Main Article Content
Abstract
Purpose – This study examines the effects of institutional trust, price spread, and religiosity on gold investment decisions among Muslim investors and investigates the mediating role of risk perception in explaining these relationships.
Methodology – A quantitative, cross-sectional research design was employed using survey data collected from 314 Muslim investors in Lombok, Indonesia. Respondents were selected through purposive sampling, and the proposed research model was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4.
Findings – The results reveal that institutional trust, price spread, and risk perception have significant positive effects on gold investment decisions, with risk perception emerging as the strongest predictor of investment behavior. Institutional trust, price spread, and religiosity also significantly influence investors’ risk perceptions. Furthermore, risk perception significantly mediates the relationships between institutional trust, price spread, religiosity, and gold investment decisions, indicating that institutional, market-related, and religious factors primarily affect investment behavior through investors’ subjective evaluation of uncertainty.
Implications – The findings suggest that Islamic financial institutions and gold investment providers should strengthen institutional credibility, improve pricing transparency, and reinforce Sharia-compliant practices to reduce perceived investment risk and encourage greater participation in gold investment among Muslim investors.
Originality – This study extends the behavioral finance literature by integrating institutional, market-related, psychological, and religious factors into a single framework. Unlike previous studies that have examined these determinants separately or primarily in conventional financial settings, this research demonstrates that risk perception serves as the key psychological mechanism linking these factors to gold investment decisions among Muslim investors in an emerging Islamic financial market.
Keywords
Article Details
Copyright (c) 2026 Fachrozi Fachrozi, Slamet Slamet, Indah Yuliana

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References
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- Sitkin, S. B., & Pablo, A. L. (1992). Reconceptualizing the determinants of risk behavior. Academy of Management Review, 17(1), 9–38. https://doi.org/10.5465/amr.1992.4279564
- Slovic, P. (2000). The perception of risk. Earthscan Publications.
- Stoll, H. R. (1989). Inferring the components of the bid-ask spread: Theory and empirical tests. The Journal of Finance, 44(1), 115–134. https://doi.org/10.1111/j.1540-6261.1989.tb02407.x
- Sujit, K. S., Ameyaw, B., & Ramasamy, K. (2025). Gold investment decisions: A behavioral finance perspective. Journal of Behavioral and Experimental Finance, 39, 100818. https://doi.org/10.1016/j.jbef.2025.100818
- Usman, B., Hasnam, M. G., Nurazi, R., & Aujirapongpan, S. (2024). Exploring investor attention in Shariah markets, macroeconomic influences, and corporate performance: Insights from Indonesia. Social Sciences and Humanities Open, 10, 101015. https://doi.org/10.1016/j.ssaho.2024.101015
- Wangzhou, K., Khan, M., Hussain, S., Ishfaq, M., & Farooqi, R. (2021). Effect of regret aversion and information cascade on investment decisions in the real estate sector: The mediating role of risk perception and the moderating effect of financial literacy. Frontiers in Psychology, 12, 736753. https://doi.org/10.3389/fpsyg.2021.736753
- Zhang, M., Nazir, M., Farooqi, R., & Ishfaq, M. (2022). Moderating role of information asymmetry between cognitive biases and investment decisions: A mediating effect of risk perception. Frontiers in Psychology, 13, 828956. https://doi.org/10.3389/fpsyg.2022.828956
References
Abideen, Z. U. I. U., Ahmed, Z., Qiu, H., & Zhao, Y. (2023). Do behavioral biases affect investors' investment decision making? Evidence from the Pakistani equity market. Risks, 11(6), 109. https://doi.org/10.3390/risks11060109
Ahmed, Z., Rasool, S., Saleem, Q., Khan, M. A., & Kanwal, S. (2022). Mediating role of risk perception between behavioral biases and investor's investment decisions. SAGE Open, 12(2). https://doi.org/10.1177/21582440221097394
Alimukhamedov, K. (2024). Gold investing handbook for asset managers. The World Bank.
