Reuters Sentiment and Stock Returns

Sentiment from more than 3.6 million Reuters news articles is tested in a vector autoregression model framework on its ability to forecast returns of the Dow Jones Industrial Average stock index. We show that Reuters sentiment can explain and predict changes in stock returns better than macroeconomic factors. We further find that negative Reuters sentiment has more predictive power than positive Reuters sentiment. Trading strategies with Reuters sentiment achieve significant outperformance with high success rates as well as high Sharpe ratios.     

通货膨胀与农业股票收益多尺度分析

通货膨胀水平与股票收益率的关系是金融学研究的热点问题之一。文章介绍了小波方法的多尺度分析原理,采用农林指数月度收盘价的对数收益率和消费者价格指数分别代表农业股票收益率和通货膨胀率的水平,得到2007年9月到2012年12月农业股票收益率和通货膨胀率的统计特征。以小波方法分解已知的时间序列,得到不同尺度的数值,利用最小二乘法实证两者之间的关系,得到在中尺度和大尺度的分析周期上,两者具有统计意义上显著地正相关关系,支持了费雪效应假说。而在短尺度分析周期上,两者又具有统计意义上的负相关性,出现了费雪效应悖论。     

Investor Attention and Global Stock Returns

The author constructs a direct measure of investor attention toward global benchmark indices using Google search volume and empirically examines its impact on stock returns. The author documents a significant decrease in index returns following an increase in investor attention. This result is consistent with the investor recognition hypothesis (Merton [1987 Merton, R. “A Simple Model of Capital Market Equilibrium with Incomplete Information.” Journal of Finance, 42, (1987), pp. 483–510.[Crossref], [Web of Science ®] , [Google Scholar]]) and the finding of no-media premium in the United States (Fang and Peress [2009 Fang, L., and J. Peress. “Media Coverage and the Cross-section of Stock Returns.” Journal of Finance 64, (2009), pp. 2023–2052.[Crossref], [Web of Science ®] , [Google Scholar]]). Additional tests suggest that the attention effect may be attributable to local and U.S. investors. Finally, such negative effect of attention is found to be strengthened (weaken) in the market with positive (negative) sentiments.     

非同步交易下股指期货与股票市场开收盘收益率间引导关系的实证研究

运用Granger因果检验、脉冲响应函数分析和方差分解,基于819组5分钟高频数据,对沪深300股指期货及其股票指数的开盘价格、收盘价格之间的引导关系进行检验。结果表明:期货市场与股票市场的开盘收益率相互引导;期货市场收盘收益率引导现货市场的收盘收益率和第二天开盘收益率;期货市场受自身和现货市场新息的冲击;现货市场受自身新息的冲击较大;期货市场对现货市场新息的变动更敏感;期货与现货的开盘收益率变化的总方差主要来自于现货市场,期货与现货的收盘收益率变化的总方差主要来自于期货市场。     

Estimation of Asymmetric Stochastic Volatility Models for Stock-Exchange Index Returns

The objective of this paper is to put forward a new autoregressive asymmetric stochastic volatility model for modeling volatility and to compare results obtained for this model with an autoregressive stochastic model and another asymmetric volatility model, such as, asymmetric generalized autoregressive conditional heteroskedasticity model. The results obtained from the estimation by maximum likelihood have shown the volatility behavior is asymmetric in the majority of cases. This fact is better shown by the ARSVA model, than the rest of alternative models. Moreover, the ARSVA model is able to reproduce other stylized facts of such series, such as high kurtosis, no autocorrelation of returns, slow decreasing of the autocorrelation function of the squared returns and high persistence.

New Evidence of Psychological Barrier from the Oil Market

The authors examine how stock returns were affected when the oil price reached the psychological barrier of US$100 per barrel for the first time in history. Using an event study approach, 4 key results emerge. First, the authors show that a psychological barrier event in the oil market does affect stock returns. Second, they show that a psychological barrier event in the oil market is a source of return drift—a phenomenon well explained and understood with respect to nonoil news events. Third, the psychological barrier affects small/medium-sized stocks and not large stocks. Last, the authors show that successful trading strategies can be devised based on the information that the oil price psychological barrier significantly impacts the market and that it contributes to return drift.     

Effect of Macro Factor Volatility on the Returns of Financial Sector in Southeast Asian Stock Markets

The emphasis of this study is on the practice of the Pooled Mean Group （PMG） estimators to investigate the magnitude of macroeconomic performances： Real Gross Domestic Product （RGDP）, Foreign Exchange Rate （EX）, and Deposit Interest Rate （DINT） affecting on the rate of financial sector returns in Southeast Asian Stock Markets including Stock Exchange Of Thailand （SET） index （Thailand）, the Kuala Lumpur Composite Index （KLSE） index （Malaysia）, Financial Times Share Index （FTSI） （Singapore）, Philippine Stock Exchange （PSE）, and the Jakarta Composite Index （JKSE） （Indonesia）. The Panel Autoregressive Distributed Lag （Panel ARDL） is applied to model the relations. The study applies the Levin, Lin, and Chu （LLC） test （2002） and Im, Pesaran, and Shin （IPS） test （2003） to investigates a set of time series data to examine whether the determinants and the rate of financial sector returns contain a unit root, the next step is investigated the cointegration and causality relationship of the determinants of financial sector influencing on long-run rate of returns of financial sector in Southeast Asian Stock Markets.     

