Kajian Penerapan Teori Permainan Pada Strategi Investasi Portofolio Dalam Kondisi KetidakPastian Pasar Finansial

Authors

  • Mellia Rahmi Universitas Putra Indonesia YPTK Padang

Keywords:

Game theory in investment, Portfolio optimization under market uncertainty, Financial decision-making strategy

Abstract

Penelitian ini bertujuan untuk menelaah penerapan teori permainan dalam strategi investasi portofolio di tengah ketidakpastian pasar keuangan. Melalui pendekatan Systematic Literature Review (SLR) yang berlandaskan kerangka PRISMA, kajian ini mengidentifikasi delapan artikel utama yang relevan dengan topik game theory in investment, portfolio optimization under market uncertainty, dan financial decision-making strategy. Hasil analisis menunjukkan bahwa teori permainan memberikan perspektif strategis dalam memahami interaksi antar pelaku pasar yang saling memengaruhi keputusan investasi. Model optimisasi dinamis dan robust optimization terbukti efektif dalam merancang portofolio yang adaptif terhadap perubahan risiko dan volatilitas pasar. Selain itu, penerapan prinsip kooperatif dalam teori permainan menghasilkan utilitas konsumsi yang lebih tinggi dibandingkan pendekatan non-kooperatif. Secara keseluruhan, kajian ini menegaskan bahwa integrasi teori permainan dengan strategi optimisasi portofolio mampu memperkuat pengambilan keputusan finansial yang lebih efisien dan berkelanjutan di bawah kondisi pasar yang tidak pasti.

References

Alkhudaydi, M. H. (2025). Investigating the dynamics and uncertainties in portfolio optimization using the Fourier-Millen transform. 1–34. https://doi.org/10.1371/journal.pone.0321204

Crisci, S., & Simone, V. De. (2025). Journal of Computational and Applied Mathematics Bilevel robust optimization approach for multi-period sparse portfolio selection. Journal of Computational and Applied Mathematics, 470, 116729. https://doi.org/10.1016/j.cam.2025.116729

Dedu, S. (2025a). A Scalarized Entropy-Based Model for Portfolio Optimization : Balancing Return , Risk and Diversification. 1–14.

Dedu, S. (2025b). Robust Portfolio Optimization in Crypto Markets Using Second-Order Tsallis Entropy and Liquidity-Aware Diversification. 1–18.

Dong, Y., Zhang, Y., Pan, J., & Chen, T. (2020). Evolutionary Game Model of Stock Price Synchronicity from Investor Behavior. 2020. https://doi.org/10.1155/2020/7957282

Essamuah, S., & Abubakar, A. (2025). Behaviourally adaptive optimization strategy for retirement wealth allocation under uncertainty. 29(July), 1–14.

Luxenberg, E., Schiele, P., & Boyd, S. (2024). Portfolio Optimization with Cumulative Prospect Theory Utility via Convex Optimization. Computational Economics, 0123456789. https://doi.org/10.1007/s10614-024-10556-x

Marino, M., & Martire, A. (2025). A dynamic game approach for optimal consumption ,. Annals of Operations Research, 346(2), 1377–1398. https://doi.org/10.1007/s10479-024-05847-3

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. Bmj, 372. https://doi.org/10.1136/bmj.n71

Pamuˇ, D. (2025). Decision-Analytics-Based Stock Selection : A Fuzzy Aczel – Alsina. https://doi.org/10.1007/s40815-025-02034-9

Tools, F., Chapter, A., Goals, T., Management, F., Managers, T. F., Management, F., Liquidity, M., Profit, S., Value, I. S., Value, T., Determinants, T., Concepts, O., Inflows, C., Goals, M. V., List, S. R., Analysis, T., Elements, T., Ratios, C., Turnover, T. A., … Vary, C. (n.d.). Sales ?

Wu, Z., Yang, L., & Simone, V. De. (2025). Behavioral portfolio optimization via cumulative prospect theory with a symmetric alternating direction method of multipliers.

Downloads

Published

22-01-2026