英文标题：
《News Cohesiveness: an Indicator of Systemic Risk in Financial Markets》
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作者：
Matija Pi\\v{s}korec, Nino Antulov-Fantulin, Petra Kralj Novak, Igor
  Mozeti\\v{c}, Miha Gr\\v{c}ar, Irena Vodenska, Tomislav \\v{S}muc
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最新提交年份：
2014
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英文摘要：
  Motivated by recent financial crises significant research efforts have been put into studying contagion effects and herding behaviour in financial markets. Much less has been said about influence of financial news on financial markets. We propose a novel measure of collective behaviour in financial news on the Web, News Cohesiveness Index (NCI), and show that it can be used as a systemic risk indicator. We evaluate the NCI on financial documents from large Web news sources on a daily basis from October 2011 to July 2013 and analyse the interplay between financial markets and financially related news. We hypothesized that strong cohesion in financial news reflects movements in the financial markets. Cohesiveness is more general and robust measure of systemic risk expressed in news, than measures based on simple occurrences of specific terms. Our results indicate that cohesiveness in the financial news is highly correlated with and driven by volatility on the financial markets.
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中文摘要：
受最近的金融危机的推动，人们在研究金融市场的传染效应和羊群行为方面投入了大量研究工作。关于金融新闻对金融市场的影响，人们谈论得更少。我们提出了一种新的衡量网络财经新闻集体行为的指标，即新闻凝聚力指数（NCI），并表明它可以作为一种系统性风险指标。从2011年10月到2013年7月，我们每天对大型网络新闻来源的金融文件进行NCI评估，并分析金融市场和金融相关新闻之间的相互作用。我们假设，金融新闻中的强大凝聚力反映了金融市场的动向。内聚性是对新闻中所表达的系统性风险的更普遍、更稳健的衡量标准，而不是基于特定术语的简单出现的衡量标准。我们的研究结果表明，金融新闻的凝聚力与金融市场的波动性高度相关，并受其驱动。
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Social and Information Networks        社会和信息网络
分类描述：Covers the design, analysis, and modeling of social and information networks, including their applications for on-line information access, communication, and interaction, and their roles as datasets in the exploration of questions in these and other domains, including connections to the social and biological sciences. Analysis and modeling of such networks includes topics in ACM Subject classes F.2, G.2, G.3, H.2, and I.2; applications in computing include topics in H.3, H.4, and H.5; and applications at the interface of computing and other disciplines include topics in J.1--J.7. Papers on computer communication systems and network protocols (e.g. TCP/IP) are generally a closer fit to the Networking and Internet Architecture (cs.NI) category.
涵盖社会和信息网络的设计、分析和建模，包括它们在联机信息访问、通信和交互方面的应用，以及它们作为数据集在这些领域和其他领域的问题探索中的作用，包括与社会和生物科学的联系。这类网络的分析和建模包括ACM学科类F.2、G.2、G.3、H.2和I.2的主题；计算应用包括H.3、H.4和H.5中的主题；计算和其他学科接口的应用程序包括J.1-J.7中的主题。关于计算机通信系统和网络协议（例如TCP/IP）的论文通常更适合网络和因特网体系结构（CS.NI）类别。
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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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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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