英文标题：
《Hint of a Universal Law for the Financial Gains of Competitive Sport
  Teams. The case of Tour de France cycle race》
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作者：
Marcel Ausloos
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最新提交年份：
2017
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英文摘要：
  This short note is intended as a \"Letter to the Editor\" Perspective in order that it serves as a contribution, in view of reaching the physics community caring about rare events and scaling laws and unexpected findings, on a domain of wide interest: sport and money. It is apparent from the data reported and discussed below that the scarcity of such data does not allow to recommend a complex elaboration of an agent based model, - at this time. In some sense, this also means that much data on sport activities is not necessarily given in terms of physics prone materials, but it could be, and would then attract much attention. Nevertheless the findings tie the data to well known scaling laws and physics processes. It is found that a simple scaling law describes the gains of teams in recent bicycle races, like the Tour de France. An analogous case, ranking teams in Formula 1 races, is shown in an Appendix
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中文摘要：
这篇短文旨在从“写给编辑的信”的角度出发，以期在体育和金钱这一广泛关注的领域，为物理学界关注罕见事件、标度律和意外发现做出贡献。从下面报告和讨论的数据中可以明显看出，由于缺乏此类数据，目前无法建议对基于代理的模型进行复杂的阐述。从某种意义上说，这也意味着，体育活动的许多数据不一定是以物理倾向性材料的形式给出的，但它可能是，然后会吸引很多注意力。然而，这些发现将这些数据与众所周知的标度定律和物理过程联系在一起。研究发现，一个简单的比例定律描述了最近自行车比赛（如环法自行车赛）中车队的收益。附录中显示了一个类似的案例，即F1比赛中的车队排名
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分类信息：

一级分类：Quantitative Finance        数量金融学
二级分类：General Finance        一般财务
分类描述：Development of general quantitative methodologies with applications in finance
通用定量方法的发展及其在金融中的应用
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一级分类：Physics        物理学
二级分类：Adaptation and Self-Organizing Systems        自适应和自组织系统
分类描述：Adaptation, self-organizing systems, statistical physics, fluctuating systems, stochastic processes, interacting particle systems, machine learning
自适应，自组织系统，统计物理，波动系统，随机过程，相互作用粒子系统，机器学习
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