机构投资者是股票市场影响实体经济的助推器吗？——基于投资者情绪对公司资本投资的视角

\"资本市场并非有效\",股票市场上投资者情绪对公司的实体投资行为具有重大影响。被监管层寄予厚望的机构投资者从中扮演了什么角色?上述重大影响的助推器抑或制衡器,深层的作用机理又是什么?运用行为公司金融理论,研究发现,公司资本投资决策倾向于遵循机构投资者的\"专家意见\",机构投资者是投资者情绪影响公司资本投资的\"助推器\",\"管理者信心\"是上述助推功能得以发挥的重要渠道。上述研究发现有助于从微观企业的视角,有效识别机构投资者在股票市场影响实体经济中的角色,为监管层在\"后金融危机时代\"制定和执行有关机构投资者的政策提供依据;也有益于公司管理层科学理解机构投资者传递的信息,合理规避决策过程中的\"专家陷阱\"。     

Comparing consumer-produced product reviews across multiple websites with sentiment classification

ABSTRACT

Online consumer reviews have been extensively studied. However, existing literature analyzing online consumer review data mostly relies on a single data source, resulting in potentially biased analytics conclusions. Many websites encourage consumers to post reviews of their purchased products, so that new consumers can evaluate these reviews for the same product across different websites to help them make purchasing decisions. Confusions often arise in this process, because there often exist substantial discrepancies in customer reviews across different retailers on the same product. Clarifying such confusions can help consumers reduce concerns to make up their mind for their purchases, therefore benefiting both consumers and retailers. Through text analytics and sentiment analysis, we comparatively examine the underlying patterns of online consumer reviews of three large retailers including Sears, Home Depot, and Best Buy for a same product. Afterward, we combine online consumer reviews from these large retailers and conduct an overall text analytics and sentiment analysis. The overall results are further compared with the results from individual retailers. The findings show that the sentiment of the online consumer reviews could vary substantially so relying on a single data source to make purchase decision is not a wise idea. Based on the results, we further devise a framework to comparatively examine and integrate multiple data sources for social media analytics of online consumer reviews. This study offers important managerial implications and identifies several new research directions for social media analytics.     

媒体报道、投资者情绪与IPO抑价——来自创业板的证据

以2009年10月创业板开板以来至2011年3月底的所有创业板IPO公司为研究样本,探讨了媒体报道在IPO抑价中的作用。通过测量招股公告日至上市日前一天的媒体报道数量,发现媒体报道与IPO抑价率正相关,并且媒体报道与IPO抑价的关系是以投资者情绪为桥梁的。此外还发现,创业板IPO存在显著的周历效应,周五上市的公司比例高...     

当代青年的社会态度及其启示——基于辽宁省14市1912名青年的调查

调查发现,当代青年关注社会大局,重视道德规范,对政府工作态度评价较高,但其创业意愿较低,对收入分配持负面印象,且认为生活环境欠缺安全。因此,要引导青年认识到社会理想实现过程是前进性与曲折性的辩证运动过程,从青年自治和社会环境重构青年道德体系出发,发挥群团组织在促进青年就业方面的作用,并监测青年舆情,以促进社会和谐发展。     

高校微博话题的情感分析

微博是现在深受欢迎的信息交流平台,其中包括着大量的学生用户。作为对高校学生舆情监控的一个方面,通过数据挖掘的方法对微博话题进行情感分析,在高校掌控学生信息交流状况、预见话题演变趋势等工作上都能够起到很大的作用。     

Revisiting the ICAPM under the distortion of risk–return tradeoff in short-horizon stock returns

We suggest that the distortion of the positive risk–return relation in the ICAPM is a consequence of trading by informed investors to exploit mispricing. We hypothesize and demonstrate that a non-positive (strongly positive) risk–return relation following positive (negative) market returns is attributed to short-selling (purchasing) of overpriced (underpriced) stocks along with optimistic (pessimistic) expectations conditional on good (bad) market news. We verify this asymmetry in the risk–return relation through the indirect risk–return relation conditional on good (bad) market news. We also find that the attenuation (reinforcement) of the positive risk–return relation is more profound in high- (low-) sentiment periods.     

Positive Feedback Trading and Investor Sentiment

This article examines how investor sentiment affects positive feedback trading behavior. By analyzing the daily closing total return of CSI 300 index and its individual returns of stocks, we find that relatively high or low sentiment induces active positive feedback trading. With a specific indicator of sentiment, we explain the microstructure setting of the relationship between positive feedback trading and sentiment. We adopt the classical feedback model from Sentana and Wadhwani (1992) to measure positive feedback trading behavior. By adding sentiment factor to the model, we successfully explain how sentiment influences the behavior of both feedback traders and rational investors. The empirical findings suggest that positive feedback traders are more likely to trade when the prices of most securities move forward together. When the sentiment of feedback traders is at an intermediate level, the feedback trading behavior is insignificant.     

Does local political support influence financial markets? A study on the impact of job approval ratings of political representatives on local stock returns

Using data on job approval ratings of governors, U.S. senators, and the president, we find that firms located in states with high approval ratings outperform firms located in states with low approval ratings by .64% per month. Furthermore, this relationship is stronger when investors are actively involved in politics, when local politicians are closer to the center of political power, for small firms that have a larger proportion of local investors, and for financially strong areas where investors are ready to execute investments in local stocks. Overall, our study shows that investors’ political sentiment is important in determining stock returns.