The project is composed of two main parts. First, the rate of return for the investments available in BIST-100 will be estimated by different methods. Then, the portfolio optimization problem under different risk constraints will be solved using mathematical programming and the estimated data.
Faculty Department of Project Supervisor:
Faculty of Engineering and Natural Sciences
Number of Students:
Related Areas of Project:
Computer Science and Engineering