Stock market booms and real economic activity: Is this time different?

Since World War II, the United States has experienced two large booms on the stock market. During the first boom, which lasted from the late 1940s to the mid-1960s, stock returns were clearly leading real activity. Moreover, the evidence also suggests the existence of predictable return variations in the discount rate through time as a response to changing business conditions. Therefore, the first boom does not stand out as unusual because previous studies, such as Fama (1990) or Chen (1991), confirm these results for the whole period from the 1950s to the 1980s. But during the current boom, which started in the early 1980s, these results do not hold up any more. Stock returns do not seem to lead real activity and predictable return variations as a response to business conditions cannot be detected.     

中国股市收益、收益波动与投资者情绪

本文从我国股市的现实情况出发 ,构造理论模型证明 :投资者接受价格信号时表现出来的情绪是影响均衡价格的系统性因子。这一结论得到实际数据的支持 ,实证发现投资者情绪的变化不仅显著地影响沪深两市收益 ,而且显著地反向修正沪深两市收益波动 ,并通过风险奖励影响收益。研究结果表明 ,沪深两市不仅具有相同的投资者行为和风险收益特征 ,而且均未达到弱式有效 ,机构投资者是可能的噪声交易者风险源。     

股票市场收益跳跃性风险研究

中国股市是一个“政策市”,政策因素是造成我国股票市场收益（价格）跳跃性行为的最重要的原因。首先,本文深入而系统地阐述了股票收益（价格）发生跳跃性行为的经济机制,并将跳跃风险从总体风险中分离出来;然后描述了跳跃性风险的测度方法、跳跃性风险的定价及其对于风险管理的影响,以便能够为投资者和政府决策者提供一些有益的理论支撑,     

消费者信心指数与股票市场收益的实证研究

基于行为金融学的视角，研究消费者信心和股票市场收益的互动关系，结果发现消费者信心指数与殷市收益具有较强的相关性。利用脉）辛响应和方差分解分析消费者信心与股市收益之间的互动关系，结果表明，消费者信心指数能预测一部分收益，股市收益与消费者信心指数间的冲击具有不对称性。     

Stock return predictability: the role of inflation and threshold dynamics

This paper argues that the nature of stock return predictability varies with the level of inflation. We contend that the nature of relations between economic variables and returns differs according to the level of inflation, due to different economic risk implications. An increase in low level inflation may signal improving economic conditions and lower expected returns, while the opposite is true with an equal rise in high level inflation. Linear estimation provides contradictory coefficient values, which we argue arises from mixing coefficient values across regimes. We test for and estimate threshold models with inflation and the term structure as the threshold variable. These models reveal a change in either the sign or magnitude of the parameter values across the regimes such that the relation between stock returns and economic variables is not constant. Measures of in-sample fit and a forecast exercise support the threshold models. They produce a higher adjusted R², lower MAE and RMSE and higher trading related measures. These results help explain the lack of consistent empirical evidence in favour of stock return predictability and should be of interest to those engaged in stock market modelling as well as trading and portfolio management.     

房地产市场对股票市场波动的响应机制研究

借助余弦相似度概念,定义并创设了房地产市场景气度评价变量,据此在短期条件下基于消费者均衡理论,依据斯卢茨基方程测度了各商品支出对股票投资收益率变动的收入效应和替代效应,从而揭示了房地产市场对股票收益率变动的响应过程及其关键因素。研究发现,短期条件下,当股票投资收益率提高时,资金在房地产市场与股票市场间的流动受限,投机性房地产支出变动只有收入效应,无替代效应,导致短期房地产市场偏离长期均衡状态;当投机性房地产需求收入弹性高于临界值时,房地产市场对股票市场波动呈现正响应,且投机性房地产需求收入弹性和银行储蓄率越高正响应越强,由此印证了我国股票市场和房地产市场的强关联性。     

Changes in Investors' Market Attention and Near-Term Stock Market Returns

We use Google Search volume to track changes investors' positive and negative market attention. Our results support the hypothesis that this information reflects investors' optimistic and pessimistic anticipation and can be used to predict near-term future returns. We find that changes in negative search term volume of “market crash” and “bear market” and changes in positive search term volume “market rally” explain near-term stock returns. Changes in investors' attention are partly related to past stock market returns, implying that investors are prone to pay attention to possible price reversals. These measures of market attention are potential gauges of investor sentiment.     

