摘要翻译：
本章回顾了自20世纪90年代末以来在经济物理学文献中发展起来的货币概率分布的统计模型。在这些模型中，经济交易被建模为代理人之间为支付商品和服务而进行的随机资金转移。从最初的货币平等分配开始，系统自发地发展出一种高度不平等的货币分配，类似于物理学中的玻尔兹曼-吉布斯能量分布。边界条件是实现平稳分布的关键。当债务被允许时，它会破坏系统的稳定，除非对最大债务施加某种限制。
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英文标题：
《Statistical mechanics approach to the probability distribution of money》
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作者：
Victor M. Yakovenko
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最新提交年份：
2010
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分类信息：

一级分类：Quantitative Finance        数量金融学
二级分类：Statistical Finance        统计金融
分类描述：Statistical, econometric and econophysics analyses with applications to financial markets and economic data
统计、计量经济学和经济物理学分析及其在金融市场和经济数据中的应用
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英文摘要：
  This Chapter reviews statistical models for the probability distribution of money developed in the econophysics literature since the late 1990s. In these models, economic transactions are modeled as random transfers of money between the agents in payment for goods and services. Starting from the initially equal distribution of money, the system spontaneously develops a highly unequal distribution of money analogous to the Boltzmann-Gibbs distribution of energy in physics. Boundary conditions are crucial for achieving a stationary distribution. When debt is permitted, it destabilizes the system, unless some sort of limit is imposed on maximal debt.
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PDF链接：
https://arxiv.org/pdf/1007.5074