scholarly journals Multi-period Portfolio Optimization using Model Predictive Control with Mean-Variance and Risk Parity Frameworks

2021 ◽  
Author(s):  
Ayse Sinem Uysal ◽  
Xiaoyue Li ◽  
John M. Mulvey
Keyword(s):  
Model Predictive Control ◽  
Portfolio Optimization ◽  
Predictive Control ◽  
Risk Parity ◽  
Mean Variance

scholarly journals The application of model predictive control on stock portfolio optimization with prediction based on Geometric Brownian Motion-Kalman Filter

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Wawan Hafid Syaifudin ◽  
Endah R. M. Putri
Keyword(s):  
Brownian Motion ◽  
Kalman Filter ◽  
Model Predictive Control ◽  
Portfolio Optimization ◽  
Stock Returns ◽  
Predictive Control ◽  
Stock Prices ◽  
Geometric Brownian Motion ◽  
The Future ◽  
Stock Portfolio

<p style='text-indent:20px;'>A stock portfolio is a collection of assets owned by investors, such as companies or individuals. The determination of the optimal stock portfolio is an important issue for the investors. Management of investors' capital in a portfolio can be regarded as a dynamic optimal control problem. At the same time, the investors should also consider about the prediction of stock prices in the future time. Therefore, in this research, we propose Geometric Brownian Motion-Kalman Filter (GBM-KF) method to predict the future stock prices. Subsequently, the stock returns will be calculated based on the forecasting results of stock prices. Furthermore, Model Predictive Control (MPC) will be used to solve the portfolio optimization problem. It is noticeable that the management strategy of stock portfolio in this research considers the constraints on assets in the portfolio and the cost of transactions. Finally, a practical application of the solution is implemented on 3 company's stocks. The simulation results show that the performance of the proposed controller satisfies the state's and the control's constraints. In addition, the amount of capital owned by the investor as the output of system shows a significant increase.</p>

scholarly journals Portfolio optimization and model predictive control: A kinetic approach

2019 ◽  
Vol 24 (11) ◽  
pp. 6209-6238 ◽  
Author(s):  
Torsten Trimborn ◽  
◽  
Lorenzo Pareschi ◽  
Martin Frank ◽  
◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Portfolio Optimization ◽  
Predictive Control ◽  
Kinetic Approach
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