Tweets and Trades: the Information Content of Stock Microblogs

Microblogging forums (e.g., Twitter) have become a vibrant online platform for exchanging stock‐related information. Using methods from computational linguistics, we analyse roughly 250,000 stock‐related messages (so‐called tweets) on a daily basis. We find an association between tweet sentiment and stock returns, message volume and trading volume, as well as disagreement and volatility. In contrast to previous related research, we also analyse the mechanism leading to an efficient aggregation of information in microblogging forums. Our results demonstrate that users providing above average investment advice are retweeted (i.e., quoted) more often and have more followers, which amplifies their share of voice.     

Corporate Governance and the Information Content of Insider Trades

Most corporate governance research focuses on the behavior of chief executive officers, board members, institutional shareholders, and other similar parties. Little research focuses on the impact of executives whose primary responsibility is to enforce and shape corporate governance inside the firm. This study examines the role of the general counsel (GC) in mitigating informed trading by corporate insiders. We find that insider trading profits and the predictive ability of insider trades for future operating performance are generally higher when insiders trade within firm‐imposed restricted trade windows. However, when GC approval is required to execute a trade, insiders’ trading profits and the predictive ability of insider trades for future operating performance are substantively lower. Thus, when given the authority, it appears the GC can effectively limit the extent to which corporate insiders use their private information to extract rents from shareholders.     

The Information Content of Multiple Stock Splits

We examine the relationship between the frequency of stock splits and firms' motives for splitting their stock. Compared to their peers, infrequent splitters show higher post‐split operating performance, but not so for frequent splitters. We find that split ratio and liquidity change explain the stock split announcement effect for the frequent splitters. In contrast, the change in operating performance in the split year explains the announcement effect for the infrequent splitters. Our results suggest that frequent splits are more consistent with the trading range‐improved/liquidity hypothesis and infrequent splits are more consistent with the signaling hypothesis.     

The Behavior of Stock Prices Around Institutional Trades

All trades executed by 37 large investment management firms from July 1986 to December 1988 are used to study the price impact and execution cost of the entire sequence (“package”) of trades that we interpret as an order. We find that market impact and trading cost are related to firm capitalization, relative package size, and, most importantly, to the identity of the management firm behind the trade. Money managers with high demands for immediacy tend to be associated with larger market impact.     

所有权结构、产品市场竞争与股价信息含量

股价信息含量的决定因素研究是目前资本市场领域实证研究的热点问题,本文以2001—2007年间深沪证券交易所上市的制造业公司为研究样本,实证分析了产品市场竞争、所有权结构对股价信息含量的影响。结果表明,有效的产品市场竞争和合理的所有权结构能够提升公司的股价信息含量。而在不同的所有权结构下,产品市场竞争对公司股价信息含量的影响无显著差异。这一研究结论意味着,在中国资本市场公司治理整体上存在着诸多问题,在相应改革进展缓慢这一既定的前提下,虽然市场竞争和所有权结构之间存在互补的关系,市场竞争可以在一定程度上起到约束大股东和管理层的作用,但所有权结构对市场竞争发挥作用的强有力的补充作用没有发挥出来。     

股吧评论、分析师跟踪与股价崩溃风险——关于模糊信息的信息含量分析

东方财富股吧等股票论坛日渐活跃,反映了投资者对获得上市公司真实、完整、及时信息的强烈需求。尽管股吧有助于促进信息传播,但仍是非正式的信息发布平台,股吧评论本质上是一种模糊信息。为探明股吧评论的信息含量,本文以2012—2017年A股上市公司为研究样本,研究股吧评论对股价崩溃风险的影响,以及同样属于模糊信息的分析师跟踪在这一过程中可能产生的作用。实证结果表明,股吧评论分歧越小,股价崩溃风险越大,并且分析师跟踪人数和研报数量在上述影响过程中发挥中介作用。研究结果有助于厘清股吧评论影响股价崩溃风险的路径和机理,既丰富了股价崩溃风险成因的研究,也揭示了股吧评论、分析师跟踪等模糊信息的信息含量。     

Asymmetry in Stock Returns Following Block Trades on the Australian Stock Exchange: A Note

A number of recent US. studies have examined the price impact of large (block) trades using intraday data. A major finding is that the price movement following block trades continues upwards following purchases but reverses following sales. This asymmetry in price behaviour, which suggests that block sellers pay a liquidity premium while block buyers do not, has been described as 'intriguing' and a 'key puzzle'. The purpose of this note is to determine whether the phenomenon exists on the Australian Stock Exchange. Evidence consistent with the 'puzzling' asymmetry is shown to exist when returns are measured from the block trade until the close of trade. Contrary to US. findings, which have shown that prices appear to reverse following both block purchases and sales in transaction time analysis, the asymmetry in price behaviour is also demonstrated to exist in transaction returns for the ASX. All results are found to be robust to a number of research design innovations and data partitions.     

