The network of the Italian stock market during the 2008-2011 financial crises

IF 0.3 Q4 BUSINESS, FINANCE Algorithmic Finance Pub Date : 2017-04-13 DOI:10.3233/AF-160177
Paolo Coletti, Maurizio Murgia
{"title":"The network of the Italian stock market during the 2008-2011 financial crises","authors":"Paolo Coletti, Maurizio Murgia","doi":"10.3233/AF-160177","DOIUrl":null,"url":null,"abstract":"We build the network of the top 190 Italian quoted companies during the two financial crises of 2008-2009 (US credit crisis) and 2010-2011 (European sovereign debt crisis) and compare its structure to the pre-crises years, using both minimum spanning trees and the full network with thresholds. We also analyze the centrality and compactness of industry sectors. We find a general contraction of the network during the crises, both numerically due to stronger correlation as well as topologically, with the appearance of central dominant companies which attract the other ones into a very large cluster, dominated by financial institutions (commercial banks and insurance companies). In particular, we note the role of insurance behemoth Assicurazioni Generali, which rises from a pre-crises subordinate role to become the central company in the minimum spanning tree after the crises period. The few sectors which maintain compactness before and during the crises are utilities, publishing, and construction.","PeriodicalId":42207,"journal":{"name":"Algorithmic Finance","volume":"5 1","pages":"111-137"},"PeriodicalIF":0.3000,"publicationDate":"2017-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/AF-160177","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Algorithmic Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/AF-160177","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 11

Abstract

We build the network of the top 190 Italian quoted companies during the two financial crises of 2008-2009 (US credit crisis) and 2010-2011 (European sovereign debt crisis) and compare its structure to the pre-crises years, using both minimum spanning trees and the full network with thresholds. We also analyze the centrality and compactness of industry sectors. We find a general contraction of the network during the crises, both numerically due to stronger correlation as well as topologically, with the appearance of central dominant companies which attract the other ones into a very large cluster, dominated by financial institutions (commercial banks and insurance companies). In particular, we note the role of insurance behemoth Assicurazioni Generali, which rises from a pre-crises subordinate role to become the central company in the minimum spanning tree after the crises period. The few sectors which maintain compactness before and during the crises are utilities, publishing, and construction.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
2008-2011年金融危机期间的意大利股市网络
我们建立了2008-2009年(美国信贷危机)和2010-2011年(欧洲主权债务危机)两次金融危机期间意大利前190家上市公司的网络,并使用最小生成树和带阈值的完整网络将其结构与危机前几年进行了比较。我们还分析了行业部门的中心性和紧凑性。我们发现,在危机期间,网络普遍收缩,无论是在数量上还是在拓扑上,都是由于更强的相关性,中央主导公司的出现将其他公司吸引到一个由金融机构(商业银行和保险公司)主导的非常大的集群中。特别是,我们注意到保险巨头Assicurazioni Generali的角色,它从危机前的下属角色上升为危机期后最小生成树中的中心公司。在危机之前和危机期间保持紧凑的少数行业是公用事业、出版和建筑业。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Algorithmic Finance
Algorithmic Finance BUSINESS, FINANCE-
CiteScore
0.40
自引率
0.00%
发文量
6
期刊介绍: Algorithmic Finance is both a nascent field of study and a new high-quality academic research journal that seeks to bridge computer science and finance. It covers such applications as: High frequency and algorithmic trading Statistical arbitrage strategies Momentum and other algorithmic portfolio management Machine learning and computational financial intelligence Agent-based finance Complexity and market efficiency Algorithmic analysis of derivatives valuation Behavioral finance and investor heuristics and algorithms Applications of quantum computation to finance News analytics and automated textual analysis.
期刊最新文献
Combining low-volatility and mean-reversion anomalies: Better together? Guidelines for building a realistic algorithmic trading market simulator for backtesting while incorporating market impact Graph embedded dynamic mode decomposition for stock price prediction Interest rate derivatives for the fractional Cox-Ingersoll-Ross model How smart is a momentum strategy? An empirical study of Indian equities
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1