing investor demographics of an emerging IPO market during the COVID-19 pandemic. China Finance Review International. 2023;13(3):342-361. DOI: 10.1108/CFRI-07-2022-0111

4. Ortmann R., Pelster M., Wengerek S. T. COVID-19 and investor behavior. Finance Research Letters. 2020;37:101717. DOI: 10.1016/j.frl.2020.101717

5. Smales L. A. Investor attention and global market returns during the COVID-19 crisis. International Review of Financial Analysis. 2021;73:101616. DOI: 10.1016/j.irfa.2020.101616

6. Chung C. S. The devil you know: A survey examining how retail investors seek out and use financial information and investment advice. Review of Banking & Financial Law. 2017-2018;37:653-753. URL: https://www.bu.edu/rbfl/files/2018/12/Chung-653.pdf

7. Oehler A., Höfer A. Wendt S. Do key investor information documents enhance retail investors’ understanding of financial products? Empirical evidence. Journal of Financial Regulation and Compliance. 2014;22(2):115-127. DOI: 10.1108/JFRC-10-2013-0035

8. Kersting L. M., Marley R. N., Mellon M. J. The association between financial literacy and trust in financial markets among novice nonprofessional investors. Academy of Accounting and Financial Studies Journal. 2015;19(3):201216.

9. Kaneko H. Individual investor behavior. Tokyo: Security Analysts Association of Japan; 2004. 15 p. URL: https://www.saa.or.jp/english/professional/pdf/hisashikaneko.pdf

10. Tsiaplias S., Zeng Q., Lim G. C. Retail investor trading intentions: New evidence from Australia. Economic Record. 2023;99(327):512-535. DOI: 10.1111/1475-4932.12752

11. Gautam C., Wadhwa R., Raman T. V. Role of personality traits and perceptive factors in determining stock market investment intentions. Finance: Theory and Practice. 2024;28(4):18-32. DOI: 10.26794/2587-5671-2024-28-418-32

12. Arumsari Y. K., Surachman, Sumiati, Andarwati. Factors affecting financial decision making: The women lecturer’s perspective. Finance: Theory and Practice. 2024;28(4):33-45. DOI: 10.26794/2587-5671-2024-28-433-45

13. Le Fur E., Outreville J. F. Financial literacy, education and risk aversion: a survey of French students. Managerial Finance. 2022;48(910):1530-1543. DOI: 10.1108/MF-10-2021-0509

14. Pintér É., Bagó P., Berényi L., et al. How do digitalization and the fintech phenomenon affect financial decision-making in the younger generation? Acta Polytechnica Hungarica. 2021;18(11):191-208. URL: https://acta.uniobuda.hu/Pinter_Bago_Berenyi_Molnar_Deutsch_Szigeti_Pinter_118.pdf

15. Nag A. K., Shah J. An empirical study on the impact of Gen Z investors’ financial literacy to invest in the Indian stock market. Indian Journal of Finance. 2022;16(10):43-59. DOI: 10.17010/ijf/2022/v16i10/172387

16. Karunakaran S., Gopinathan N. Role of digitalisation in rural banking sector in Madurai, India. Finance: Theory and Practice. 2023;27(1):76-90. DOI: 10.26794/2587-5671-2023-27-1-76-90

17. Worasatepongsa P., Deesukanan C. The structural equation modelling of factors affecting savings and investment behaviors of Generation Z in Thailand. International Journal of eBusiness and eGovernment Studies. 2022;14(1)43-70. DOI: 10.34109/ijebeg.202214103

18. Rantala J., Yllikäinen M., Turklin J., Holopainen T. Future investor habits. In: Advances in human factors, business management and leadership (AHFE 2021). Cham: Springer: 2021:19-24. (Lecture notes in networks and systems. Vol. 267). DOI: 10.1007/978-3-030-80876-1_4

19. Al-Sarraji J. S., Altameemi A. F., Al-Slehat Z. A.F., Aloshaibat S. D., Almanaseer S. R. Smartphone banking applications and digital financial inclusion barriers mitigation: The moderating role of behavioral intentions (the case of Iraq). Finance: Theory and Practice. 2024;28(5):223-238. DOI: 10.26794/2587-5671-2024-28-5223-238

20. Krylova LV., Lukashenko I. V. Cryptocurrencies vs central banks’ digital currencies: The role of financial literacy. Finance: Theory and Practice. 2022;26(5):220-232. DOI: 10.26794/2587-5671-2022-26-5-220-232

21. Harvey M. Impact of financial education mandates on younger consumers’ use of alternative financial services. The Journal of Consumer Affairs. 2019;53(3):731-769. DOI: 10.1111/joca.12242

