Reference: | [1] Adebiyi, A. A., Adewumi, A. O., & Ayo, C. K. (2014). Comparison of ARIMA and artificial neural networks models for stock price prediction. Journal of Applied Mathematics, 2014, 1-7. [2] Asness, C. S., Ilmanen, A., Israel, R., & Moskowitz, T. J. (1998). Investing with style. Journal of Investment Management, 13(11), 27-63. [3] Byrnes, T., & Barnett, T. (2018). Generalized framework for applying the Kelly criterion to stock markets. International Journal of Theoretical and Applied Finance, 21(5), 1-13. [4] Bai, S., Kolter, J. Z., & Koltun, V. (2018). An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. Retrieved April 11, 2020, from https://arxiv.org/abs/1803.01271. [5] Black, F., & Litterman, R. (1991). Asset allocation: combining investor views with market equilibrium. The Journal of Fixed Income, 1(2), 7-18. [6] Black, F., & Litterman, R. (1992). Global portfolio optimization. Financial Analysts Journal, 48(5), 28-43. [7] Elman, J. L. (1990). Finding structure in time. Cognitive Science, 14, 179-211. [8] Hoseinzade, E., & Haratizadeh, S. (2018). CNNpred: CNN-based stock market prediction using a diverse set of variables. Expert Systems with Applications, 129, 273-285. [9] He, G., & Litterman, R. (1999). The intuition behind Black-Litterman model portfolios. New York, NY: Goldman Sachs. [10] Hochreiter, S., & Schmidhuber, J. (1997). Long short-term memory. Neural computation, 9(8), 1735-1780. [11] Kelly, J. L. (1956) A new interpretation of information rate. Bell System Technical Journal, 35(4), 917-926. [12] Kwon, Y. K., & Moon, B. R. (2007). A hybrid neurogenetic approach for stock forecasting. IEEE Transactions on Neural Networks, 18(3), 851-864. [13] LeCun, Y., Boser, B., Denker, J. S., Henderson, D., Howard, R. E., Hubbard, W., & Jackel, L. D. (1989). Backpropagation applied to handwritten zip code recognition. Neural Computation, 1, 541-551. [14] Markowitz, H. (1952). Portfolio selection. The journal of finance, 7(1), 77-91. [15] Nelson, D. M. Q., Pereira, A. C. M., & De Oliveira, R. A. (2017). Stock market`s price movement prediction with LSTM neural networks. Proceedings of 2017 International Joint Conference on Neural Networks, 1419-1426. doi: 10.1109/IJCNN.2017.7966019 [16] Ohlsson, E., & Markusson, O. (2017). Application of the Kelly criterion on a self-financing trading portfolio - An empirical study on the Swedish stock market from 2005-2015. Retrieved April 11, 2020, from https://reurl.cc/oLb6Xg. [17] Ross, S. (1976). The arbitrage theory and capital asset pricing. Journal of Economic Theory, 13, 341-360. [18] Rounaghi, M. M., & Zadeh, F. M. (2016). Investigation of market efficiency and financial stability between S&P 500 and London stock exchange: Monthly and yearly forecasting of time series stock returns using ARMA model. Physica A: Statistical Mechanics and its Applications, 456, 10-21. [19] Sharpe, W. F. (1964). Capital asset prices: a theory of market equilibrium under conditions of risk. Journal of Finance, 19(3), 425-442. [20] Sharpe, W. F. (1992). Asset allocation: management style and performance management. Journal of Investment Management, 18(2), 7-19. [21] Wu, M. E., & Chung, W. H. (2018). A novel approach of option portfolio construction using the Kelly criterion. IEEE Access, 6(1), 53044-53052. [22] Zhai, Y., Hsu, A., & Halgamuge, S. K. (2007). Combining news and technical indicators in daily stock price trends prediction. In D. Liu, S. Fei, Z. Hou, H. Zhang & C. Sun (Eds.), Advances in Neural Networks – ISNN 2007 (pp. 1087-1096). Berlin, Germany: Springer. |