When Risk Tolerance Turns into Irrational Investment Choices: The Moderating Role of Trading Performance

Authors

  • Isfenti Sadalia Fakultas Vokasi, Universitas Sumatera Utara
  • Khaira Amalia Fachrudin Fakultas Ekonomi dan Bisnis, Universitas Sumatera Utara
  • Syahyunan Syahyunan Fakultas Ekonomi dan Bisnis, Universitas Sumatera Utara
  • Muslim Amin Azman Hashim International Business School, Universiti Teknologi Malaysia
  • Beby Kendida Hasibuan Fakultas Vokasi, Universitas Sumatera Utara
  • Wina Nurfitriani Fakultas Vokasi, Universitas Sumatera Utara
  • Nindy Erisma Fakultas Vokasi, Universitas Sumatera Utara

DOI:

https://doi.org/10.47747/fmiic.v1i3.3631

Abstract

Indonesia’s capital market has expanded at a remarkable pace. By July 2025, the number of registered individual investor accounts (SIDs) had reached 17,016,329 an 11.42% increase from the 14,871,639 SIDs recorded at the close of 2024 yet national financial literacy still stands at only 65.43%. That gap between market participation and genuine financial understanding leaves many investors exposed to irrational investment behavior, including overtrading, herding, and the disposition effect. This study investigates how risk tolerance shapes irrational investment decisions among individual investors in Sumatera Utara, and whether trading performance moderates that relationship. Using a cross-sectional survey design and PLS-SEM analysis on active SID holders in the province (population approximately 592,876 as of May 2024), we recruited respondents through purposive sampling and confirmed adequate discriminant validity through HTMT values below 0.90. The results show that risk tolerance exerts a positive and significant direct effect on irrational investment decisions (β = 0.369; t = 7.521; p < 0.001), while trading performance does not significantly moderate this relationship (β = 0.004; t = 0.118; p = 0.906). With an R² of 0.674, the model demonstrates substantial predictive power. These findings reinforce risk tolerance as the dominant direct antecedent of irrational investment behavior and suggest that trading performance may be more productively examined as a mediating variable in future work. Practical implications extend to OJK, the Indonesia Stock Exchange (IDX), securities firms, and digital investment platforms, all of which stand to benefit from stronger risk profiling, behavioral-bias-oriented financial literacy programs, and behavioral nudge features tailored to young retail investors.

References

Adiputra, I. G. (2021). The influence of overconfidence, representative bias, and risk tolerance in investment decision making: Evidence on stock investors in Indonesia. Journal of Hunan University Natural Sciences, 48(4), 195–205. https://jonuns.com/index.php/journal/article/view/562

Ahmad, M. (2024). The role of cognitive heuristics in investment decision making: An empirical study of individual investors. International Journal of Bank Marketing, 42(1), 1–26. https://doi.org/10.1108/IJBM-04-2023-0210

Aprilia, R., & Hartono, U. (2023). The role of risk tolerance in mediating the effect of overconfidence bias, representativeness bias and herding on investment decisions. International Journal of Economics, Finance and Management (IJEFM), 6(7), 3324–3335. https://doi.org/10.47191/ijefm/v6-i7-36

Baker, H. K., Kumar, S., Goyal, N., & Gaur, V. (2019). How financial literacy and demographic variables relate to behavioral biases. Managerial Finance, 45(1), 124–146. https://doi.org/10.1108/MF-01-2018-0003

Bank Indonesia. (2024). Survei konsumen Desember 2024: Indeks Keyakinan Konsumen. Jakarta: Bank Indonesia. https://www.bi.go.id

Barber, B. M., & Odean, T. (2000). Trading is hazardous to your wealth: The common stock investment performance of individual investors. The Journal of Finance, 55(2), 773–806. https://doi.org/10.1111/0022-1082.00226

Barber, B. M., & Odean, T. (2001). Boys will be boys: Gender, overconfidence, and common stock investment. The Quarterly Journal of Economics, 116(1), 261–292. https://doi.org/10.1162/003355301556400

