PREDICTING GOLD INVESTMENT BEHAVIOR THROUGH PSYCHOGRAPHIC VARIABLES
Abstract
In recent years, the average income of Indians has increased significantly. Although it is well established that rising income drives up gold demand, the relationship between gold purchase and income in India is more complex. Many factors influence the gold investment decision, and psychological variables are among them. The primary goal of this research paper was to determine impact of psychological variables on the intention to engage in gold investment. Financial knowledge, future time perspective, financial risk tolerances and goal clarity are the four psychological variables examined in this study. 325 retail investors were selected through judgmental sampling techniques. According to the findings, financial risk tolerance and goal clarity are statistically significant and have a significant impact on gold investment intention.
Keyword : Gold Investment, Financial knowledge, Future times perspective, Goal clarity, Risk tolerance
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References
• Agarwal, D., Barman, A., & Sarma, B. (2014). Communities behavior in gold investment: An exploration in Guwahati city. Pezzottaite Journals, 3(4), 1454–1458. • Atkinson, A., McKay, S., Kempson, E., & Collard, S. (2006). Levels of financial capability in the UK: Results of a baseline survey (FSA Consumer Research Report 47). Bristol: Financial Services Authority. • B. L. Jorgensen and J. Savla, Financial literacy of young adults – The importance of parental socialization, Family Relations, vol.59, no.4, pp.365-378, 2010. • Bavelas, J. B., & Lee, E. S. (1978). Effect of goal level on performance: A trade-off of quantity and quality. Canadian Journal of Psychology, 32, 219-40. • Bernheim, B. D., Skinner, J., & Weinberg, S. (1997). What accounts for the variation in retirement wealth among U.S. households? National Bureau of Economic Research Working Paper Series, Working Paper #6227. • Burtless, G. (1999). An economic view of retirement. In H. J. Aaron (Ed.), Behavioral dimensions of retirement (pp. 7– 42). Washington, D.C.: Brookings Institution Press • Clark-Murphy, M., & Soutar, G. N. (2004). What individual investors value: Some Australian evidence. Journal of Economic Psychology, 25(4), 539–555. • Durand, R. B., Newby, R., & Sanghani, J. (2008). An intimate portrait of the individual investor. The Journal of Behavioral Finance, 9(4), 193–208. • Glass, J. C., & Kilpatrick, B. B. (1998). Gender comparisons of baby boomers and financial preparation for retirement. Educational Gerontology, 24, 719-745. • Hershey, D. A., & Mowen, J .C. (2000). Psychological determinants of financial preparedness for retirement. The Gerontologist, 40, 687– 697 • Hershey, D. A., Henkens, K., & Van Dalen, H. P. (2010). Aging and financial planning for retirement: Interdisciplinary influences viewed through a cross-cultural lens. International Journal of Aging and Human Development, 70, 1-38. doi: 10.2190/AG.70. • Hilgert, M. A., Hogarth, J. M., & Beverly, S. G. (2003). Household financial management: The connection between knowledge and behavior (pp. 309–322). July: Federal Reserve Bulletin • Hundal, B. S., Grover, S., & Bhatia, J. K. (2013). Herd behaviour and gold investment: A perceptual study of retail investors. IOSR Journal of Business and Management, 15(4), 63–69 • Jacobs-Lawson, J. M., & Hershey, D. A. (2005). Influence of future time perspective, financial knowledge, and financial risk tolerance on retirement savings behaviors. Financial Services Review, 14, 331-344. • K. Gao, Y. Huo and Y. Liu, An investment decision-making research on cross-border e-commerce overseas warehouse based on real option, ICIC Express Letters, vol.11, no.5, pp.1005-1010, 2017. • Keller, C., & Siergist, M. (2006). Investing in stocks: The influence of financial risk attitude and values-related money and stock market attitudes. Journal of Economic Psychology, 27(2), 285–303. • Koposko, J. L., & Hershey, D. A. (2014). Parental and early influences on expectations of financial planning for retirement. Journal of Personal Finance, 13, 17-27. • Lee, J.M.; Lee, J.; Kim, K.T. Consumer Financial Well-Being: Knowledge Is Not Enough. J. Fam. Econ. Issues 2019, 41, 218–228. • Locke, E. A., Shaw, K. N., Saari, L. M., & Latham, G. P. (1981). Goal setting and task performance: 1969-1980. Psychological Bulletin, 90(1), 125-152. • Lusardi, A. (1999). Information, expectations, and savings for retirement. In H. J. Aaron (Ed.), Behavioral dimensions of retirement (pp. 81–123). Washington, D.C.: Brookings Institution Press. Mitchell, O. S., & • M.H. Bilgin et al. (eds.), Regional Studies on Economic Growth, Financial Economics and Management, Eurasian Studies in Business and Economics 7. • Neukam, K. A., & Hershey, D. A. (2003). Financial inhibition, financial activation, and saving for retirement. Financial Services Review, 12, 19-37. • Pati, A. P., & Shome, D. (2011). Do households still prefer bank deposits? An analysis of shift in savings and savings determinants. The IUP Journal of Bank Management, 10(1), 46–59. • Raut, R.K. Past behaviour, financial literacy and investment decision-making process of individual investors. Int. J. Emerg. Mark. 2020, 15, 1243–1263. • Stawski, R. S., Hershey, D. A., & Jacobs-Lawson, J. M. (2007). Goal clarity and financial planning activities as determinants of retirement savings contributions. International Journal of Aging and Human Development, 64, 13-32. • Terborg, J. R. (1976). The motivational components of goal setting. Journal of Applied Psychology, 61, 613-621. • Winnell, M. (1987). Personal goals: The key to self-direction in adulthood. In M. E. Ford & D.H. Ford (Eds.), Humans as self-constructing living systems: Putting the framework to work (pp. 261-278). Hillsdale, NJ: Erlbaum. • Wood, R., & Zaichkowsky, J. L. (2004). Attitudes and trading behavior of stock market investors: A segmentation approach. The Journal of Behavioral Finance, 5(3), 170–179. • Yang, M.; Mamun, A.A.; Mohiuddin, M.; Al-Shami, S.S.A.; Zainol, N.R. Predicting Stock Market Investment Intention and Behavior among Malaysian Working Adults Using Partial Least Squares Structural Equation Modeling. Mathematics 2021, 9, 873.