22. Arrondel L., Debbich M., Savignac F. Stockholding in France: The role of financial literacy and information. Applied Economics Letters. 2015;22(16):1315-1319. DOI: 10.1080/13504851.2015.1026578

23. Yamori N., Ueyama H. Financial literacy and low stock market participation of Japanese households. Finance Research Letters. 2022;44:102074. DOI: 10.1016/j.frl.2021.102074

24. Lusardi A. Financial literacy and the need for financial education: Evidence and implications. Swiss Journal of Economics and Statistics. 2019;155(1):1. DOI: 10.1186/s41937-019-0027-5

25. Buchanan B. G., Wright D. The impact of machine learning on UK financial services. Oxford Review of Economic Policy. 2021;37(3):537-563. DOI: 10.1093/oxrep/grab016

26. Shanmuganathan M. Behavioural finance in an era of artificial intelligence: Longitudinal case study of roboadvisors in investment decisions. Journal of Behavioral and Experimental Finance. 2020;27:100297. DOI: 10.1016/j.jbef.2020.100297

27. Jung D., Glaser F., Köpplin W. Robo-advisory: Opportunities and risks for the future of financial advisory. In: Nissen V., ed. Advances in consulting research. Cham: Springer; 2019:405-427. (Contributions to management science). DOI: 10.1007/978-3-319-95999-3_20

28. Jung D., Dorner V., Weinhardt C., Pusmaz H. Designing a robo-advisor for risk-averse, low-budget consumers. Electronic Markets. 2018;28(3):367-380. DOI: 10.1007/s12525-017-0279-9

29. Day M.-Y., Cheng T.-K., Li J.-G. AI robo-advisor with Big Data analytics for financial services. In: IEEE/ACM Int. conf. on advances in social networks analysis and mining (ASONAM). (Barcelona, August 28–31, 2018). New York, NY: IEEE; 2018:1027-1031. DOI: 10.1109/ASONAM.2018.8508854

30. Bhatia A., Chandani A., Chhateja J. Robo advisory and its potential in addressing the behavioral biases of investors — a qualitative study in Indian context. Journal of Behavioral and Experimental Finance. 2020;25:100281. DOI: 10.1016/j.jbef.2020.100281

31. Canoz I. An exploration into the posture of robo-advisor globally. In: Musleh Al-Sartawi A. M., Razzaque A., Kamal M. M., eds. Artificial intelligence systems and the Internet of Things in the digital era (EAMMIS 2021). Cham: Springer; 2021:197-205. (Lecture notes in networks and systems. Vol. 239). DOI: 10.1007/978-3-03077246-8_20

32. Isaia E., Oggero N. The potential use of robo-advisors among the young generation: Evidence from Italy. Finance Research Letters. 2022;48:103046. DOI: 10.1016/j.frl.2022.103046

33. Elo S., Kyngäs H. The qualitative content analysis process. Journal of Advanced Nursing. 2008;62(1):107-115. DOI: 10.1111/j.1365-2648.2007.04569.x

34. Cavanagh S. Content analysis: Concepts, methods and applications. Nurse Researcher.1997;4(3):5-16. DOI: 10.7748/nr.4.3.5.s2.

35. Oehler A., Horn M., Wendt S. Investor characteristics and their impact on the decision to use a robo-advisor. Journal of Financial Services Research. 2022;62(1):91-125. DOI: 10.1007/s10693-021-00367-8

36. D’Hondt C., De Winne R., Ghysels E., Raymond S. Artificial intelligence alter egos: Who might benefit from robo-investing? Journal of Empirical Finance. 2020;59:278-299. DOI: 10.1016/j.jempfin.2020.10.002

37. Tan G. K. S. Robo-advisors and the financialization of lay investors. Geoforum. 2020;117:46-60. DOI: 10.1016/j.geoforum.2020.09.004

38. Filiz I., Judek J. R., Lorenz M., Spiwoks M. Algorithm aversion as an obstacle in the establishment of robo advisors. Journal of Risk and Financial Management. 2022;15(8):353. DOI: 10.3390/jrfm15080353

39. Dietvorst B. J., Simmons J. P., Massey C. Algorithm aversion: People erroneously avoid algorithms after seeing them err. Journal of Experimental Psychology: General. 2015;144(1):114-126. DOI: 10.1037/xge0000033

40. Tertilt M., Scholz P. To advise, or not to advise — how robo-advisors evaluate the risk preferences of private investors. The Journal of Wealth Management. 2018;21(2):70-84. DOI: 10.3905/jwm.2018.21.2.070