中国股票市场限价指令簿的信息含量研究

金融市场微观结构是当前金融研究中发展迅速的研究领域。随着电子撮合交易制度的发展,从限价指令簿的角度揭示金融资产的价格行为,对市场规则和交易机制的完善有重要的意义。本文选取2009年9月上证180指数所包含的180只个股的高频交易数据为研究对象,实证检验了限价指令簿的信息含量。研究发现限价指令簿是富含信息的,即使是最优买卖报价外的指令信息对于价格发现的贡献也高达53%。我们还实证研究了限价指令簿与股票未来短期回报之间的关系,得到限价指令簿信息能够帮助投资者预测股票未来短期回报和有助于提高投资者福利的结论。     

Insider Trades and Private Information: The Special Case of Delayed-Disclosure Trades

In certain circumstances, insider trades such as private transactionsbetween executives and their firms could be disclosed afterthe end of the firm's fiscal year, on a Form-5 filing. We findthat insider sales disclosed in such a delayed manner for largefirms are predictive of negative future returns (–6 to–8 percent), as well as lower future annual earnings relativeto analyst forecasts. These results stand in contrast to existingfindings on the uninformativeness of quickly disclosed open-marketinsider sales. The Sarbanes-Oxley Act curtailed the use of Form5 under the presumption that managers used this vehicle opportunistically.Our systematic evidence supports this presumption.     

Odd Lot Trades: The Behavior,Characteristics, and Information Content,Over Time

I investigate the role odd lot trades play in equity markets, and how this role changes over four periods: 2005, 2007, 2010, and 2012. In each of these years, I examine the determinants, price contribution, and characteristics of odd lot trading. I find that odd lot proportions are increasing, but the determinants of the proportions remain consistent. I find that odd lot transactions contribute to price formation, this contribution is in excess of the odd lot proportion of volume, and is increasing over time. An intraweek pattern of odd lot trading exists with Monday having the highest proportions.     

Intraday Behavior of Stock Prices and Trades around Insider Trading

Our evidence indicates that insiders' trades provide significant new information to market participants and they are incorporated more fully in stock prices as compared to noninsiders' trades. We find that market professionals do not front-run insiders' trades. Both insiders' purchases and sales result in significant contemporaneous and subsequent price impact, while sales by large shareholders result in a contemporaneous stock price decline that is subsequently reversed. The arrival of insider purchases reverse the prevailing negative order imbalances from third party trades and lead to piggy-backing by market professionals resulting in subsequent market purchase orders as well as stock price increases.     

Short-run Returns around the Trades of Corporate Insiders on the London Stock Exchange

Previous work examined the long-run profitability of strategies mimicking the trades company directors in the shares of their own company, as a way of testing for market efficiency. The current paper examines patterns in abnormal returns in the days around these trades on the London Stock Exchange.
We find movements in returns that are consistent with directors engaging in short-term market timing. We also report that some types of trades have superior predictive content over future returns. In particular, medium-sized trades are more informative for short-term returns than large ones, consistent with Barclay and Warner's (1993) 'stealth trading' hypothesis whereby informed traders avoid trading in blocks.
Another contribution of this study is to properly adjust the abnormal return estimates for microstructure (spread) transactions costs using daily bid-ask spread data. On a net basis, we find that abnormal returns all but disappear.     

On the Distribution of CBOE Option Trade Prices Occurring Between Consecutive Stock Trades

This paper examines the volume distribution of option trade prices that occurs when the underlying stock price remains constant. The width of these option trade price bands provides direct evidence on the law of one price and the redundancy of options assumed in many option models. We find that index option bands are narrower than equity option bands. Furthermore, for both equity and index options, puts have narrower bandwidths than calls. In general, option price bandwidth is narrow and can be explained by the minimum price movement allowed by the Chicago Board Options Exchanges (CBOE). This supports the single price law and the redundancy assumption. The existence of bid/ask quotes on the option does not materially affect the above results although it does alter the frequency of multiple option trade prices for a given underlying stock price. We note that over 53% of option trading volume occurs without bid/ask quotes on the CBOE compared to less than 15% a decade ago. Our results suggest that the effective bid/ask spread on options is probably no larger than the minimum price movements allowed by the CBOE. Furthermore, the need for the liquidity services of market makers may be declining if the decline in quoting activity stems from cross trading (i.e. trades not involving market makers).     