Barber, B. M., Lee, Y. T., Liu, Y. J., & Odean, T. (2009). Just how much do individual investors lose by trading? The Review of Financial Studies, 22(2), 609–632. https://doi.org/10.1093/rfs/hhn046

Barberis, N., & Thaler, R. (2003). A survey of behavioral finance. In G. M. Constantinides, M. Harris, & R. M. Stulz (Eds.), Handbook of the economics of finance (Vol. 1, pp. 1053–1128). Elsevier. https://doi.org/10.1016/S1574-0102(03)01027-6

Bikhchandani, S., & Sharma, S. (2001). Herd behavior in financial markets. IMF Staff Papers, 47(3), 279–310. https://doi.org/10.2307/3867650

Bursa Efek Indonesia. (2025). Statistik pasar modal: Indeks Harga Saham Gabungan (IHSG) periode 2024–2025. Jakarta: BEI. https://www.idx.co.id

Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). Lawrence Erlbaum Associates.

Choi, J. J., Laibson, D., Madrian, B. C., & Metrick, A. (2009). Reinforcement learning and savings behavior. The Journal of Finance, 64(6), 2515–2534. https://doi.org/10.1111/j.1540-6261.2009.01509.x

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage.

Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/BF02310555

Dorn, D., & Sengmueller, P. (2009). Trading as entertainment? Management Science, 55(4), 591–603. https://doi.org/10.1287/mnsc.1080.0962

Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4. https://doi.org/10.11648/j.ajtas.20160501.11

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

Geisser, S. (1974). A predictive approach to the random effect model. Biometrika, 61(1), 101–107. https://doi.org/10.1093/biomet/61.1.101

Gervais, S., & Odean, T. (2001). Learning to be overconfident. The Review of Financial Studies, 14(1), 1–27. https://doi.org/10.1093/rfs/14.1.1

Grable, J. E. (2000). Financial risk tolerance and additional factors that affect risk taking in everyday money matters. Journal of Business and Psychology, 14(4), 625–630. https://doi.org/10.1023/A:1022994314982

Grable, J. E., & Lytton, R. H. (1999). Financial risk tolerance revisited: The development of a risk assessment instrument. Financial Services Review, 8(3), 163–181. https://doi.org/10.1016/S1057-0810(99)00041-4

Grinblatt, M., & Keloharju, M. (2009). Sensation seeking, overconfidence, and trading activity. The Journal of Finance, 64(2), 549–578. https://doi.org/10.1111/j.1540-6261.2009.01443.x

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). Sage.

Hallahan, T. A., Faff, R. W., & McKenzie, M. D. (2004). An empirical investigation of personal financial risk tolerance. Financial Services Review, 13(1), 57–78.

Hendarto, K., Anastasia, N., & Basana, S. R. (2021). The effect of financial literacy, financial risk tolerance, and financial socialization agents on stock investment decision in the millennial generation. Petra International Journal of Business Studies, 4(1), 11–22. https://doi.org/10.9744/ijbs.4.1.11-22

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8

Kaban, L. M. (2024). The risk perception as a mediator between herding and overconfidence bias on investment decisions. Mec-J (Management and Economics Journal), 8(2), 169–184. https://doi.org/10.18860/mec-j.v8i2.25462

Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291. https://doi.org/10.2307/1914185

Kock, N., & Hadaya, P. (2018). Minimum sample size estimation in PLS-SEM: The inverse square root and gamma-exponential methods. Information Systems Journal, 28(1), 227–261. https://doi.org/10.1111/isj.12131

Kustodian Sentral Efek Indonesia. (2024). Statistik pasar modal Indonesia 2024. Jakarta: KSEI. https://www.ksei.co.id

Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575. https://doi.org/10.1111/j.1744-6570.1975.tb01393.x

Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 22(140), 1–55.

