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相关论文: Portfolio Liquidation Games with Self-Exciting Ord…

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We study mean field portfolio games with random market parameters, where each player is concerned with not only her own wealth but also relative performance to her competitors. We use the martingale optimality principle approach to…

数理金融 · 定量金融 2022-04-26 Guanxing Fu , Chao Zhou

We study mean field portfolio games with consumption. For general market parameters, we establish a one-to-one correspondence between Nash equilibria of the game and solutions to some FBSDE, which is proved to be equivalent to some BSDE.…

数理金融 · 定量金融 2022-12-08 Guanxing Fu

Motivated by recent empirical findings on the periodic phenomenon of aggregated market volumes in equity markets, we aim to understand the causes and consequences of periodic trading activities through a game-theoretic perspective,…

数理金融 · 定量金融 2024-08-20 Yufan Chen , Lan Wu , Renyuan Xu , Ruixun Zhang

We analyze a market impact game between $n$ risk averse agents who compete for liquidity in a market impact model with permanent price impact and additional slippage. Most market parameters, including volatility and drift, are allowed to…

交易与市场微观结构 · 定量金融 2020-01-06 Samuel Drapeau , Peng Luo , Alexander Schied , Dewen Xiong

We consider a mean field game (MFG) of optimal portfolio liquidation under asymmetric information. We prove that the solution to the MFG can be characterized in terms of a FBSDE with possibly singular terminal condition on the backward…

最优化与控制 · 数学 2021-01-26 Guanxing Fu , Paulwin Graewe , Ulrich Horst , Alexandre Popier

We consider both $N$-player and mean-field games of optimal portfolio liquidation in which the players are not allowed to change the direction of trading. Players with an initially short position of stocks are only allowed to buy while…

数理金融 · 定量金融 2025-07-31 Guanxing Fu , Paul P. Hager , Ulrich Horst

We consider a novel class of portfolio liquidation games with market drop-out ("absorption"). More precisely, we consider mean-field and finite player liquidation games where a player drops out of the market when her position hits zero. In…

数理金融 · 定量金融 2023-09-08 Guanxing Fu , Paul P. Hager , Ulrich Horst

We formulate and solve a multi-player stochastic differential game between financial agents who seek to cost-efficiently liquidate their position in a risky asset in the presence of jointly aggregated transient price impact, along with…

交易与市场微观结构 · 定量金融 2023-03-24 Eyal Neuman , Moritz Voß

We consider a general class of finite-player stochastic games with mean-field interaction, in which the linear-quadratic cost functional includes linear operators acting on controls in $L^2$. We propose a novel approach for deriving the…

最优化与控制 · 数学 2024-02-16 Eduardo Abi Jaber , Eyal Neuman , Moritz Voß

We investigate stochastic utility maximization games under relative performance concerns in both finite-agent and infinite-agent (graphon) settings. An incomplete market model is considered where agents with power (CRRA) utility functions…

最优化与控制 · 数学 2024-12-05 Zongxia Liang , Keyu Zhang , Yaqi Zhuang

In this article, we concern a kind of partially observed non-zero sum stochastic differential game based on forward and backward stochastic differential equations (FBSDEs). It is required that each player has his own observation equation,…

最优化与控制 · 数学 2016-01-05 Jie Xiong , Shuaiqi Zhang , Yi Zhuang

In this paper we present a new competitive packet routing model with edge priorities. We consider players that route selfishly through a network over time and try to reach their destinations as fast as possible. If the number of players who…

计算机科学与博弈论 · 计算机科学 2018-08-22 Robert Scheffler , Martin Strehler , Laura Vargas Koch

We study a multi-player stochastic differential game, where agents interact through their joint price impact on an asset that they trade to exploit a common trading signal. In this context, we prove that a closed-loop Nash equilibrium…

数理金融 · 定量金融 2023-06-23 Alessandro Micheli , Johannes Muhle-Karbe , Eyal Neuman

This paper proposes a new mathematical paradigm to analyze discrete-time mean-field games. It is shown that finding Nash equilibrium solutions for a general class of discrete-time mean-field games is equivalent to solving an optimization…

最优化与控制 · 数学 2023-08-29 Xin Guo , Anran Hu , Junzi Zhang

We study an $N$-player and a mean field exponential utility game. Each player manages two stocks; one is driven by an individual shock and the other is driven by a common shock. Moreover, each player is concerned not only with her own…

最优化与控制 · 数学 2020-07-17 Guanxing Fu , Xizhi Su , Chao Zhou

We study a game-theoretic variant of the maximum circulation problem. In a flow allocation game, we are given a directed flow network. Each node is a rational agent and can strategically allocate any incoming flow to the outgoing edges.…

计算机科学与博弈论 · 计算机科学 2023-12-22 Nils Bertschinger , Martin Hoefer , Daniel Schmand

We study a general class of fully coupled backward-forward stochastic differential equations of mean-field type (MF-BFSDE). We derive existence and uniqueness results for such a system under weak monotonicity assumptions and without the…

概率论 · 数学 2020-03-03 Yinggu Chen , Boualem Djehiche , Said Hamadene

We study mean field portfolio games under Epstein-Zin preferences, which naturally encompass the classical time-additive power utility as a special case. In a general non-Markovian framework, we establish a uniqueness result by proving a…

数理金融 · 定量金融 2025-05-13 Guanxing Fu , Ulrich Horst

We consider dynamic games defined over an infinite horizon, characterized by linear, discrete-time dynamics and quadratic cost functionals. Considering such linear-quadratic (LQ) dynamic games, we focus on their solutions in terms Nash…

最优化与控制 · 数学 2024-12-02 A. Monti , B. Nortmann , T. Mylvaganam , M. Sassano

The goal of the paper is to develop the theory of finite state mean field games with major and minor players when the state space of the game is finite. We introduce the finite player games and derive a mean field game formulation in the…

概率论 · 数学 2016-10-19 Rene Carmona , Peiqi Wang
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