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相关论文: Equilibrium Strategies for the N-agent Mean-Varian…

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We consider the mean--variance portfolio optimization problem under the game theoretic framework and without risk-free assets. The problem is solved semi-explicitly by applying the extended Hamilton--Jacobi--Bellman equation. Although the…

投资组合管理 · 定量金融 2016-02-17 Chi Kin Lam , Yuhong Xu , Guosheng Yin

This paper considers a robust time-consistent mean-variance-skewness portfolio selection problem for an ambiguity-averse investor by taking into account wealth-dependent risk aversion and wealth-dependent skewness preference as well as…

最优化与控制 · 数学 2022-01-19 Jian-hao Kang , Nan-jing Huang , Zhihao Hu , Ben-Zhang Yang

In this paper, both dynamic mean-variance portfolio selection problems and dynamic variance hedging problems are discussed under non-Markovian framework. Explicit closed-loop equilibrium strategies of these problems are respectively…

最优化与控制 · 数学 2018-02-06 Tianxiao Wang

This paper is concerned with the uniqueness issue of open-loop equilibrium investment strategies of dynamic mean-variance portfolio selection problems with random coefficients. A unified method is developed to treat both the problems with…

最优化与控制 · 数学 2018-02-06 Tianxiao Wang

We study a continuous-time portfolio choice problem for an investor whose state-dependent preferences are determined by an exogenous factor that evolves as an It\^o diffusion process. Since risk attitudes at the end of the investment…

数理金融 · 定量金融 2025-12-25 Luca De Gennaro Aquino , Sascha Desmettre , Yevhen Havrylenko , Mogens Steffensen

This paper studies an optimal dividend problem for a company that aims to maximize the mean-variance (MV) objective of the accumulated discounted dividend payments up to its ruin time. The MV objective involves an integral form over a…

最优化与控制 · 数学 2025-08-19 Jingyi Cao , Dongchen Li , Virginia R. Young , Bin Zou

In this report we derive the strategic (deterministic) allocation to bonds and stocks resulting in the optimal mean-variance trade-off on a given investment horizon. The underlying capital market features a mean-reverting process for equity…

数理金融 · 定量金融 2022-01-17 Søren Fiig Jarner

Under mean-variance-utility framework, we propose a new portfolio selection model, which allows wealth and time both have influences on risk aversion in the process of investment. We solved the model under a game theoretic framework and…

投资组合管理 · 定量金融 2020-08-11 Ben-Zhang Yang , Xin-Jiang He , Song-Ping Zhu

This paper is devoted to study the effects arising from imposing a value-at-risk (VaR) constraint in mean-variance portfolio selection problem for an investor who receives a stochastic cash flow which he/she must then invest in a…

投资组合管理 · 定量金融 2010-11-24 Jun Ye , Tiantian Li

This paper studies an optimal investment-consumption problem for competitive agents with exponential or power utilities and a common finite time horizon. Each agent regards the average of habit formation and wealth from all peers as…

最优化与控制 · 数学 2024-05-06 Zongxia Liang , Keyu Zhang

In this paper, we consider the asset-liability management under the mean-variance criterion. The financial market consists of a risk-free bond and a stock whose price process is modeled by a geometric Brownian motion. The liability of the…

风险管理 · 定量金融 2013-05-01 Qian Zhao , Jiaqin Wei , Rongming Wang

This study employs expected certainty equivalents to explore the reinsurance and investment issue pertaining to an insurer that aims to maximize the expected utility while being subject to random risk aversion. The insurer's surplus process…

最优化与控制 · 数学 2025-01-03 Jian-hao Kang , Zhun Gou , Nan-jing Huang

In this paper, we study a class of risk-sensitive mean-field stochastic differential games. We show that under appropriate regularity conditions, the mean-field value of the stochastic differential game with exponentiated integral cost…

最优化与控制 · 数学 2012-10-11 Hamidou Tembine , Quanyan Zhu , Tamer Basar

This paper studies a continuous-time portfolio selection problem under a general distribution of random risk aversion (RRA). We provide a complete characterization of all deterministic equilibrium strategies in closed form. Our results show…

数理金融 · 定量金融 2026-02-02 Weilun Cheng , Zongxia Liang , Sheng Wang , Jianming Xia

In this paper, we study a class of discrete-time mean-field games under the infinite-horizon risk-sensitive discounted-cost optimality criterion. Risk-sensitivity is introduced for each agent (player) via an exponential utility function. In…

最优化与控制 · 数学 2018-10-08 Naci Saldi , Tamer Basar , Maxim Raginsky

When we implement a portfolio selection methodology under a mean-risk formulation, it is essential to correctly model investors' risk aversion which may be time-dependent, or even state-dependent during the investment procedure. In this…

投资组合管理 · 定量金融 2015-08-04 Xiangyu Cui , Xun Li , Duan Li , Yun Shi

This paper investigates portfolio selection within a continuous-time financial market with regime-switching and beliefs-dependent utilities. The market coefficients and the investor's utility function both depend on the market regime, which…

最优化与控制 · 数学 2024-10-23 Xiaochen Chen , Guohui Guan , Zongxia Liang

In this paper, we study closed-loop equilibrium strategies for mean-variance portfolio selection problem in a hidden Markov model with dynamic attention behavior. In addition to the investment strategy, the investor's attention to news is…

最优化与控制 · 数学 2022-05-19 Y. Zhang , Z. Jin , J. Wei , G. Yin

This paper revisits the classical Merton portfolio choice problem over infinite horizon for high risk aversion, addressing technical challenges related to establishing the existence and identification of optimal strategies. Traditional…

最优化与控制 · 数学 2025-08-05 Enrico Biffis , Cristina Di Girolami , Salvatore Federico , Fausto Gozzi

This article studies a portfolio optimization problem, where the market consisting of several stocks is modeled by a multi-dimensional jump-diffusion process with age-dependent semi-Markov modulated coefficients. We study risk sensitive…

投资组合管理 · 定量金融 2019-10-21 Milan Kumar Das , Anindya Goswami , Nimit Rana
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