4 papers
Globally Optimal Solutions to a Class of Fractional Optimization Problems Based on Proximal Gradient Algorithm
Yizun Lin, Jian-Feng Cai, Zhao-Rong Lai +1
This paper investigates a category of constrained fractional optimization problems that emerge in various practical applications. The objective function for this category is charac…
A Krasnoselskii-Mann Proximity Algorithm for Markowitz Portfolios with Adaptive Expected Return Level
Yizun Lin, Yongxin He, Zhao-Rong Lai
Markowitz's criterion aims to balance expected return and risk when optimizing the portfolio. The expected return level is usually fixed according to the risk appetite of an invest…
A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization
Yizun Lin, Zhao-Rong Lai, Cheng Li
The Sharpe ratio is an important and widely-used risk-adjusted return in financial engineering. In modern portfolio management, one may require an m-sparse (no more than m active a…
Autonomous Sparse Mean-CVaR Portfolio Optimization
Yizun Lin, Yangyu Zhang, Zhao-Rong Lai +1
The -constrained mean-CVaR model poses a significant challenge due to its NP-hard nature, typically tackled through combinatorial methods characterized by high computationa…