activity
20092023
most citedBackward stochastic dynamics on a filtered probability space

23 citations · 85 across the 29 of their papers we have counts for

collaborators

33 papers

math.PR2023

A robust -stable central limit theorem under sublinear expectation without integrability condition

Lianzi Jiang, Gechun Liang

This article relaxes the integrability condition imposed in the literature for the robust -stable central limit theorem under sublinear expectation. Specifically, for $α\in(0,1]…

math.FA2022★ 1 cited

Vague and weak convergence of signed measures

Martin Herdegen, Gechun Liang, Osian Shelley

Necessary and sufficient conditions for weak and vague convergence of measures are important for a diverse host of applications. This paper aims to give a comprehensive description…

math.OC2022

A continuity theorem for generalised signed measures with an application to Karamata's Tauberian theorem

Martin Herdegen, Gechun Liang, Osian Shelley

The Laplace transforms of positive measures on converge if and only if their distribution functions converge at continuity points of the limiting measure. We exten…

math.PR2022

A universal robust limit theorem for nonlinear Lévy processes under sublinear expectation

Mingshang Hu, Lianzi Jiang, Gechun Liang +1

This article establishes a universal robust limit theorem under a sublinear expectation framework. Under moment and consistency conditions, we show that, for , the i.i.d…

math.PR2021

A new monotonicity condition for ergodic BSDEs and ergodic control with super-quadratic Hamiltonians

Joe Jackson, Gechun Liang

We establish the existence (and in an appropriate sense uniqueness) of Markovian solutions for ergodic BSDEs under a novel monotonicity condition. Our monotonicity condition allows…

q-fin.MF2021★ 1 cited

Callable convertible bonds under liquidity constraints and hybrid priorities

David Hobson, Gechun Liang, Edward Wang

This paper investigates the callable convertible bond problem in the presence of a liquidity constraint modelled by Poisson signals. We assume that neither the bondholder nor the f…

q-fin.MF2021★ 1 cited

Predictable Forward Performance Processes: Infrequent Evaluation and Applications to Human-Machine Interactions

Gechun Liang, Moris S. Strub, Yuwei Wang

We study discrete-time predictable forward processes when trading times do not coincide with performance evaluation times in a binomial tree model for the financial market. The key…

math.PR2021★ 1 cited

On the rate of convergence for an -stable central limit theorem under sublinear expectation

Mingshang Hu, Lianzi Jiang, Gechun Liang

In this paper, we propose a monotone approximation scheme for a class of fully nonlinear degenerate partial integro-differential equations (PIDEs) which characterize the nonlinear…

math.PR2020

Quantitative stability and numerical analysis of Markovian quadratic BSDEs with reflection

Dingqian Sun, Gechun Liang, Shanjian Tang

We study the quantitative stability of the solutions to Markovian quadratic reflected BSDEs with bounded terminal data. By virtue of BMO martingale and change of measure techniques…

math.OC2020★ 1 cited

Risk-sensitive Dynkin games with heterogeneous Poisson random intervention times

Gechun Liang, Haodong Sun

The paper solves constrained Dynkin games with risk-sensitive criteria, where two players are allowed to stop at two independent Poisson random intervention times, via the theory o…

math.OC2020★ 3 cited

Singular stochastic control problems motivated by the optimal sustainable exploitation of an ecosystem

Gechun Liang, Zhesheng Liu, Mihail Zervos

We derive the explicit solutions to singular stochastic control problems of the monotone follower type with (a) an expected discounted criterion, (b) an expected ergodic criterion…

q-fin.PM2020★ 1 cited

A game theoretical approach to homothetic robust forward investment performance processes in stochastic factor models

Juan Li, Wenqiang Li, Gechun Liang

This paper studies an optimal forward investment problem in an incomplete market with model uncertainty, in which the underlying stocks depend on the correlated stochastic factors.…

q-fin.PR2020★ 1 cited

Pricing vulnerable options in a hybrid credit risk model driven by Heston-Nandi GARCH processes

Gechun Liang, Xingchun Wang

This paper proposes a hybrid credit risk model, in closed form, to price vulnerable options with stochastic volatility. The distinctive features of the model are threefold. First,…

math.PR2019★ 8 cited

A monotone scheme for G-equations with application to the explicit convergence rate of robust central limit theorem

Shuo Huang, Gechun Liang

We propose a monotone approximation scheme for a class of fully nonlinear PDEs called G-equations. Such equations arise often in the characterization of G-distributed random variab…

math.PR2018★ 20 cited

Systems of ergodic BSDEs arising in regime switching forward performance processes

Ying Hu, Gechun Liang, Shanjian Tang

We introduce and solve a new type of quadratic backward stochastic differential equation systems defined in an infinite time horizon, called \emph{ergodic BSDE systems}. Such syste…

q-fin.MF2018★ 2 cited

Optimal investment and consumption with forward preferences and uncertain parameters

Wing Fung Chong, Gechun Liang

This paper studies robust forward investment and consumption preferences within a zero-volatility context. Different from previous works, we consider an incomplete financial market…

q-fin.PR2018

Analysis of the optimal exercise boundary of American put options with delivery lags

Gechun Liang, Zhou Yang

A make-your-mind-up option is an American derivative with delivery lags. We show that its put option can be decomposed as a European put and a new type of American-style derivative…

math.OC2018

Dynkin games with Poisson random intervention times

Gechun Liang, Haodong Sun

This paper introduces a new class of Dynkin games, where the two players are allowed to make their stopping decisions at a sequence of exogenous Poisson arrival times. The value fu…

math.OC2018★ 1 cited

An approximation scheme for semilinear parabolic PDEs with convex and coercive Hamiltonians

Shuo Huang, Gechun Liang, Thaleia Zariphopoulou

We propose an approximation scheme for a class of semilinear parabolic equations that are convex and coercive in their gradients. Such equations arise often in pricing and portfoli…

q-fin.PM2017

Constrained portfolio-consumption strategies with uncertain parameters and borrowing costs

Zhou Yang, Gechun Liang, Chao Zhou

This paper studies the properties of the optimal portfolio-consumption strategies in a {finite horizon} robust utility maximization framework with different borrowing and lending r…

math.PR2017★ 2 cited

Utility maximization in constrained and unbounded financial markets: Applications to indifference valuation, regime switching, consumption and Epstein-Zin recursive utility

Ying Hu, Gechun Liang, Shanjian Tang

This memoir presents a systematic study of the utility maximization problem of an investor in a constrained and unbounded financial market. Building upon the work of Hu et al. (200…

q-fin.MF2016

An ergodic BSDE approach to forward entropic risk measures: representation and large-maturity behavior

Wing Fung Chong, Ying Hu, Gechun Liang +1

Using elements from the theory of ergodic backward stochastic differential equations (BSDE), we study the behavior of forward entropic risk measures. We provide their general repre…

q-fin.MF2015

Representation of homothetic forward performance processes in stochastic factor models via ergodic and infinite horizon BSDE

Gechun Liang, Thaleia Zariphopoulou

In an incomplete market, with incompleteness stemming from stochastic factors imperfectly correlated with the underlying stocks, we derive representations of homothetic (power, exp…

q-fin.MF2015★ 11 cited

Indifference Pricing and Hedging in a Multiple-Priors Model with Trading Constraints

Huiwen Yan, Gechun Liang, Zhou Yang

This paper considers utility indifference valuation of derivatives under model uncertainty and trading constraints, where the utility is formulated as an additive stochastic differ…