Almansour, B., Almansour, A., Elkrghli, S., & Shojaei, S. A. (2024). The investment puzzle: Unveiling behavioral finance, risk perception, and financial literacy. ECONOMICS, 13, 131–151. https://doi.org/10.2478/eoik-2025-0003
Amaroh, S., Prasetyoningrum, A. K., & Husain, H. (2024). Women and investment decision in Sharia instruments: Moderating effect of financial spirituality orientation. Jurnal Ilmiah Peuradeun, 12(2), 877–898. https://doi.org/10.26811/peuradeun.v12i2.1332
Amihud, Y., & Mendelson, H. (1986). Asset pricing and the bid-ask spread. Journal of Financial Economics, 17(2), 223–249. https://doi.org/10.1016/0304-405X(86)90065-6
Apanovych, Y., Líšková-Dvořáková, Z., Burghauserová, M., & Kovač, V. (2023). Insights into gold investing: Exploring investor behavior. Acta Montanistica Slovaca, 28(4), 807–818. https://doi.org/10.46544/AMS.v28i4.02
Azmat, S., Kabir Hassan, M., Ali, H., & Sohel Azad, A. S. M. (2021). Religiosity, neglected risk and asset returns: Theory and evidence from Islamic finance industry. Journal of International Financial Markets, Institutions and Money, 74, 101294. https://doi.org/10.1016/j.intfin.2021.101294
Bhutto, S. A., Nazeer, N., Saad, M., & Talreja, K. (2025). Herding behavior, disposition effect, and investment decisions: A multi-mediation analysis of risk perception and dividend policy. Acta Psychologica, 255, 104964. https://doi.org/10.1016/j.actpsy.2025.104964
Bouzekouk, S., & Mansor, F. (2025). The influence of religiosity on Muslim women's selection of fund providers in Malaysia. Journal of Risk and Financial Management, 18(3), 123. https://doi.org/10.3390/jrfm18030123
Che Hassan, N., Abdul-Rahman, A., Mohd Amin, S. I., & Ab Hamid, S. N. (2023). Investment intention and decision making: A systematic literature review and future research agenda. Sustainability, 15(5), 3949. https://doi.org/10.3390/su15053949
Cui, M., Wong, W.-K., Wisetsri, W., Mabrouk, F., Muda, I., Li, Z., & Hassan, M. (2023). Do oil, gold and metallic price volatilities prove gold as a safe haven during Covid-19 pandemic? Novel evidence from Covid-19 data. Resources Policy, 80, 103133. https://doi.org/10.1016/j.resourpol.2022.103133
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382–388. https://doi.org/10.2307/3150980
Grym, J., Aspara, J., & Liljander, V. (2024). Studies on moral judgment and cognition involving cryptocurrencies and tax evasion. Imagination, Cognition and Personality, 44(1), 66–85. https://doi.org/10.1177/02762366241268122
Hair Jr., J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook. Springer Nature.
Handoyo, S. (2024). Purchasing in the digital age: A meta-analytical perspective on trust, risk, security, and e-WOM in e-commerce. Heliyon, 10(8), e29714. https://doi.org/10.1016/j.heliyon.2024.e29714
Hazirah, N., Kassim, S., Hadiyan, N., & Azman, N. (2025). Consumers' behavioural intention to adopt Shari'ah-compliant digital gold platform in Malaysia: Extension of UTAUT model. Journal of Islamic Monetary Economics and Finance, 11(1), 35–62. https://doi.org/10.21098/jimf.v11i1.2035
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
Jain, J., Walia, N., Singla, H., Singh, S., Sood, K., & Grima, S. (2023). Heuristic biases as mental shortcuts to investment decision-making: A mediation analysis of risk perception. Risks, 11(4), 72. https://doi.org/10.3390/risks11040072
JinMei, D., Choong, Y. V., Aravindan, K. L., Muthaiyah, S., & Yee, P. S. (2025). Shaping the investment decision of young investors in China: Behavioural factors and effect of trust. Journal of Posthumanism, 5(6), 3988–4010. https://doi.org/10.63332/joph.v5i6.2570
Juisin, H. A., Amir, M., Mohd, S., Amin, H., & Shaikh, I. M. (2023). Determinants of Shari'ah gold investment behaviour: The case of Malaysia. Journal of Islamic Marketing. Advance online publication. https://doi.org/10.1108/JIMA-11-2021-0360
Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–292. 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
Kumar, J., Rani, M., Rani, G., & Rani, V. (2024). All are interesting to invest, I fear of missing out (FOMO): A comparative study among self-employed and salaried investors. Journal of Financial Regulation and Compliance, 32(5), 646–664. https://doi.org/10.1108/JFRC-01-2024-0010
Li, Y., & Umair, M. (2023). The protective nature of gold during times of oil price volatility: An analysis of the C-19 pandemic. The Extractive Industries and Society, 15, 101284. https://doi.org/10.1016/j.exis.2023.101284
Li, Z., Wu, Q., Hong, P., & Tian, R. (2023). Effects of investment experience on the stock investment task: The mediating role of risk perception. Behavioral Sciences, 13(2), 115. https://doi.org/10.3390/bs13020115
Lozano, L. M., García-Cueto, E., & Muñiz, J. (2008). Effect of the number of response categories on the reliability and validity of rating scales. Methodology, 4(2), 73–79. https://doi.org/10.1027/1614-2241.4.2.73
Luthfi, A. A., Rahayu, S., & Hati, H. (2025). Determinants of Sharia digital gold investment intention among Jabodetabek Muslim youth. Asian Journal of Islamic Management (AJIM), 7(1), 41–57.
