activity
20202026
most citedAn unexpected stochastic dominance: Pareto distributions, dependence, and diversification

4 citations · 9 across the 6 of their papers we have counts for

collaborators

7 papers

econ.TH2026

A unified decision model for Bayesian ambiguity and non-affine statistics

Zachary Van Oosten, Ruodu Wang

This paper studies decision functionals under ambiguity when pure-risk evaluation is determined by a general, possibly non-affine statistic. We represent ambiguity perception by a…

econ.TH2024

Disappointment concordance and duet expectiles

Fabio Bellini, Tiantian Mao, Ruodu Wang +1

We introduce an axiom of disappointment-concordance (disco) aversion for a preference relation over acts in an Anscombe-Aumann setting. This axiom means that the decision maker, fa…

q-fin.ST2024★ 1 cited

Elicitability and identifiability of tail risk measures

Tobias Fissler, Fangda Liu, Ruodu Wang +1

Tail risk measures are fully determined by the distribution of the underlying loss beyond its quantile at a certain level, with Value-at-Risk, Expected Shortfall and Range Value-at…

q-fin.RM2023

Monotonic mean-deviation risk measures

Xia Han, Ruodu Wang, Qinyu Wu

Mean-deviation models, along with the existing theory of coherent risk measures, are well studied in the literature. In this paper, we characterize monotonic mean-deviation (risk)…

econ.TH2023

Risk Aversion and Insurance Propensity

Fabio Maccheroni, Massimo Marinacci, Ruodu Wang +1

We provide a new foundation of risk aversion by showing that this attitude is fully captured by the propensity to seize insurance opportunities. Our foundation, which applies to al…

q-fin.RM2022★ 4 cited

An unexpected stochastic dominance: Pareto distributions, dependence, and diversification

Yuyu Chen, Paul Embrechts, Ruodu Wang

We find the perhaps surprising inequality that the weighted average of independent and identically distributed Pareto random variables with infinite mean is larger than one such ra…

stat.ME2020★ 4 cited

True and false discoveries with independent and sequential e-values

Vladimir Vovk, Ruodu Wang

In this paper we use e-values in the context of multiple hypothesis testing assuming that the base tests produce independent, or sequential, e-values. Our simulation and empirical…