collaborators

7 papers

math.OC2026

Distributionally Robust Reinsurance under Robust Optimized Certainty Equivalent Risk Measure

Xinqiao Xie, Taizhong Hu, Tiantian Mao

In this paper, we introduce a class of preference robust risk measures-\emph{robust optimized certainty equivalents} (ROCE)-which encompasses several widely used measures, includin…

math.PR2026

Further Developments on Stochastic Dominance for Convex Combinations of Infinite-Mean Random Variables

Keyi Zeng, Zhenfeng Zou, Yuting Su +1

In recent years, stochastic dominance for independent and identically distributed (iid) infinite-mean random variables has received considerable attention. The literature has ident…

math.PR2026

Moment inequalities for higher-order (inverse) stochastic dominance

Meng Guan, Zhenfeng Zou, Taizhong Hu

Stochastic dominance has been studied extensively, particularly in the finance and economics literature. In this paper, we obtain two results. First, necessary conditions for highe…

math.PR2025

Negative Dependence in Knockout Tournaments

Yuting Su, Zhenfeng Zou, Taizhong Hu

Negative dependence in tournaments has received attention in the literature. The property of negative orthant dependence (NOD) was proved for different tournament models with a spe…

q-fin.RM2025

Extreme-case Range Value-at-Risk under Increasing Failure Rate

Yuting Su, Taizhong Hu, Zhenfeng Zou

The extreme cases of risk measures, when considered within the context of distributional ambiguity, provide significant guidance for practitioners specializing in risk management o…

math.PR2025

Stochastic dominance for linear combinations of infinite-mean risks

Yuyu Chen, Taizhong Hu, Seva Shneer +1

In this paper, we establish a sufficient condition to compare linear combinations of independent and identically distributed (iid) infinite-mean random variables under usual stocha…