• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

金融新闻的凝聚力及其与市场波动的关系。

Cohesiveness in financial news and its relation to market volatility.

机构信息

Laboratory for Information Systems, Division of Electronics, Ruđer Bošković Institute, Croatia.

Department of Knowledge Technologies, Jožef Stefan Institute, Slovenia.

出版信息

Sci Rep. 2014 May 22;4:5038. doi: 10.1038/srep05038.

DOI:10.1038/srep05038
PMID:24849598
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4030282/
Abstract

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 regarding the influence of financial news on financial markets. We propose a novel measure of collective behaviour based on financial news on the Web, the News Cohesiveness Index (NCI), and we demonstrate that the index can be used as a financial market volatility indicator. We evaluate the NCI using 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 finance-related news. We hypothesise that strong cohesion in financial news reflects movements in the financial markets. Our results indicate that cohesiveness in financial news is highly correlated with and driven by volatility in financial markets.

摘要

受近期金融危机的启发,人们投入了大量的研究努力来研究金融市场中的传染效应和羊群行为。然而,关于金融新闻对金融市场的影响,人们却很少提及。我们提出了一种基于网络金融新闻的新的集体行为度量方法,即新闻凝聚指数(NCI),并证明该指数可以用作金融市场波动的指标。我们使用 2011 年 10 月至 2013 年 7 月期间来自大型网络新闻源的金融文档,每天评估 NCI,并分析金融市场与金融相关新闻之间的相互作用。我们假设金融新闻中的强凝聚力反映了金融市场的波动。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高度相关,并受其驱动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90f7/4030282/bb8bdb8509a9/srep05038-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90f7/4030282/ef1972bb7d63/srep05038-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90f7/4030282/a681785ce759/srep05038-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90f7/4030282/9b130eeddb16/srep05038-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90f7/4030282/cc0feef6f51c/srep05038-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90f7/4030282/3864cb284a19/srep05038-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90f7/4030282/bb8bdb8509a9/srep05038-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90f7/4030282/ef1972bb7d63/srep05038-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90f7/4030282/a681785ce759/srep05038-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90f7/4030282/9b130eeddb16/srep05038-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90f7/4030282/cc0feef6f51c/srep05038-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90f7/4030282/3864cb284a19/srep05038-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90f7/4030282/bb8bdb8509a9/srep05038-f6.jpg

相似文献

1
Cohesiveness in financial news and its relation to market volatility.金融新闻的凝聚力及其与市场波动的关系。
Sci Rep. 2014 May 22;4:5038. doi: 10.1038/srep05038.
2
Emerging stock market volatility and economic fundamentals: the importance of US uncertainty spillovers, financial and health crises.新兴股票市场波动与经济基本面:美国不确定性溢出、金融与健康危机的重要性
Ann Oper Res. 2022;313(2):1077-1116. doi: 10.1007/s10479-021-04042-y. Epub 2021 Apr 21.
3
On the impact of publicly available news and information transfer to financial markets.关于公开新闻和信息传递对金融市场的影响。
R Soc Open Sci. 2021 Jul 28;8(7):202321. doi: 10.1098/rsos.202321. eCollection 2021 Jul.
4
Being on the field when the game is still under way. The financial press and stock markets in times of crisis.置身于比赛仍在进行的现场。金融媒体和危机时期的股票市场。
PLoS One. 2013 Jul 5;8(7):e67721. doi: 10.1371/journal.pone.0067721. Print 2013.
5
Decrypting Financial Markets through E-Joint Attention Efforts: On-Line Adaptive Networks of Investors in Periods of Market Uncertainty.通过电子共同关注努力解密金融市场:市场不确定性时期投资者的在线自适应网络
PLoS One. 2015 Aug 5;10(8):e0133712. doi: 10.1371/journal.pone.0133712. eCollection 2015.
6
Financial earthquakes: SARS-CoV-2 news shock propagation in stock and sovereign bond markets.金融地震:新冠病毒新闻在股票和主权债券市场中的冲击传播
Physica A. 2021 Nov 15;582:126240. doi: 10.1016/j.physa.2021.126240. Epub 2021 Jul 7.
7
Quantifying the relationship between financial news and the stock market.量化金融新闻与股票市场之间的关系。
Sci Rep. 2013 Dec 20;3:3578. doi: 10.1038/srep03578.
8
Financial uncertainty and interest rate movements: is Asian bond market volatility different?金融不确定性与利率变动:亚洲债券市场的波动性是否不同?
Ann Oper Res. 2021 Nov 1:1-29. doi: 10.1007/s10479-021-04314-7.
9
Herding behaviour in energy stock markets during the Global Financial Crisis, SARS, and ongoing COVID-19.全球金融危机、非典疫情和当前新冠疫情期间能源股票市场的羊群行为。
Renew Sustain Energy Rev. 2020 Dec;134:110349. doi: 10.1016/j.rser.2020.110349. Epub 2020 Sep 29.
10
Assessing systemic risk in financial markets using dynamic topic networks.利用动态主题网络评估金融市场中的系统性风险。
Sci Rep. 2022 Feb 17;12(1):2668. doi: 10.1038/s41598-022-06399-x.

