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20212026
most citedInvariant correlation under marginal transforms

1 citations · 5 across the 13 of their papers we have counts for

collaborators

13 papers

q-fin.RM2026

Universal Value-at-Risk superadditivity

Yuyu Chen, Liyuan Lin, Ruodu Wang

Value-at-Risk (VaR) is a standard regulatory risk measure, and its failure of subadditivity is well known. Much less appreciated is that for sufficiently heavy-tailed losses, VaR c…

q-fin.RM2025

Empirical estimator of diversification quotient

Xia Han, Liyuan Lin, Mengshi Zhao

The Diversification Quotient (DQ), introduced by Han et al. (2025), is a recently proposed measure of portfolio diversification that quantifies the reduction in a portfolio's risk-…

q-fin.PM2024

Diversification quotient based on expectiles

Xia Han, Liyuan Lin, Hao Wang +1

A diversification quotient (DQ) quantifies diversification in stochastic portfolio models based on a family of risk measures. We study DQ based on expectiles, offering a useful alt…

q-fin.RM2024

The checkerboard copula and dependence concepts

Liyuan Lin, Ruodu Wang, Ruixun Zhang +1

We study the problem of choosing the copula when the marginal distributions of a random vector are not all continuous. Inspired by four motivating examples including simulation fro…

econ.TH2024★ 1 cited

Optimal risk sharing, equilibria, and welfare with empirically realistic risk attitudes

Jean-Gabriel Lauzier, Liyuan Lin, Peter Wakker +1

This paper examines optimal risk sharing. It brings in empirical realism, reckoning with the risk seeking found empirically. We provide results on Pareto optimality, competitive eq…

math.ST2023★ 1 cited

Invariant correlation under marginal transforms

Takaaki Koike, Liyuan Lin, Ruodu Wang

A useful property of independent samples is that their correlation remains the same after applying marginal transforms. This invariance property plays a fundamental role in statist…

q-fin.RM2023

Pairwise counter-monotonicity

Jean-Gabriel Lauzier, Liyuan Lin, Ruodu Wang

We systematically study pairwise counter-monotonicity, an extremal notion of negative dependence. A stochastic representation and an invariance property are established for this de…

q-fin.RM2023★ 1 cited

Risk sharing, measuring variability, and distortion riskmetrics

Jean-Gabriel Lauzier, Liyuan Lin, Ruodu Wang

We address the problem of sharing risk among agents with preferences modelled by a general class of comonotonic additive and law-based functionals that need not be either monotone…

q-fin.RM2023

Diversification quotients based on VaR and ES

Xia Han, Liyuan Lin, Ruodu Wang

The diversification quotient (DQ) is recently introduced for quantifying the degree of diversification of a stochastic portfolio model. It has an axiomatic foundation and can be de…

q-fin.RM2022★ 1 cited

Diversification quotients: Quantifying diversification via risk measures

Xia Han, Liyuan Lin, Ruodu Wang

We establish the first axiomatic theory for diversification indices using six intuitive axioms: non-negativity, location invariance, scale invariance, rationality, normalization, a…

math.ST2022★ 1 cited

Joint mixability and notions of negative dependence

Takaaki Koike, Liyuan Lin, Ruodu Wang

A joint mix is a random vector with a constant component-wise sum. The dependence structure of a joint mix minimizes some common objectives such as the variance of the component-wi…

q-fin.RM2022

Calibrating distribution models from PELVE

Hirbod Assa, Liyuan Lin, Ruodu Wang

The Value-at-Risk (VaR) and the Expected Shortfall (ES) are the two most popular risk measures in banking and insurance regulation. To bridge between the two regulatory risk measur…

q-fin.RM2021

Risk Aggregation under Dependence Uncertainty and an Order Constraint

Yuyu Chen, Liyuan Lin, Ruodu Wang

We study the aggregation of two risks when the marginal distributions are known and the dependence structure is unknown, under the additional constraint that one risk is smaller th…