英文标题：
《Facebook drives behavior of passive households in stock markets》
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作者：
Milla Siikanen, K\\k{e}stutis Baltakys, Juho Kanniainen, Ravi Vatrapu,
  Raghava Mukkamala, Abid Hussain
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最新提交年份：
2018
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英文摘要：
  Recent studies using data on social media and stock markets have mainly focused on predicting stock returns. Instead of predicting stock price movements, we examine the relation between Facebook data and investors\' decision making in stock markets with a unique data on investors\' transactions on Nokia. We find that the decisions to buy versus sell are associated with Facebook data especially for passive households and also for nonprofit organizations. At the same time, it seems that more sophisticated investors---financial and insurance institutions---are behaving independently from Facebook activities.
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中文摘要：
最近使用社交媒体和股票市场数据的研究主要集中在预测股票回报上。我们没有预测股价走势，而是通过一个关于投资者在诺基亚上交易的独特数据来研究Facebook数据与投资者在股市决策之间的关系。我们发现，购买与出售的决定与Facebook数据相关，尤其是被动家庭和非营利组织。与此同时，似乎更老练的投资者——金融和保险机构——的行为独立于Facebook的活动。
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分类信息：

一级分类：Quantitative Finance        数量金融学
二级分类：Trading and Market Microstructure        交易与市场微观结构
分类描述：Market microstructure, liquidity, exchange and auction design, automated trading, agent-based modeling and market-making
市场微观结构，流动性，交易和拍卖设计，自动化交易，基于代理的建模和做市
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