activity
20132026
most citedWeighted estimation of the dependence function for an extreme-value distribution

5 citations · 7 across the 8 of their papers we have counts for

collaborators

8 papers

q-fin.RM2026

Perfectly Fitting CDO Prices Across Tranches: A Theoretical Framework with Efficient Algorithms

Lan Bu, Ning Cai, Chenxi Xia +1

This paper addresses a key challenge in CDO modeling: achieving a perfect fit to market prices across all tranches using a single, consistent model. The existence of such a perfect…

q-fin.RM2025

Rating criteria, risk measures, and risk consistency

Nan Guo, Ruodu Wang, Chenxi Xia +1

Categorical ratings are widely used by investors to screen financial products, such as defaultable securities and investment funds. We model rating criteria as discrete transforms…

math.ST2022

Inference of high quantiles of a heavy-tailed distribution from block data

Yongcheng Qi, Mengzi Xie, Jingping Yang

In this paper we consider the estimation problem for high quantiles of a heavy-tailed distribution from block data when only a few largest values are observed within blocks. We pro…

q-fin.CP2020

Asymptotic expansion for the transition densities of stochastic differential equations driven by the gamma processes

Fan Jiang, Xin Zang, Jingping Yang

In this paper, enlightened by the asymptotic expansion methodology developed by Li(2013b) and Li and Chen (2016), we propose a Taylor-type approximation for the transition densitie…

q-fin.MF2019★ 1 cited

Common Decomposition of Correlated Brownian Motions and its Financial Applications

Tianyao Chen, Xue Cheng, Jingping Yang

In this paper, we develop a theory of common decomposition for two correlated Brownian motions, in which, by using change of time method, the correlated Brownian motions are repres…

math.PR2018★ 1 cited

Decomposing Correlated Random Walks on Common and Counter Movements

Tianyao Chen, Xue Cheng, Jingping Yang

Random walk is one of the most classical and well-studied model in probability theory. For two correlated random walks on lattice, every step of the random walks has only two state…