Workshop on Applied Mathematics
June 6-8, 2016, Shandong University
Sponsors
School of Mathematics, Shandong University
Qilu Securities institute for financial studies, Shandong University
Joint Research Center on Financial Mathematics
Joint Research Center Committee
Directors:
Prof. PengShige, Shandong University
Prof. Chen Xiaojun, The Hong Kong Polytechnic University
Prof. Ng Michael Kwok-Po, Hong Kong Baptist University
Deputy Directors:
Prof. Chen Zengjing,Shandong University
Prof. Wu Zhen, Shandong University
Dr. Yiu Ka Fai Cedric, The Hong Kong Polytechnic University
Dr. Yuan Xiaoming, Hong Kong Baptist University
Venue
Zhixin Building B1238, Shandong University, Jinan, Shandong
Participants
Bensoussan Alain, University of Texas at Dallas and City University of Hong Kong
Chen Zengjing, Shandong University
HuMingshang, Shandong University
Huang Jianhui James, The Hong Kong Polytechnic University
Huang Zongyuan, Shandong University
Ji Shaolin, Shandong University
JiaGuangyan, Shandong University
Li Xinpeng, Shandong University
Lin Lu,Shandong University
Luan Yihui, Shandong University
NieTianyang, Shandong University
Peng Shige, Shandong University
Shi Jingtao, Shandong University
Shi Yufeng, Shandong University
Wang Falei, Shandong University
Wang Hanchao, Shandong University
Wang Xin, Shandong University
Wei Gang, Shandong University
Wu Panyu, Shandong University
Wu Zhen, Shandong University
XuZuoquan, The Hong Kong Polytechnic University
Yiu Ka Fai Cedric, The Hong Kong Polytechnic University
Yu Xiang, The Hong Kong Polytechnic University
Zhang Guofeng, The Hong Kong Polytechnic University
Zhang Zaikun, The Hong Kong Polytechnic University
Zhao Weidong, Shandong University
Zhao Xingqiu, The Hong Kong Polytechnic University
Tuesday, June 7, 2016 |
Time | Schedule | Chair | Speaker |
8:00-8:30 | Registration | | |
8:30-8:40 | Opening Speech | Peng Shige | |
8:40-9:30 | Plenary Talk | Bensoussan Alain |
9:30-9:45 | Coffee Break |
9:45-10:15 | Invited Talk | Wu Zhen | XuZuoquan |
10:15-10:45 | Invited Talk | Zhang Guofeng |
10:45-11:00 | Coffee Break |
11:00-11:30 | Invited Talk | Lin Lu | Zhao Xingqiu |
11:30-12:00 | Invited Talk | Wang Hanchao |
12:00 | Lunch |
14:30-15:00 | Invited Talk | Zhao Weidong | Shi Jingtao |
15:00-15:30 | Invited Talk | Yu Xiang |
15:30-15:45 | Coffee Break |
15:45-16:15 | Invited Talk | Luan Yihui | Li Xinpeng |
16:15-16:45 | Invited Talk | Hu Mingshang |
16:45-17:00 | Coffee Break |
17:00-17:30 | Invited Talk | Ji Shaolin | Huang Jianhui James |
17:30-18:00 | Invited Talk | NieTianyang |
18:00 | Banquet |
Wednesday, June 8, 2016 |
Time | Schedule | Chair | Speaker |
9:00-9:30 | Invited Talk | Shi Yufeng | YiuKa Fai Cedric |
9:30-10:00 | Invited Talk | Wang Falei |
10:00-10:30 | Coffee Break |
10:30-11:00 | Invited Talk | JiaGuangyan | Zhang Zaikun |
11:00-11:30 | Invited Talk | Wu Panyu |
11:30-12:00 | Discussion | | |
12:00 | Lunch |
Remark
Dinner of June 6: Buffet in Xueren Hotel
Banquet of June 7: Xueren Hotel
Coffee Break and Lunch: Zhixin Building B1135
Abstracts of Talks
Title: Capital Accumulation and Real Options
Bensoussan Alain
University of Texas at Dallas and City University of Hong Kong
abensous@cityu.edu.hk and Alain.Bensoussan@utdallas.edu
Abstract: We study here the situation of a firm which exploits an external resource, and decides its investments at appropriate times, in the spirit of real options. However, we are interested in a sequence of projects, and not just a single one. Each project represents a substantial investment, with fixed cost and variable costs measuring the scale of the project. At the same time, the firm is growing and thus accumulates capital, which puts it each time in a more favorable position to exploit the external resource. The problem is to define the sequence of optimal stopping times to invest. We follow the methodology of impulse control, in which the value function is the solution of a Quasi Variational Inequality (QVI). We obtain new types of QVI, which we can solve in some particular cases.
