英文标题：
《The Accounting Network: how financial institutions react to systemic
  crisis》
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作者：
Andrea Flori, Giuseppe Pappalardo, Michelangelo Puliga, Alessandro
  Chessa, Fabio Pammolli
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最新提交年份：
2016
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英文摘要：
  The role of Network Theory in the study of the financial crisis has been widely spotted in the latest years. It has been shown how the network topology and the dynamics running on top of it can trigger the outbreak of large systemic crisis. Following this methodological perspective we introduce here the Accounting Network, i.e. the network we can extract through vector similarities techniques from companies\' financial statements. We build the Accounting Network on a large database of worldwide banks in the period 2001-2013, covering the onset of the global financial crisis of mid-2007. After a careful data cleaning, we apply a quality check in the construction of the network, introducing a parameter (the Quality Ratio) capable of trading off the size of the sample (coverage) and the representativeness of the financial statements (accuracy). We compute several basic network statistics and check, with the Louvain community detection algorithm, for emerging communities of banks. Remarkably enough sensible regional aggregations show up with the Japanese and the US clusters dominating the community structure, although the presence of a geographically mixed community points to a gradual convergence of banks into similar supranational practices. Finally, a Principal Component Analysis procedure reveals the main economic components that influence communities\' heterogeneity. Even using the most basic vector similarity hypotheses on the composition of the financial statements, the signature of the financial crisis clearly arises across the years around 2008. We finally discuss how the Accounting Networks can be improved to reflect the best practices in the financial statement analysis.
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中文摘要：
近年来，网络理论在金融危机研究中的作用已被广泛发现。已经证明，网络拓扑及其上运行的动态如何触发大规模系统性危机的爆发。根据这种方法论视角，我们在此介绍会计网络，即我们可以通过向量相似性技术从公司财务报表中提取的网络。我们在一个大型数据库上建立了2001年至2013年期间的全球银行会计网络，涵盖2007年中期全球金融危机的爆发。经过仔细的数据清理，我们在网络建设中应用了质量检查，引入了一个参数（质量比），能够权衡样本的大小（覆盖率）和财务报表的代表性（准确性）。我们计算了几个基本的网络统计数据，并使用Louvain社区检测算法对新兴的银行社区进行检查。值得注意的是，日本和美国的集群在社区结构中占据主导地位，尽管地理上混合的社区的存在表明，银行正逐渐趋同于类似的超国家做法。最后，主成分分析程序揭示了影响社区异质性的主要经济成分。即使对财务报表的构成使用最基本的向量相似性假设，金融危机的特征也明显出现在2008年前后的几年中。最后，我们将讨论如何改进会计网络，以反映财务报表分析中的最佳实践。
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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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