Measuring the Information Content of the Beige Book: A Mixed Data Sampling Approach

Studies of the predictive ability of the Federal Reserve's Beige Book for aggregate output and employment have proven inconclusive. This might be attributed, in part, to its irregular release schedule. We use a model that allows for data sampling at mixed frequencies to analyze the predictive power of the Beige Book. We find that the Beige Book's national summary and District reports predict GDP and aggregate employment and that most District reports provide information content for regional employment. In addition, there appears to be an asymmetry in the predictive content of the Beige Book language.     

The Market Evaluation of Information in Directors' Trades

The purpose of this paper is to examine the propensity, characteristics and performance of directors' trades. Consistent with prior research we show that on average, directors outperform the market. However, we also find that there exist a large number of trades which do not share these abnormal share price returns and consequently have little information content. This has important consequences for market participants who use director trading activity as a signal for their own trading strategies. Using different measures of directors' trades based on trade characteristics, we report that purchases by directors are more informative than sales. In addition, the number of directors trading within a twenty day window and the percentage of the directors' holding that is being traded are both important factors in the abnormal share price performance following the trade.     

The Information Content Of Calls Of Debt: Evidence From Long-Run Stock Returns

We examine the long‐run performance of the common stock of firms following calls of both straight and convertible debt from 1945 to 1995. Using a sample of 718 calls of straight debt, we find an average abnormal return in the five years following the call of between 0.16% and 0.34% per month, which compounds to an economically and statistically significant 11% to 22% over the five‐year period. This evidence of overperformance following calls shows a distinct symmetry between the straight debt and equity markets. Issues of debt and equity are both followed by long‐term underperformance, whereas stock repurchases and debt calls are both followed by long‐run overperformance. For our sample of 713 calls of convertible debt, we find little systematic evidence of abnormal performance following the call. Some researchers suggest that calls of convertible debt provide negative signals to the market. Our results provide no support for this claim. In contrast, our evidence of marginal positive long‐run returns provides weak support for the model that calls of convertible debt signal the realization of profitable investment options, and for the price pressure hypothesis.     

The Information Content of Cash Flows and the Random Walk: Evidence from the Helsinki Stock Exchange

Using a sample from the Helsinki Stock Exchange, this paper examines whether observed market reactions to unexpected cash flows are sensitive to the random walk assumption of cash flow behaviour. We consider the random walk (with drift) model commonly used in related literature, and we consider cash flow expectations generated with individually estimated parsimonious univariate time series models and an index model. Market reactions to unexpected cash flows are indiscernible under the random walk assumption, while significant market reactions are found when expectations of cash flows are measured with models which better capture their time series properties. Prior studies that rely on the random walk assumption have probably been biased against finding a significant market reaction to cash flow information.     

Local Does as Local Is: Information Content of the Geography of Individual Investors' Common Stock Investments

Using data on the investments a large number of individual investors made through a discount broker from 1991 to 1996, we find that households exhibit a strong preference for local investments. We test whether this locality bias stems from information or from simple familiarity. The average household generates an additional annualized return of 3.2% from its local holdings relative to its nonlocal holdings, suggesting that local investors can exploit local knowledge. Excess returns to investing locally are even larger among stocks not in the S&P 500 index (firms for which information asymmetries between local and nonlocal investors may be largest).     

Inferring Public and Private Information from Trades and Quotes

We propose a new model that uses nonsynchronous, ultra‐high frequency data to analyze the sequential impact of trades and quotes on the price process. Private information is related to the impact of trades and public information to the impact of quotes. The model is extended to include various other factors that affect public and private information. For 20 active Nasdaq stocks, private information causes, on average, 9.43% of daily stock price movements. Additionally, quotes are more informative when (1) many dealers set the best price and (2) traditional market makers rather than Electronic Communication Networks set the best price.     

Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards

Financial press reports claim that Internet stock message boards can move markets. We study the effect of more than 1.5 million messages posted on Yahoo! Finance and Raging Bull about the 45 companies in the Dow Jones Industrial Average and the Dow Jones Internet Index. Bullishness is measured using computational linguistics methods. Wall Street Journal news stories are used as controls. We find that stock messages help predict market volatility. Their effect on stock returns is statistically significant but economically small. Consistent with Harris and Raviv (1993) , disagreement among the posted messages is associated with increased trading volume.