Magdon-Ismail, M., & Atiya, A. F. (2004). Maximum drawdown. Risk Magazine, 17(10), 99–102.

Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7(1), 77–91. https://doi.org/10.2307/2975974

McKinsey & Company. (2025). Global wealth and asset management report 2025: Investor sentiment and behavior. McKinsey & Company. https://www.mckinsey.com

Meade, A. W., & Craig, S. B. (2012). Identifying careless responses in survey data. Psychological Methods, 17(3), 437–455. https://doi.org/10.1037/a0028085

Otoritas Jasa Keuangan. (2024). Survei Nasional Literasi dan Inklusi Keuangan (SNLIK) 2024. Jakarta: OJK. https://www.ojk.go.id

Otoritas Jasa Keuangan. (2025). Statistik pasar modal Indonesia: Single Investor Identification (SID) Juli 2025. Jakarta: OJK. https://www.ojk.go.id

OJK Sumut. (2024). Jumlah investor pasar modal Sumatera Utara per Mei 2024. Medan: Kantor OJK Provinsi Sumatera Utara. https://www.ojk.go.id

Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879

Pompian, M. M. (2012). Behavioral finance and investor types: Managing behavior to make better investment decisions. John Wiley & Sons.

Rahayu, A. D., Putra, A., Oktaverina, C., & Ningtyas, R. A. (2021). Herding behavior model in investment decision on emerging markets: Experimental in Indonesia. The Journal of Asian Finance, Economics and Business, 8(1), 53–59. https://doi.org/10.13106/jafeb.2021.vol8.no1.053

Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial least squares structural equation modeling. In C. Homburg, M. Klarmann, & A. Vomberg (Eds.), Handbook of market research (pp. 587–632). Springer. https://doi.org/10.1007/978-3-319-57413-4_15

Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill-building approach (7th ed.). John Wiley & Sons.

Seru, A., Shumway, T., & Stoffman, N. (2010). Learning by trading. The Review of Financial Studies, 23(2), 705–739. https://doi.org/10.1093/rfs/hhp060

Sharpe, W. F. (1966). Mutual fund performance. The Journal of Business, 39(1), 119–138. https://doi.org/10.1086/294846

Shefrin, H., & Statman, M. (1985). The disposition to sell winners too early and ride losers too long: Theory and evidence. The Journal of Finance, 40(3), 777–790. https://doi.org/10.1111/j.1540-6261.1985.tb05002.x

Statman, M. (2019). Behavioral finance: The second generation. CFA Institute Research Foundation.

Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society: Series B, 36(2), 111–147. https://doi.org/10.1111/j.2517-6161.1974.tb00994.x

Van Rooij, M., Lusardi, A., & Alessie, R. (2011). Financial literacy and stock market participation. Journal of Financial Economics, 101(2), 449–472. https://doi.org/10.1016/j.jfineco.2011.03.006

von Neumann, J., & Morgenstern, O. (1944). Theory of games and economic behavior. Princeton University Press.

Wibowo, M. A., Indrawati, N. K., & Aisjah, S. (2023). The impact of overconfidence and herding bias on stock investment decisions mediated by risk perception. International Journal of Business and Social Science Research (IJBSSR), 12(5), 174–184. https://doi.org/10.20525/ijrbs.v12i5.2663

World Economic Forum. (2024). The future of capital markets: Democratization of retail investing. Geneva: World Economic Forum. https://www.weforum.org

Yundari, A., & Artati, D. (2024). Representativeness, mental accounting, overconfidence and loss aversion on investment decision mediated by risk tolerance. Jurnal Ilmiah Manajemen Kesatuan, 12(4), 1–16. https://doi.org/10.37641/jimkes.v12i4

Yusbardini, Y., & Natsir, K. (2022). Investor bias behavior in investment decision making. Proceedings of the Tenth International Conference on Entrepreneurship and Business Management (ICEBM 2021), 215–220. Atlantis Press. https://doi.org/10.2991/aebmr.k.220501.033

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Published

2026-06-25