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Improving Wealth Management Strategies Through the Use of Reinforcement Learning Based Algorithms. A Study on the Romanian Stock Market

Open Access
|Sep 2021

References

  1. Brock, W., Lakonishok, J., & Lebaron, B. (1992). Simple technical trading rules and the stochastic properties of stock returns. The Journal of Finance, 47, 1731–1764. https://doi.org/10.2307/2328994
  2. Cajas D. (n.d.). Riskfolio library. Retrieved from https://github.com/dcajasn/Riskfolio-Lib
  3. Carr M. (2021). Turtle Trading: A Market Legend. Retrieved from https://www.investopedia.com/articles/trading/08/turtle-trading.asp
  4. Dempster, M. A. H., & Leemans, V. (2006). An automated FX trading system using adaptive reinforcement learning. Expert Systems with Applications, 30, 543–552. https://doi.org/10.1016/j.eswa.2005.10.012
  5. Dreman, D., & Berry, M. (1995). Overreaction, Underreaction, and the Low-P/E Effect. Financial Analysts Journal, 51(4), 21–30. https://doi.org/10.2469/faj.v51.n4.1917
  6. Eilers, D., Dunis, C. L., Mettenheim, H. J., & Breitner, M. H. (2014). Intelligent trading of seasonal effects: A decision support algorithm based on reinforcement learning. Decision Support Systems, 64, 100–108. https://doi.org/10.1016/j.dss.2014.04.011
  7. Fama, E. (1970). Efficient Capital Markets: A Review of Theory and Empirical Work. Journal of Finance, 25(2), 383–417. https://doi.org/10.2307/2325486
  8. Fleanță, S., & Anghel, L. C. (2018). The Romania’s Capital Market Chances of Becoming an Emerging Market. In C. Bratianu et al. (Eds.), Proceedings of Strategica. Challenging the Status Quo in Management and Economics (pp. 180-189), Tritonic.
  9. Jangmin, O., Lee, J., Lee, J. W., & Zhang, B. T. (2006). Adaptive stock trading with dynamic asset allocation using reinforcement learning, Information Sciences, 176(15), 2121-2147. https://doi.org/10.1016/j.ins.2005.10.009
  10. Kouwenberg, R. (2001). Scenario generation and stochastic programming models for asset liability management. European Journal of Operational Research, 134, 279–292. https://doi.org/10.1016/S0377-2217(00)00261-7
  11. Mansini, R., Ogryczak W., & Speranza, M. G. (2003). On lp solvable models for portfolio selection. Informatica, 14, 37–62. https://doi.org/10.15388/Informatica.2003.003
  12. Markowitz, H. M. (1952). Portfolio Selection. The Journal of Finance, 7(1), 77–91. https://doi.org/10.2307/2975974
  13. Mihalcea, A., & Anghel, L. (2018). Romanian Capital Market: On the Road toward an Emergent Market Status. In Proceedings of Strategica. Challenging the Status Quo in Management and Economics (pp. 168-179), Tritonic.
  14. Moody, J., & Saffell, M. (2001). Learning to trade via direct reinforcement. IEEE Transactions on Neural Networks 12(4), 875-89. https://doi.org/10.1109/72.935097
  15. Moody, J., Saffell, M., Liao, Y., & Wu, L. (1998). Reinforcement Learning for Trading Systems and Portfolios: Immediate vs Future Rewards. In A. P. N. Refenes, A. N. Burgess, & J. E. Moody (Eds.), Decision Technologies for Computational Finance. Advances in Computational Management Science (vol. 2), Springer. https://doi.org/10.1007/978-1-4615-5625-1_10
  16. Neuneier, R. (1995). Optimal Asset Allocation using Adaptive Dynamic Programming. NIPS. https://doi.org/10.5555/2998828.2998962
  17. Neuneier, R. (1997). Enhancing Q-Learning for Optimal Asset Allocation. NIPS. https://doi.org/10.5555/3008904.3009035
  18. Zhang, X., Hu, Y., Xie, K., Zhang, W., Su, L., & Liu, M. (2015). An evolutionary trend reversion model for stock trading rule discovery. Knowledge-Based Systems, 79, 27–35. https://doi.org/10.1016/j.knosys.2014.08.010
  19. Zolkepli H. (n.d), Stock Prediction Models. https://github.com/huseinzol05/Stock-Prediction-Models.
DOI: https://doi.org/10.2478/mdke-2021-0027 | Journal eISSN: 2392-8042 | Journal ISSN: 2286-2668
Language: English
Page range: 405 - 416
Submitted on: Jun 8, 2021
Accepted on: Aug 25, 2021
Published on: Sep 28, 2021
Published by: Scoala Nationala de Studii Politice si Administrative
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year

© 2021 Ștefan-Constantin Radu, Lucian Claudiu Anghel, Ioana Simona Ermiş, published by Scoala Nationala de Studii Politice si Administrative
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.