A new two-phase approach to the portfolio optimization problem based on the prediction of stock price trends
Subject Areas : Economic and Financial Time SeriesHamid Reza Yousefzade 1 , Amin Karrabi 2 , Aghileh Heydari 3
1 - Department of Mathematics, Payame Noor University (PNU), Tehran, Iran
2 - Department of Mathematics, Payam noor University, Mashhad, Iran
3 - Department of Mathematics, Payame Noor University (PNU), P.O. BOX 19395-4697, Tehran, Iran.
Keywords:
Abstract :
[1] Alahmari, S., Predicting the Price of Cryptocurrency using Support Vector Regression Methods, Journal of Mechanics of Continua and Mathematical Sciences, 2020, 15(4), P. 313-322.
[2] Asgharpur, H., Rezazadeh, A., Determining the Stock Optimal Portfolio using Value at Risk, Journal of Applied Theories of Economics, 2016, 2(4), P.93-118, (in Persian).
[3] Ballestero, E., Mean-Semi-Variance Efficient Frontier: A Downside Risk Model for Portfolio Selection, Applied Mathematical Finance, 2005, 12(1), P. 1-15.
[4] Bernardo, J. A., Rui Ferreira, N., Nuno, H., Combining Support Vector Machine with Genetic Algorithms to optimize investments in Forex markets with high leverage, Applied Soft Computing, 2018, 64(2), P. 596–613.
[5] Coello, A. C., Pulido, G. T., Lechuga, M. S., Handling multiple objectives with particle swarm optimization, In IEEE transactions on evolutionary computation, 2004, 8(3), P. 256-279.
[6] Das, S., Arman, M. S., Hossain, S.S., Islam, S., Bangladeshi Stock Price Prediction and Analysis with Potent Machine Learning Approaches, Cyber Security and Computer Science, 2020, 325(3), P. 230-240.
[7] Fernandez, A., Gomez, S., Portfolio selection using neural networks, Computers operation Research, 2007, 34(4), P. 1177-1191.
[8] Ghasemi, H. R., Najafi, A. A., Portfolio Optimization in terms of Justifiability Short Selling and Some Market Practical Constraints, Financial Research Journal, 2014, 14(2), P. 117-132, (in Persian).
[9] Gilli, M., Kellezi, E., The Threshold Accepting Heuristic for Index Tracking, Financial Engineering, E-commerce and Supply Chain, 2001, 70(2), P. 1-18.
[10] Guang-Feng, D., Woo-Tsong, L., Ant Colony Optimization for Markowitz Mean-Variance Portfolio Mode, Swarm, Evolutionary and Memetic Computing Lecture Notes in Computer Science, 2010, 6466(2), P. 238-245.
[11] Kara, Y., Boyacioglu, M. A., Baykan, O. K., Predicting direction of stock price index movement using artificial neural networks and support vector machines: the sample of the Istanbul Stock Exchange, Expert Systems with Applications, 2011, 38(5), P. 5311-5319.
[12] Kennedy, J., Eberhart, R., A New Optimizer Using Particle Swarm Theory, In Sixth international symposium on micro machine and human scienc, 1995, P. 39-43.
[13] Kim, K., Financial time series forecasting using support vector machines, Neuro-computing, 2003, 55(1), P. 307-319.
[14] Li G.Z., Huang J.B. & Huang H.Y. Calculating method of contraction operators in fractal interpolation based on the B-spline, Journal of Ordnance Engineering College, 2006, 18(2), P.76-78.
[15] Mansini, R., Speranza, M. G., Heuristic Algorithms for the Portfolio Selection Problem with Minimum Transaction Lots, European Journal of Operational Research, 1999, 114(2), P. 219–233.
[16] Maringer, D., Portfolio Management with Heuristic Optimization, Advances in Computational Management Science, Published by Springer-Verlag, Berlin, Heidelberg, 2006, P. 1–237.
[17] Markowitz, H. M., Portfolio Selection, The Journal of Finance, 1952, 7(1), P. 77-91.
[18] Reyes Sierra M., Coello, C., Multi Objective Particle Swarm Optimizers: A Survey of the State of the Art, International Journal of Computational Intelligence Research, 2006, 2(3), P.287-308.
[19] Sahala, A. P., Hertono, G. F., Handari, B. D., Implementation of improved quick artificial Bee Colony Algorithm on portfolio optimization problems with constraints, Proceedings of the 5th International Symposium on Current Progress in Mathematics and Sciences, 2020, 2242(1), P.1–8.
[20] Ünal, A., Kayakutlu, G., Multi-objective particle swarm optimization with random immigrants, Complex & Intelligent Systems, 2020, 6(2), P. 635–650.
[21] Vasiani, V., Handari, B.D., Hertono, G.F., Stock portfolio optimization using priority index and genetic algorithm, Journal of Physics: Conference Series, 2020, 1442, P. 1-5.
[22] Xu Jun., Effectiveness of the Securities Market Analysis Efficient Market Hypothesis Testing of Shanghai Stock Exchange by the Method of Rescale Range. Wuhan University, 2004.
[23] Yoosefzade, H.R., Karrabi, A., Heydari, A., Fracsion: New Hybrid Algorithm Predicting the Trend of Tehran Stock Exchange Industries Index, Journal of Mathematical Researches, 2021, Accepted paper (in Persian).