英文标题：
《Micro and Macro Benefits of Random Investments in Financial Markets》
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作者：
Alessio Emanuele Biondo, Alessandro Pluchino, Andrea Rapisarda
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最新提交年份：
2014
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英文摘要：
  In this paper, making use of recent statistical physics techniques and models, we address the specific role of randomness in financial markets, both at the micro and the macro level. In particular, we review some recent results obtained about the effectiveness of random strategies of investment, compared with some of the most used trading strategies for forecasting the behavior of real financial indexes. We also push forward our analysis by means of a Self-Organized Criticality model, able to simulate financial avalanches in trading communities with different network topologies, where a Pareto-like power law behavior of wealth spontaneously emerges. In this context, we present new findings and suggestions for policies based on the effects that random strategies can have in terms of reduction of dangerous financial extreme events, i.e. bubbles and crashes.
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中文摘要：
本文利用最新的统计物理技术和模型，从微观和宏观两个层面探讨了随机性在金融市场中的具体作用。特别是，我们回顾了一些最近获得的关于随机投资策略有效性的结果，并与一些最常用的预测真实金融指数行为的交易策略进行了比较。我们还通过自组织临界模型推进我们的分析，该模型能够模拟具有不同网络拓扑的交易社区中的金融雪崩，其中自发出现了类似帕累托的财富幂律行为。在此背景下，我们根据随机策略在减少危险金融极端事件（即泡沫和崩溃）方面可能产生的影响，提出了新的发现和政策建议。
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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：Physics and Society        物理学与社会
分类描述：Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体（人类或其他）的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统（如能源网、运输网络）的物理和工程。
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