Mayer, R. C., Davis, J. H., & Schoorman, D. F. (1995). An integrative model of organizational trust. Academy of Management Review, 20(3), 709–734. https://doi.org/10.5465/amr.1995.9508080335
McKnight, D. H., Choudhury, V., & Kacmar, C. J. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research, 13(3), 334–359. https://doi.org/10.1287/ISRE.13.3.334.81
Nguyen, X. H., Bui, D. A., Le, N. A., & Nguyen, Q. T. (2025). The role of fear of missing out (FOMO), loss aversion, and herd behavior in gold investment decisions: A study in the Vietnamese market. International Journal of Financial Studies, 13(3), 175. https://doi.org/10.3390/ijfs13030175
O'Hara, M. (1995). Market microstructure theory. Blackwell Publishers.
Otoritas Jasa Keuangan. (2024). Survei Nasional Literasi dan Inklusi Keuangan (SNLIK) 2024: Hasil indeks literasi dan inklusi keuangan Provinsi Nusa Tenggara Barat. Otoritas Jasa Keuangan Republik Indonesia. https://www.ojk.go.id
Patrisia, D., Engriani, Y., & Abror, A. (2023). Religiosity, trust, and loyalty in Islamic finance: Evidence from Indonesia. Journal of Islamic Marketing, 14(2), 229–247. https://doi.org/10.1108/JIMA-05-2021-0150
Putri, N. R., & Yuliati, E. (2021). The effect of perceived risk on customer's behavioral intention of digital gold platform: The moderating role of trust. Proceedings of the 4th International Conference on Economics, Business and Economic Education Science (ICE-BEES 2021). https://doi.org/10.4108/eai.27-7-2021.2316918
Rahardja, U., Chen, S.-C., Lin, Y.-C., Tsai, T., Aini, Q., Khan, A., Oganda, F. P., Dewi, E. R., Cho, Y.-C., & Hsu, C.-H. (2023). Evaluating the mediating mechanism of perceived trust and risk toward cryptocurrency: An empirical research. SAGE Open, 13. https://doi.org/10.1177/21582440231217854
Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill-building approach (7th ed.). John Wiley & Sons Ltd.
Shefrin, H. (2002). Beyond greed and fear: Understanding behavioral finance and the psychology of investing. Oxford University Press.
Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J.-H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322–2347. https://doi.org/10.1108/EJM-02-2019-0189
Sitkin, S. B., & Pablo, A. L. (1992). Reconceptualizing the determinants of risk behavior. Academy of Management Review, 17(1), 9–38. https://doi.org/10.5465/amr.1992.4279564
Slovic, P. (2000). The perception of risk. Earthscan Publications.
Stoll, H. R. (1989). Inferring the components of the bid-ask spread: Theory and empirical tests. The Journal of Finance, 44(1), 115–134. https://doi.org/10.1111/j.1540-6261.1989.tb02407.x
Sujit, K. S., Ameyaw, B., & Ramasamy, K. (2025). Gold investment decisions: A behavioral finance perspective. Journal of Behavioral and Experimental Finance, 39, 100818. https://doi.org/10.1016/j.jbef.2025.100818
Usman, B., Hasnam, M. G., Nurazi, R., & Aujirapongpan, S. (2024). Exploring investor attention in Shariah markets, macroeconomic influences, and corporate performance: Insights from Indonesia. Social Sciences and Humanities Open, 10, 101015. https://doi.org/10.1016/j.ssaho.2024.101015
Wangzhou, K., Khan, M., Hussain, S., Ishfaq, M., & Farooqi, R. (2021). Effect of regret aversion and information cascade on investment decisions in the real estate sector: The mediating role of risk perception and the moderating effect of financial literacy. Frontiers in Psychology, 12, 736753. https://doi.org/10.3389/fpsyg.2021.736753
Zhang, M., Nazir, M., Farooqi, R., & Ishfaq, M. (2022). Moderating role of information asymmetry between cognitive biases and investment decisions: A mediating effect of risk perception. Frontiers in Psychology, 13, 828956. https://doi.org/10.3389/fpsyg.2022.828956