An Empirical Study on the Impact of Gen Z Investors' Financial Literacy to Invest in the Indian Stock Market
DOI:
https://doi.org/10.17010/ijf/2022/v16i10/172387Keywords:
Financial literacy
, subjective norms, social factors, perceived behavioral control, attitude toward investmentJEL Classification Codes
, D10, D19, G53, E20, E22Paper Submission Date
, May 15, 2021, Paper sent back for Revision, June 22, 2022, Paper Acceptance Date, July 10, Paper Published Online, October 15, 2022Abstract
Purpose : The aim behind conducting this research was to identify the influence of financial literacy (FL) on the stock market investment decisions of individuals belonging to Gen Z in India. Attitude toward investment (AT) and perceived behavioral control (PBC) were considered as the mediating factors related to the same, while social factors (SF) and subjective norms (SN) were considered as independent factors.Design/Methodology/Approach : A Google form was used to collect primary data; 401 valid responses were considered for the present research work. G* Power 3.1.9.2 software was applied to determine the sample size. The research applied a non-probability convenient sampling technique for collecting the data through a questionnaire. Initially, convenience sampling was used, followed by snowball sampling. The questionnaire was distributed to our friends and acquaintances in five Indian states (Madhya Pradesh, Chhattisgarh, West Bengal, Gujarat, and Maharashtra). Then, friends and acquaintances were asked to circulate the same survey to their friends and acquaintances in their respective cities, and so on. This research used confirmatory composite analysis to observe linear compound interrelationships. The SmartPLS software was utilized in order to conduct an analysis of partial least square structural equation modeling.
Findings : Financial literacy had the highest positive effect on investment intention (β = 0.435). AT and PBC, which are the mediating variables, had a total positive effect of (β = 0.403) and (β = 0.275) on investment intention, respectively. FL had a total positive effect of (β = 0.358) and (β = 0.614) on AT and PBC, respectively. SF had a total positive effect of (β = 0.118) on AT, and SN had a total positive effect of (β = 0.219) on investment intention.
Originality Value : The current study will undoubtedly aid in the development of an understanding of the most critical aspects impacting the stock market investing intentions of Gen Z.
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References
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Prentice-Hall.
Akhtar, F., & Das, N. (2019). Predictors of investment intention in Indian stock markets: Extending the theory of planned behaviour. International Journal of Bank Marketing, 37(1), 97-119. https://doi.org/10.1108/IJBM-08-2017-0167
Albaity, M., & Rahman, M. (2019). The intention to use Islamic banking: An exploratory study to measure Islamic financial literacy. International Journal of Emerging Markets, 14(5), 988-1012. https://doi.org/10.1108/IJOEM-05-2018-0218
Ashraf, S., & Baig, M. A. (2019). Is the Indian stock market efficiently inefficient? An empirical investigation. Indian Journal of Finance, 13(7), 7-28. https://doi.org/10.17010/IJF/2019/V13I7/145532
Buttle, F. A. (1998). Word of mouth: Understanding and managing referral marketing. Journal of Strategic Marketing, 6(3), 241-254. https://doi.org/10.1080/096525498346658
CEIC. (2020). India gross savings rate. https://www.ceicdata.com/en/indicator/india/gross-savings-rate
Chen, K.-J., & Liu, C.-M. (2004). Positive brand extension trial and choice of parent brand. Journal of Product & Brand Management, 13(1), 25-36. https://doi.org/10.1108/10610420410523821
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312
George, S., & Srinivasa Suresh, P. (2018). Long memory in Indian equity market : De-trended fluctuation analysis. Indian Journal of Research in Capital Markets, 5(3), 7-18. https://doi.org/10.17010/IJRCM/2018/V5/I3/138173
Gold, A. H., Malhotra, A., & Segars, A. H. (2001). Knowledge management: An organizational capabilities perspective. Journal of Management Information Systems, 18(1), 185-214. https://doi.org/10.1080/07421222.2001.11045669
Han, J.-J., & Jang, W. (2013). Information asymmetry and the financial consumer protection policy. Asian Journal of Political Science, 21(3), 213-223. https://doi.org/10.1080/02185377.2013.864511
Henseler, J., Ringle, C. H., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115-135. https://doi.org/10.1007/s11747-014-0403-8
Hogarth, J. M., & Hilgert, M. A. (2002). Financial literacy and family and consumer sciences. Journal of Family and Consumer Sciences, 94(1), 14-28.
Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). Guilford Press.
Kumar, P., & Kumar, S. (2020). Factors restricting investment decision of women investors in the Indian stock market : An empirical investigation. Indian Journal of Research in Capital Markets, 7(2-3), 53-65. https://doi.org/10.17010/IJRCM/2020/V7I2-3/154513
Matters, C. R. (2008). Countries and culture in behavioral finance. In, CFA Institute Conference Proceedings Quarterly, 25(3), 38-44.
Morgan, G. A., Leech, N. L., Gloeckner, G. W., & Barrett, K. C. (2004). IBM SPSS for introductory statistics: Use and interpretation. Routledge.
Mouna, A., & Anis, J. (2017). Financial literacy in Tunisia: Its determinants and its implications on investment behavior. Research in International Business and Finance, 39(A), 568-577. https://doi.org/10.1016/j.ribaf.2016.09.018
Nayyar, D. (2015, April 09). India's missing investors. Bloomberg. https://www.bloomberg.com/opinion/articles/2015-04-09/india-stock-rally-needs-more-domestic-retail-investors
Nofsinger, J. R. (2005). Social mood and financial economics. Journal of Behavioral Finance, 6(3), 144-160. https://doi.org/10.1207/s15427579jpfm0603_4
Norman, P., Webb, T. L., & Millings, A. (2019). Using the theory of planned behaviour and implementation intentions to reduce binge drinking in new university students. Psychology & Health, 34(4), 478-496. https://doi.org/10.1080/08870446.2018.1544369
O'Connor, E. L., & White, K. M. (2010). Willingness to trial functional foods and vitamin supplements: The role of attitudes, subjective norms, and dread of risks. Food Quality and Preference, 21(1), 75-81. https://doi.org/10.1016/j.foodqual.2009.08.004
Raut, R. K. (2020). Past behaviour, financial literacy and investment decision-making process of individual investors. International Journal of Emerging Markets, 15(6), 1243-1263. https://doi.org/10.1108/IJOEM-07-2018-0379
Raut, R. K., Kumar, R., & Das, N. (2021). Individual investors' intention towards SRI in India: An implementation of the theory of reasoned action. Social Responsibility Journal, 17(7), 877-896. https://doi.org/10.1108/SRJ-02-2018-0052
Schmidt, N. (2010). What drives investments into mutual funds? Applying the theory of planned behaviour to individuals' willingness and intention to purchase mutual funds. https://citeseerx.ist.psu.edu/viewdoc
/download?doi=10.1.1.472.2836&rep=rep1&type=pdf
Shanmugham, R., & Ramya, K. (2012). Impact of social factors on individual investors' trading behaviour. Procedia Economics and Finance, 2, 237-246. https://doi.org/10.1016/S2212-5671(12)00084-6
Shobha, T. S., & Chakraborty, S. (2017). Psychological factors contributing to the financial well-being of an individual: A review of empirical literature. Indian Journal of Finance, 11(10), 51-66. https://doi.org/10.17010/ijf/2017/v11i10/118775
Sivaramakrishnan, S., Srivastava, M., & Rastogi, A. (2017). Attitudinal factors, financial literacy, and stock market participation. International Journal of Bank Marketing, 35(5), 818-841. https://doi.org/10.1108/IJBM-01-2016-0012
Teo, T., Lee, C. B., & Chai, C. S. (2008). Understanding pre-service teachers' computer attitudes: Applying and extending the technology acceptance model. Journal of Computer Assisted Learning, 24(2), 128-143. https://doi.org/10.1111/j.1365-2729.2007.00247.x
Thomas, A., & Spataro, L. (2018). Financial literacy, human capital and stock market participation in Europe. Journal of Family and Economic Issues, 39, 532-550. https://doi.org/10.1007/s10834-018-9576-5
Tulsian, R. P., & Shrivastav, R. K. (2020). Trend analysis of the Indian capital market. Indian Journal of Research in Capital Markets, 7(2-3), 23-38. https://doi.org/10.17010/IJRCM/2020/V7I2-3/154511
