Title：Portfolio Optimization based on Novel Assessment Strategies and Quantum-inspired Search Algorithms
Time：Prof. Shu-Yu Kuo (Dept. of  Computer Science and Engineering, National Chung Hsing University)
Place： Rm104: Chin-Pao Yang Lecture Hall, CCMS & New Physics Building, NTU

Abstract:
The task of optimizing the portfolio is to have a stable return and lower its overall risk. Selecting the best combination of stocks with low risk and high return simultaneously is a significant challenge for investors. Deciding which stocks should be invested in or not and finding the optimal combination of parameters for different technical indicators with targets and different investment situations are quite difficult in such a large solution space as well. In this talk, I will talk about our recent works on portfolio optimization based on novel assessment strategies. Experiments show many interesting and promising results by using quantum-inspired search algorithms.