Product space for two processes with independent increments under nonlinear expectations
Hu Mingshang
Shandong University
humingshang@sdu.edu.cn
Abstract: In this paper, we consider the product space for two processes with independent increments under nonlinear expectations. By introducing a discretization method, we construct a nonlinear expectation under which the given two processes can be seen as a new process with independent increments.
Linear-Quadratic Mean-Field Games with Input Constraints
Huang Jianhui James
The Hong Kong Polytechnic University
majhuang@polyu.edu.hk
Abstract:We study the linear-quadratic mean-field games in which the input is subject to constraints characterized by some convex-cone. The consistency condition is established by the monotonicity condition of projection operator and some mean-field type forward-backward stochastic differential equation. The approximate Nash equilibrium is also verified.
Title: Risk, uncertainty and arbitrage
Li Xinpeng
Shandong University
lixinpeng@sdu.edu.cn
Abstract: We discuss the notions of risk and uncertainty in the financial market following Knight (1921). Empirical research of Chinese and French option markets will support our theoretical results.
Title:A BSDE approach to fair bilateral pricing under funding costs and collateralization
NieTianyang
Shandong University
nietianyang@sdu.edu.cn
Abstract: Bielecki and Rutkowski (2015) introduced and studied a generic non-linear market model,which includes several risky assets, multiple funding accounts and margin accounts. In this talk, we examine the pricing and hedging of contract both from the perspective of the hedgerand the counterparty with arbitrary initial endowments. We derive inequalities for unilateralprices and we study the range of fair bilateral prices andwe study the positive homogeneityand monotonicity of unilateral prices with respect to the initial endowments. We alsoextend the results to the case of an endogenous marginaccount depending on the contract’s value for the hedger and/or the counterparty by using the backward stochasticviability property. Our results generalized in several respects theoption pricing results from Bergman, Mercurio and Piterbarg, respectively, byconsidering contracts with cash stream flows and allowing for idiosyncraticfunding costs for risky assets.
This talk is based on joint works with Prof. MarekRutkowski (University of Sydney, Australia).
Title: Connection between MP and DPP for Stochastic Recursive Optimal Control Problems: Viscosity Solution Framework in General Case
Shi Jingtao
Shandong University
shijingtao@sdu.edu.cn
Abstract: This talk deals with a stochastic recursive optimal control problem, where the diffusion coefficient depends on the control variable and the control domain is not necessarily convex.We focus on the connection between the general maximum principle and the dynamic programming principle for such control problem without the assumption that the value is smooth enough, the set inclusions among the sub- and super-jets of the value function and the first-order and second-order adjoint processes as well as the generalized Hamiltonian function are established. Moreover, bycomparing this results with the ones in Yong and Zhou [Stochastic Controls: Hamiltonian Systems and HJB Equations, Springer-Verlag, New York, 1999], it is natural to obtain the first-order andsecond-order adjoint equations of Hu [Diret method on stochastic maximum principle for optimization with recursive utilities, arXiv:1507.03567v1 [math.OC], 13 Jul. 2015]. (Joint work with Dr. TianyangNie and Prof. Zhen Wu.)
Title: Stochastic optimal control with infinite horizon and Hamilton- Jacobi-Bellman equations in the G-expectation framework
Wang falei
Shandong University
flwang@sdu.edu.cn
Abstract: The present paper considers a stochastic optimal control problem, in which the cost function is defined through a backward stochastic differential equation with infinite horizon driven by G-Brownian motion. Then we study the regularities of the value function and establish the dynamic programming principle. Moreover, we prove that the value function is the uniqueness viscosity solution of the related HJB equation.
Title:Weak convergence to stochastic integrals for econometric applications
Wang Hanchao
Shandong University
wanghanchao@sdu.edu.cn
Abstract: In cointegration model, endogeneity and nonlinearity play major roles and complicate the limit theory. In this talk, we explore weak convergence limit theory to overcome endogeneity and nonlinearity, and obtain some weak convergence theorems on stochastic integrals. An nonlinear extension of FM regression is used to illustrate practical application of our results.
Title:Strong laws of large numbers for non-additive probabilities
Wu Panyu
Shandong University
wupanyu@sdu.edu.cn
Abstract: In this talk, we give the strong laws of large numbers for non-additive probabilities with the notion of independence for random variables under upper expectations. These results are natural extensions of the classical Kolmogorov’s strong law of large numbers to the case where the probability is no longer additive.
