Quantum-inspired Computing: Entanglement-enhanced Technique for Short Portfolio in Global Markets
Yu-Chi Jiang, Yun-Ting Lai, Po-Chun Chen, Yuyu Chang, Kun-Min Wu, Shu–Yu Kuo, Yao–Hsin Chou, Sy‐Yen Kuo · 2023
Portfolio optimization is an essential aspect of the development of quantum computing. The quantum-inspired op-timization (QIO) algorithm facilitates an efficient search for the optimal solution by simulating quantum mechanics on a classical computer, thus bridging quantum theory and the actual implementation of quantum computing. This study proposes an entanglement-based QIO to optimize the short-selling portfolio in a group of seven (G7) industrialized nations, which are the world's largest markets and significantly impact global economies. To diversify investment options in response to the ever-changing markets, short-selling is a worthy topic for dis-cussion. The innovative trend ratio can precisely determine the performance of a short-selling portfolio during a stable downward trend. Implementing the short-selling trend ratio model in the significant G7 markets broadens its applicability.