引用本文的文献

1
Measuring information flux between social media and stock prices with Transfer Entropy.使用转移熵衡量社交媒体和股票价格之间的信息流。
PLoS One. 2021 Sep 23;16(9):e0257686. doi: 10.1371/journal.pone.0257686. eCollection 2021.
2
On the impact of publicly available news and information transfer to financial markets.关于公开新闻和信息传递对金融市场的影响。
R Soc Open Sci. 2021 Jul 28;8(7):202321. doi: 10.1098/rsos.202321. eCollection 2021 Jul.
3
Fluctuation-driven price dynamics and investment strategies.波动驱动的价格动态与投资策略。

本文引用的文献

1
Anticipating Economic Market Crises Using Measures of Collective Panic.利用集体恐慌指标预测经济市场危机
PLoS One. 2015 Jul 17;10(7):e0131871. doi: 10.1371/journal.pone.0131871. eCollection 2015.
2
Being on the field when the game is still under way. The financial press and stock markets in times of crisis.置身于比赛仍在进行的现场。金融媒体和危机时期的股票市场。
PLoS One. 2013 Jul 5;8(7):e67721. doi: 10.1371/journal.pone.0067721. Print 2013.
3
Information dissipation as an early-warning signal for the Lehman Brothers collapse in financial time series.
PLoS One. 2017 Dec 14;12(12):e0189274. doi: 10.1371/journal.pone.0189274. eCollection 2017.
4
Quantifying the effect of investors' attention on stock market.量化投资者注意力对股票市场的影响。
PLoS One. 2017 May 23;12(5):e0176836. doi: 10.1371/journal.pone.0176836. eCollection 2017.
5
Market Imitation and Win-Stay Lose-Shift Strategies Emerge as Unintended Patterns in Market Direction Guesses.市场模仿和赢则留输则变策略成为市场方向猜测中意想不到的模式。
PLoS One. 2016 Aug 17;11(8):e0159078. doi: 10.1371/journal.pone.0159078. eCollection 2016.
6
The Effects of Twitter Sentiment on Stock Price Returns.推特情绪对股票价格回报的影响。
PLoS One. 2015 Sep 21;10(9):e0138441. doi: 10.1371/journal.pone.0138441. eCollection 2015.
7
Collective attention and stock prices: evidence from Google Trends data on Standard and Poor's 100.集体注意力与股票价格:来自谷歌趋势关于标准普尔100指数数据的证据
PLoS One. 2015 Aug 10;10(8):e0135311. doi: 10.1371/journal.pone.0135311. eCollection 2015.
信息耗散作为金融时间序列中雷曼兄弟倒闭的早期预警信号。
Sci Rep. 2013;3:1898. doi: 10.1038/srep01898.
4
Quantifying trading behavior in financial markets using Google Trends.使用谷歌趋势量化金融市场中的交易行为。
Sci Rep. 2013;3:1684. doi: 10.1038/srep01684.
5
Cascading failures in bi-partite graphs: model for systemic risk propagation.双分支图中的级联失效:系统风险传播模型。
Sci Rep. 2013;3:1219. doi: 10.1038/srep01219. Epub 2013 Feb 5.
6
Changes in cross-correlations as an indicator for systemic risk.交叉相关性变化作为系统性风险指标。
Sci Rep. 2012;2:888. doi: 10.1038/srep00888. Epub 2012 Nov 26.
7
DebtRank: too central to fail? Financial networks, the FED and systemic risk.债务评级:大而不倒?金融网络、美联储与系统性风险。
Sci Rep. 2012;2:541. doi: 10.1038/srep00541. Epub 2012 Aug 2.
8
Web search queries can predict stock market volumes.网页搜索查询可以预测股票市场成交量。
PLoS One. 2012;7(7):e40014. doi: 10.1371/journal.pone.0040014. Epub 2012 Jul 19.
9
Quantifying the advantage of looking forward.量化前瞻的优势。
Sci Rep. 2012;2:350. doi: 10.1038/srep00350. Epub 2012 Apr 5.
10
Index cohesive force analysis reveals that the US market became prone to systemic collapses since 2002.指数黏合力度分析表明,自 2002 年以来,美国市场变得容易发生系统性崩溃。
PLoS One. 2011 Apr 27;6(4):e19378. doi: 10.1371/journal.pone.0019378.