Title:Investment model with intractable claims
XuZuoquan
The Hong Kong Polytechnic University
zuoquan.xu@polyu.edu.hk
Abstract: We will present a Markowitz mean-variance models with intractable claim involvedin the terminal wealth. The term “intractable claim” refers to claims (rewardsor losses) that are irrelevant to the underlying market. The payoffs of such claimscannot be predicted or hedged based on the underlying financial market even if theinformation of the financial market is increasingly available to the investor over time.The target of the investor is to minimize the variance in the worst scenario over allthe possible realizations of the underlying intractable claim. Because of the timeinconsistentnature of the problem, both the standard penalization approach andthe duality method used to tackle robust stochastic control problems fail for thesemodels. Instead, the quantile formulation and martingale approaches are adoptedto tackle the problems and closed-form solutions are derived. The properties of themean-variance frontiers will also be discussed.
The presentation is based on jointworks with DanlinHou (The Hong Kong Polytechnic University) and Xun Yu Zhou(Columbia University and University of Oxford).
Title:Optimization with engineering and financial applications
YiuK.F.C.
The Hong Kong Polytechnic University,
macyiu@polyu.edu.hk
Abstract: Optimization has been an essential tools for many practical problems, including engineering and financial applications. In this talk, we will discuss some advances in optimal design of filters, as well as broadband beamforming system. We review on various approaches and discuss some of the performance issues. Different optimization models will be considered. In particular, we found that the geometric configuration of the array is important for the accuracy of the designs.
In financial risk management, optimization is applied extensively for portfolio selection. Here, we consider the risk-constrained portfolio selection problems arising from an ordinary investor or an insurer who can invest her surplus into financial market. The goal is to maximize the expected utility of terminal wealth. We will examine a few scenarios with different stochastic processes and discuss how to solve the resulting HJB equation. Furthermore, we will investigate the impacts of the risk constraint on the optimal strategies.
Title:On the Market Viability under Proportional Transaction Costs
Yu Xiang
The Hong Kong Polytechnic University,
xiang.yu@polyu.edu.hk
Abstract: This project studies the market viability with proportional transaction costs. Instead of requiring the existence of strictly consistent price systems (SCPS) as in the literature, we show that strictly consistent local martingale systems (SCLMS) can successfully serve as the dual elements such that the market viability can be verified. We introduce two weaker notions of no arbitrage conditions on market models named no unbounded profit with bounded risk (NUPBR) and no local arbitrage with bounded portfolios (NLABP). In particular, we show that the NUPBR and NLABP conditions in the robust sense for the smaller bid-ask spreads is the equivalent characterization of the existence of SCLMS for general market models. We also discuss the implications for the utility maximization problem.
Title:Continuous-time multi-photon filtering
Zhang Guofeng
The Hong Kong Polytechnic University,
guofeng.zhang@polyu.edu.hk
Abstract: In this talk we discuss filtering for an arbitrary open quantumsystem driven by a light wavepacket in a continuous-modemulti-photon state. A continuous-mode multi-photon state is a state of atravelling wavepacket that contains a definite number of photons and ischaracterised by a temporal (or spectral) profile. After the interactionwith the system, the output light is measured by means of homodynedetection or photodetection. Filters for both cases are derived in thispaper. As illustrated by an example --- a two-level atom driven by acontinuous-mode two-photon state, multi-photon filters can revealinteresting optical phenomena absent in either the single-photon filtercase or the continuous-mode Fock state case.
Title:A Subspace Decomposition Framework for Nonlinear Optimization
Zhang Zaikun
The Hong Kong Polytechnic University,
zaikun.zhang@polyu.edu.hk
Abstract: We present a parallel subspace decomposition framework for nonlinear optimization, which can be regarded as an extension of the domain decomposition method for PDEs. A feature of the framework is that it incorporates the restricted additive Schwarz methodology into the synchronization phase of the algorithm. We establish the global convergence and worst case iteration complexity of the framework, and illustrate how this framework can be applied to design parallel algorithms for optimization problems with or without derivatives.
This is a joint work with S. Gratton (IRIT/ENSEEIHT/INPT, France) and L. N. Vicente (University of Coimbra, Portugal).
Title:Sieve Estimation of Cox Models with Latent Structures
Zhao Xingqiu
The Hong Kong Polytechnic University,
xingqiu.zhao@polyu.edu.hk
Abstract: In this talk we considers sieve estimation of Cox models with unknown structures based on right censored data, which often occur in survival studies. For the problem, we propose a semiparametric pursuit method to simultaneouslyidentify and estimate linear and nonlinear covariate effects on the log hazards function through a penalized groupselection method with folded concave penalties. Both the parametric and nonparametric estimators are consistent, and the parametric estimator is asymptotically normal. To compute the proposed estimators, we develop a modified blockwisemajorization descent algorithm that is easy to implement and has a fast convergence rate. Both simulation studies and real data analysis results indicate that the proposed method works well.
Contact InformationShi Chunmei15866727100 Email: meisdu@sdu.edu.cn
Shi Jingtao 13583117831 Email: shijingtao@sdu.edu.cn
NieTianyang15288861361 Email: nietianyang@sdu.edu.cn
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