activity
20072021
most citedA Convex Stochastic Optimization Problem Arising from Portfolio Selection

118 citations · 174 across the 10 of their papers we have counts for

collaborators

10 papers

physics.soc-ph2021★ 2 cited

Optimal Lockdown Policy for Covid-19: A Modelling Study

Yuting Fu, Haitao Xiang, Hanqing Jin +1

As the COVID19 spreads across the world, prevention measures are becoming the essential weapons to combat the pandemic in the period of crisis. The lockdown measure is the most con…

cs.DC2020★ 1 cited

AlphaBlock: An Evaluation Framework for Blockchain Consensus Protocols

Haitao Xiang, Zhijie Ren, Ziheng Zhou +2

Consensus protocols play a pivotal role to balance security and efficiency in blockchain systems. In this paper, we propose an evaluation framework for blockchain consensus protoco…

q-fin.MF2020

Consistent Investment of Sophisticated Rank-Dependent Utility Agents in Continuous Time

Ying Hu, Hanqing Jin, Xun Yu Zhou

We study portfolio selection in a complete continuous-time market where the preference is dictated by the rank-dependent utility. As such a model is inherently time inconsistent du…

q-fin.MF2017

Mean-variance portfolio selection with nonlinear wealth dynamics and random coefficients

Shaolin Ji, Hanqing Jin, Xiaomin Shi

This paper studies the continuous time mean-variance portfolio selection problem with one kind of non-linear wealth dynamics. To deal the expectation constraint, an auxiliary stoch…

math.PR2016★ 15 cited

Optimal Unbiased Estimation for Maximal Distribution

Hanqing Jin, Shige Peng

Unbiased estimation for parameters of maximal distribution is a very fundamental problem in the statistical theory of sublinear expectation. In this paper, we proved that the maxim…

q-fin.PM2015★ 4 cited

Time-Inconsistent Stochastic Linear--Quadratic Control: Characterization and Uniqueness of Equilibrium

Ying Hu, Hanqing Jin, Xun Yu Zhou

In this paper, we continue our study on a general time-inconsistent stochastic linear--quadratic (LQ) control problem originally formulated in [6]. We derive a necessary and suffic…