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A Markovian modulation captures the trend in the market and influences the market coefficients accordingly. The different scenarios presented by the market are modeled as the distinct states of a discrete-time Markov chain. In our paper, we…

最优化与控制 · 数学 2022-02-09 Bernardo D'Auria , José A. Salmerón

We consider $n$ risk-averse agents who compete for liquidity in an Almgren--Chriss market impact model. Mathematically, this situation can be described by a Nash equilibrium for a certain linear-quadratic differential game with state…

最优化与控制 · 数学 2015-07-08 Alexander Schied , Tao Zhang

The paper studies an oligopolistic equilibrium model of financial agents who aim to share their random endowments. The risk-sharing securities and their prices are endogenously determined as the outcome of a strategic game played among all…

综合金融 · 定量金融 2016-05-18 Michail Anthropelos

This paper is concerned with a linear-quadratic non-zero sum differential game with asymmetric delayed information. To be specific, two players exist time delays simultaneously which are different, leading the dynamical system being an…

最优化与控制 · 数学 2025-10-27 Yuxin Ye , Jingtao Shi

This paper studies a stochastic utility maximization game under relative performance concerns in finite agent and infinite agent settings, where a continuum of agents interact through a graphon (see definition below). We consider an…

数理金融 · 定量金融 2023-02-22 Ludovic Tangpi , Xuchen Zhou

We develop a theory for continuous-time non-Markovian stochastic control problems which are inherently time-inconsistent. Their distinguishing feature is that the classical Bellman optimality principle no longer holds. Our formulation is…

最优化与控制 · 数学 2021-08-03 Camilo Hernández , Dylan Possamaï

We prove the global existence of an incomplete, continuous-time finite-agent Radner equilibrium in which exponential agents optimize their expected utility over both running consumption and terminal wealth. The market consists of a traded…

数理金融 · 定量金融 2018-09-18 Kim Weston , Gordan Zitkovic

In this paper we present a scalable deep learning framework for finding Markovian Nash Equilibria in multi-agent stochastic games using fictitious play. The motivation is inspired by theoretical analysis of Forward Backward Stochastic…

人工智能 · 计算机科学 2021-05-24 Tianrong Chen , Ziyi Wang , Ioannis Exarchos , Evangelos A. Theodorou

In a Markovian stochastic volatility model, we consider financial agents whose investment criteria are modelled by forward exponential performance processes. The problem of contingent claim indifference valuation is first addressed and a…

投资组合管理 · 定量金融 2016-11-26 Michail Anthropelos

We investigate a portfolio selection problem involving multi competitive agents, each exhibiting mean-variance preferences. Unlike classical models, each agent's utility is determined by their relative wealth compared to the average wealth…

最优化与控制 · 数学 2025-11-10 Guojiang Shao , Zuo Quan Xu , Qi Zhang

The topics treated in this thesis are inherently two-fold. The first part considers the problem of a market maker optimally setting bid/ask quotes over a finite time horizon, to maximize her expected utility. The intensities of the orders…

最优化与控制 · 数学 2020-09-15 Diego Zabaljauregui

We study discrete-time mean-field Markov games with infinite numbers of agents where each agent aims to minimize its ergodic cost. We consider the setting where the agents have identical linear state transitions and quadratic cost…

最优化与控制 · 数学 2019-10-17 Zuyue Fu , Zhuoran Yang , Yongxin Chen , Zhaoran Wang

The modelling of modern power markets requires the representation of the following main features: (i) a stochastic dynamic decision process, with uncertainties related to renewable production and fuel costs, among others; and (ii) a…

最优化与控制 · 数学 2019-10-10 Joaquim Dias Garcia , Raphael Chabar

We consider two market designs for a network of prosumers, trading energy: (i) a centralized design which acts as a benchmark, and (ii) a peer-to-peer market design. High renewable energy penetration requires that the energy market design…

计算机科学与博弈论 · 计算机科学 2020-04-07 Ilia Shilov , Hélène Le Cadre , Ana Busic

This paper investigates the efficiency loss in social cost caused by strategic bidding behavior of individual participants in a supply-demand balancing market, and proposes a mechanism to fully recover equilibrium social optimum via…

最优化与控制 · 数学 2021-06-22 Kaiying Lin , Beibei Wang , Pengcheng You

We consider a multi-player stochastic differential game with linear McKean-Vlasov dynamics and quadratic cost functional depending on the variance and mean of the state and control actions of the players in open-loop form. Finite and…

概率论 · 数学 2018-12-04 Enzo Miller , Huyen Pham

This paper studies a competitive optimal portfolio selection problem in a model where the interest rate, the appreciation rate and volatility rate of the risky asset are all stochastic processes, thus forming a non-Markovian financial…

最优化与控制 · 数学 2024-08-06 Guangchen Wang , Zuo Quan Xu , Panpan Zhang

Central results in economics guarantee the existence of efficient equilibria for various classes of markets. An underlying assumption in early work is that agents are price-takers, i.e., agents honestly report their true demand in response…

计算机科学与博弈论 · 计算机科学 2013-11-06 Moshe Babaioff , Brendan Lucier , Noam Nisan , Renato Paes Leme

We consider a stochastic game with partial, asymmetric and non-classical information, where the agents are trying to acquire as many available opportunities/locks as possible. Agents have access only to local information, the information…

最优化与控制 · 数学 2020-09-07 Vartika Singh , Veeraruna Kavitha

We construct Nash equilibria in feedback form for a class of two-person stochastic games of singular control with absorption, arising from a stylized model for corporate finance. More precisely, the paper focusses on a strategic dynamic…

最优化与控制 · 数学 2025-07-04 Tiziano De Angelis , Fabien Gensbittel , Stéphane Villeneuve