A new behavioral model for portfolio selection using the Half-Full/Half-Empty approach
该研究将半满/半空行为模型推广到正负彩票情境，构建投资组合选择模型，通过混合整数线性规划求解，并用真实数据验证了模型的理论性质和参数灵活性。
We focus on a behavioral model that has been recently proposed in the literature, whose rationale can be traced back to the Half-Full/Half-Empty glass metaphor. More precisely, we generalize the Half-Full/Half-Empty approach to the context of positive and negative lotteries and give financial and behavioral interpretations of the Half-Full/Half-Empty parameters. We develop a portfolio selection model based on the Half-Full/Half-Empty strategy, resulting in a nonconvex optimization problem, which, nonetheless, is proven to be equivalent to an alternative Mixed-Integer Linear Programming formulation. Based on three real-world datasets, we obtain empirical validation of the theoretical properties of the Half-Full/Half-Empty model, and the computational results highlight the versatility of our approach when varying its defining parameter values.