From Returns to Tweets and Back: An Investigation of the Stocks in the Dow Jones Industrial Average

A sizeable percentage of investors are using social media to obtain information about companies (Cogent Research [2008]). As a consequence, social media content about firms may have an impact on stock prices (Hachman [2011]). Various studies utilize social media content to forecast stock market-related factors such as returns, volatility, or trading volume. The objective of this article is to investigate whether a bidirectional intraday relationship between stock returns and volatility and tweets exists. The study analyzed 150,180 minute-by-minute stock price and tweet data for the 30 stocks in the Dow Jones Industrial Average over a random 13-day interval from June 2 to June 18, 2014 using a BEKK-MVGARCH methodology. Findings indicate that 87% of stock returns are influenced by lagged innovations of the tweets data, but there is little evidence to support that the direction is reciprocal, with only 7% of tweets being influenced by lagged innovations of the stock returns. Results further show that the lagged innovations from 40 percent of stock returns affect the current conditional volatility of the tweets, while 73 percent of tweets affect the current conditional volatility of stock returns. Moreover, there is strong evidence to suggest that the volatility originating from the returns to the tweets persists for 33 percent of stocks; the volatility originating from the tweets to the returns persists for 73 percent of stocks. Last, 53 percent of stocks exhibit both immediate and persistent impacts from returns to tweets, while 90 percent of stocks exhibit both immediate and persistent impacts from tweets to returns. These results may help traders achieve superior returns by buying and selling individual stocks or options. Also, asset and mutual fund managers may benefit by developing a social media strategy.     

股利政策稳定性对股票长期收益影响的实证研究

本文以1997—2007年中国A股市场上分红次数多于5次的股票为样本,以分红波动分组,采用日历时间回归方法研究了股利政策稳定性对股票长期收益的影响。为了更好地比较股利政策的影响,修正了Fama-French三因子模型。通过实证研究发现:分红股票相对于不分红股票存在超额收益,高股利股票较低股利股票有较高的超额收益。据此提出如下建议:监管机构应出台更为有效的政策来引导和管理上市公司进行股利分配,使股利支付趋于稳定,从而引导投资者理性投资。     

X效率与股东回报：基于上市商业银行的实证分析

以我国16家上市商业银行为例,探寻银行X效率对股东回报的作用机理。研究发现：提升我国商业银行的X效率能够有效改善股东回报能力;与技术进步相比,技术效率改进能够更有力地解释股东回报变化;技术效率的正向作用主要以纯技术效率为传导渠道,而与规模效率关系不大。简言之,推动技术进步与纯技术效率改进是提高我国商业银行股东回报,进而提升自身竞争力的关键所在。     

Nonlinear dynamics: Evidence for a small stock exchange

This paper models the main stock index of the Vienna Stock Exchange with daily data from 1986 to 1992. We find that returns are nonnormal and show linear and nonliner dependence. On that basis we compare the fit of alternative specifications of Generalized Autoregressive Conditional Heteroscedasticity (GARCH) to the Markov-Switching approach. The models are evaluated with diagnostic tests on the standardized residuals. We consider evidence for deterministic structures and for infinite variance. Our main result is that a parsimonious model from the GARCH – class can generate the statistical properties of daily returns. The behavior of the two types of models with respect to temporal aggregation is found to differ significantly. First version received: January 1996/Final version received: December 1997     

后金融危机时代股票超额收益率影响因素的探索

运用判别分析法和决策树模型对上证180的成分股是否可以获得超额收益率及其影响因素进行了分析,并将两种方法的分析结果进行了对比。结果表明：两种方法都可以对上市公司是否可以获得超额收益进行分辨,并且可以找出影响因素。但是从两种模型的结果来看,决策树模型要明显优于判别分析法。从我们的分析样本来看,对企业是否可以获得超额收益率的影响因素主要有：市盈率、市净率、息税折旧摊销前利润/营业总收入等。在实际中,通过这两种方法,投资者可以寻找出那些具有超额收益率的股票进行投资,从而使得自身的投资结果优于大盘。     

Information Transmission Through Rumors in Stock Markets: A New Evidence

The authors provide new evidence of the influence of false rumors based on Taiwan's stock market. The results indicate significant patterns of abnormal returns and trading volumes surrounding the event day and that the rumors seem to be disseminated in the stock market before appearing in newspapers. The results also indicate asymmetry: Investors hearing a positive rumor about a stock may tend to buy the stock, prompting a price run-up until the rumor dies away, while negative rumors usually have greater and longer negative impacts on stock returns than positive rumors do. The presence of a daily price limit is negatively correlated to the size of abnormal returns and abnormal trading volumes on the event day, and the abnormal trading volumes are more sensitive to the price limit surrounding the event day. Finally, firm managers might receive rumor information earlier and then conduct stock trading before the rumor's announcement.