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We study the role of imitation within the Minority Game model of market. The players can exchange information locally, which leads to formation of groups which act as if they were single players. Coherent spatial areas of rich and poor…

统计力学 · 物理学 2009-10-31 Frantisek Slanina

We present an experimental and simulated model of a multi-agent stock market driven by a double auction order matching mechanism. Studying the effect of cumulative information on the performance of traders, we find a non monotonic…

物理与社会 · 物理学 2009-11-13 Bence Toth , Enrico Scalas , Juergen Huber , Michael Kirchler

Empirical evidence suggests that even the most competitive markets are not strictly efficient. Price histories can be used to predict near future returns with a probability better than random chance. Many markets can be considered as {\it…

统计力学 · 物理学 2009-10-31 Yi-Cheng Zhang

Generalization of the minority game to more than one market is considered. At each time step every agent chooses one of its strategies and acts on the market related to this strategy. If the payoff function allows for strong fluctuation of…

交易与市场微观结构 · 定量金融 2011-05-12 Karol Wawrzyniak , Wojciech Wislicki

In lowest unique bid auctions, $N$ players bid for an item. The winner is whoever places the \emph{lowest} bid, provided that it is also unique. We use a grand canonical approach to derive an analytical expression for the equilibrium…

计算机科学与博弈论 · 计算机科学 2015-05-28 Simone Pigolotti , Sebastian Bernhardsson , Jeppe Juul , Gorm Galster , Pierpaolo Vivo

We present results on simulations of a stock market with heterogeneous, cumulative information setup. We find a non-monotonic behaviour of traders' returns as a function of their information level. Particularly, the average informed agents…

交易与市场微观结构 · 定量金融 2008-12-02 Bence Toth , Enrico Scalas

In many competitive settings, from education to politics, rules do not reward effort evenly, and thresholds (e.g., grade cutoffs or electoral majorities) make some moments disproportionately important. Success thus depends on efficiently…

计算机科学与博弈论 · 计算机科学 2026-01-23 Masatsugu Yoshizawa , Yuta Kawamoto , Daisuke Takeshita

We study the problem of designing a two-sided market (double auction) to maximize the gains from trade (social welfare) under the constraints of (dominant-strategy) incentive compatibility and budget-balance. Our goal is to do so for an…

计算机科学与博弈论 · 计算机科学 2024-06-21 Moshe Babaioff , Amitai Frey , Noam Nisan

We show that an economic system populated by multiple agents generates an equilibrium distribution in the form of multiple scaling laws of conditional PDFs, which are sufficient for characterizing the probability distribution. The existence…

综合金融 · 定量金融 2010-03-12 Hideaki Aoyama , Yoshi Fujiwara , Mauro Gallegati

We propose a frustrated and disordered many-body model of a stockmarket in which independent adaptive traders can trade a stock subject to the economic law of supply and demand. We show that the typical scaling properties and the correlated…

统计力学 · 物理学 2008-12-02 Fabio Franci , Lorenzo Matassini

In a very simple stock market, made by only two \emph{initially equivalent} traders, we discuss how the information can affect the performance of the traders. More in detail, we first consider how the portfolios of the traders evolve in…

计算金融 · 定量金融 2015-06-18 F. Bagarello , E. Haven

Cooperation between individuals is emergent in all parts of society, yet mechanistic reasons for this emergence is ill understood in the literature. A specific example of this is insurance. Recent work has, though, shown that assuming the…

物理与社会 · 物理学 2024-03-20 Tobias Wand , Oliver Kamps , Benjamin Skjold

We consider a general small-scale market for agent-to-agent resource sharing, in which each agent could either be a server (seller) or a client (buyer) in each time period. In every time period, a server has a certain amount of resources…

计算机科学与博弈论 · 计算机科学 2018-01-01 Bainan Xia , Srinivas Shakkottai , Vijay Subramanian

We introduce and solve a model that mimics the herding effect in financial markets when groups of agents share information. The number of agents in the model is growing and at each time step either (i) with probability $p$ an incoming agent…

无序系统与神经网络 · 物理学 2009-11-07 G. J. Rodgers , Dafang Zheng

In economics, there are many ways to describe the interaction between a "seller" and a "buyer". The most common one, with which we interact almost every day, is selling for a fixed price. This option is perfect for selling a mass product,…

综合金融 · 定量金融 2024-07-10 O. A. Malafeyev , I. E. Khomenko

We use the Minority Game as a testing frame for the problem of the emergence of diversity in socio-economic systems. For the MG with heterogeneous impacts, we show that the direct generalization of the usual agents' profit does not fit some…

交易与市场微观结构 · 定量金融 2014-01-20 Miroslav Pištěk , Frantisek Slanina

Despite recent advancements in machine learning, in practice, relevant datasets are often distributed among market competitors who are reluctant to share. To incentivize data sharing, recent works propose analytics markets, where multiple…

综合经济学 · 经济学 2025-08-05 Thomas Falconer , Jalal Kazempour , Pierre Pinson

Energy forecasting has attracted enormous attention over the last few decades, with novel proposals related to the use of heterogeneous data sources, probabilistic forecasting, online learn-ing, etc. A key aspect that emerged is that…

应用统计 · 统计学 2022-04-05 Pierre Pinson , Liyang Han , Jalal Kazempour

This paper presents karma mechanisms, a novel approach to the repeated allocation of a scarce resource among competing agents over an infinite time. Examples include deciding which ride hailing trip requests to serve during peak demand,…

理论经济学 · 经济学 2023-05-09 Ezzat Elokda , Saverio Bolognani , Andrea Censi , Florian Dörfler , Emilio Frazzoli

A simple model for cooperation between "selfish" agents, which play an extended version of the Prisoner's Dilemma(PD) game, in which they use arbitrary payoffs, is presented and studied. A continuous variable, representing the probability…

凝聚态物理 · 物理学 2009-11-10 H. Fort