Why Can't I Trade? Exchange Discretion in Calling Halts*,†

Stock exchanges are important intermediaries in how firm information enters price. Trading halts are a key tool, often exercised at the exchanges' discretion, to prevent extraordinary price volatility when new information arrives. We investigate how exchanges use discretion and whether the discretion alters the effectiveness of the halts. We provide evidence consistent with halts reflecting the preferences of listed firms rather than the stated exchange objectives (i.e., minimizing excess volatility and off-equilibrium trades). Furthermore, when exchanges exercise more discretion (unexplained by firm and information characteristics), the halts are less effective. Specifically, halts with more discretion are less likely to resume trading with efficient prices and are more likely to have been called unnecessarily (i.e., little to no price movement during the halt). These findings are consistent with exchanges using halts to cater to listed firms rather than to meet exchange objectives such as minimizing excess volatility or avoiding trades at off-equilibrium prices.     

Positive Feedback Trading Under Stress: Evidence from the US Treasury Securities Market

Abstract

A vector autoregression (VAR) is estimated on tick-by-tick data for quote-changes and signed trades of 2-year, 5-year and 10-year on-the-run US Treasury notes. Confirming the results found by Hasbrouck and others for the stock market, signed order flow tends to exert a strong effect on prices. More interestingly, however, there is often a strong effect in the opposite direction, particularly at times of volatile trading. Price declines elicit sales and price increases elicit purchases. An examination of tick-by-tick trading on an especially volatile day confirms this finding. At least in the US Treasury market, trades and price movements appear likely to exhibit positive feedback at short horizons, particularly during periods of market stress. This suggests that the standard analytical approach to the microstructure of financial markets, which focuses on the ways in which the information possessed by informed traders becomes incorporated into market prices through order flow, should be complemented by an account of how price changes affect trading decisions.     

Price and Volume Reactions to Public Information Releases: An Experimental Approach Incorporating Traders' Subjective Beliefs*

This paper examines how market prices, volume, and traders' dividend expectations respond to public information releases in laboratory markets for a long-lived financial asset. The objective is to study deviations from the symmetric information risk-neutral rational expectations (RE) benchmark, which predicts no trade in such settings. The results of a series of double-auction and call markets are reported in which traders manage a portfolio of cash and asset shares over 15 rounds of trading. A public signal regarding the value of the liquidating dividend is released every third round, and traders' subjective expectations of the liquidating dividend are elicited each round as cash-motivated forecasts. We find that, despite the public dividend signal, traders' dividend forecasts are heterogeneous. Forecasts and prices both underreact to the public signals, with prices under-reacting more than forecasts. In general, price changes are not closely associated with public signals, and there is greater excess price volatility in double auctions than in call markets. Forty-three percent of trades are inconsistent with the trader's forecasts, and inconsistent trades occur more frequently in the double-auction markets. On average, approximately 10 percent of the outstanding shares are traded in each round, and trading volume is increasing in the mean absolute forecast revision and decreasing in the contemporaneous dispersion in forecasts. These results suggest that differential processing of the public signal and/or speculative trading for short-term gain may help to explain why symmetric information RE predictions are often not supported in empirical and experimental settings. They also suggest that market reactions to public information releases may be influenced by market microstructure.     

Earnings Announcements and Market Depth*

Abstract. This paper investigates how strategic trading around the time of earnings announcements affects market liquidity (e.g., bid-ask spreads). We model an investor with private information in advance of an earnings announcement (e.g., inside information). The investor trades before and after the earnings announcement in a market populated by liquidity-motivated traders who have some discretion over the timing of their trades. The main result of the analysis is that an earnings announcement that reduces an insider's private information may lead to a less liquid market in the postannouncement period.     

Can price limits help when the price is falling? Evidence from transactions data on the Shanghai Stock Exchange

We use transactions data to explore the magnet effects of price limit rules on the Shanghai Stock Exchange (SHSE). When limit hits are imminent, stock prices are found to approach the price limits at faster rates, with higher trading intensity and larger price variation, supporting the magnet effect hypothesis of Subrahmanyam [Subrahmanyam, A., 1994. Circuit breakers and market volatility: A theoretical perspective. Journal of Finance, 49, 237–254.]. Moreover, when stock prices approach the floor limits, we observe lower than normal market conditions’ trading volume and trade size but a wider spread. The panic selling psychology of individual investors for fear of illiquidity and the strategic trading decisions of discretionary traders during periods prior to price limit hits at the floors are conjectured as possible explanations for the observed price behaviors. Post-limit-hit analysis reveals evidence of delayed price discovery at the ceiling limit but price reversal at the floor.     

Option Trading,Price Discovery,and Earnings News Dissemination*

Abstract. Option market activity increases by more than 10 percent in the four days before quarterly earnings announcements. We show that the direction of this preannouncement trading foreshadows subsequent earnings news. Specifically, we find option traders initiate a greater proportion of long (short) positions immediately before “good” (“bad”) earnings news. Midquote returns to active-side option trades are positive during nonannouncement periods and are significantly higher immediately prior to earnings announcements. Bid-ask spreads for options widen during the announcement period, but traders do not gravitate toward high delta contracts. Collectively, the evidence shows option traders participate generally in price discovery (the incorporation of private information in price), and more specifically in the dissemination of earnings news.     

An Empirical Analysis of Legal Insider Trading in The Netherlands

In this paper, we employ a registry of legal insider trading for Dutch listed firms to investigate the information content of trades by corporate insiders. Using a standard event-study methodology, we examine short-term stock price behavior around trades. We find that purchases are followed by economically large abnormal returns. This result is strongest for purchases by top executives and for small market capitalization firms, which is consistent with the hypothesis that legal insider trading is an important channel through which information flows to the market. We analyze also the impact of the implementation of the Market Abuse Directive (European Union Directive 2003/6/EC), which strengthens the existing regulation in the Netherlands. We show that the new regulation reduced the information content of sales by top executives.     

A Better Measure of Institutional Informed Trading

Although many studies show that the presence of institutional investors facilitates the incorporation of accounting information into financial markets, the evidence of informed trading by institutions is rather limited in the extant literature. We address these inconsistent findings by proposing PC_NII, percentage changes in the number of a stock's institutional investors, as a novel informed trading measure. PC_NII is better able to detect informed trading than are changes in institutional ownership (ΔIO)—the measure commonly used in previous studies—because (i) entries and exits are usually triggered by substantive private information and (ii) only a small fraction of institutions have superior information. As conjectured, PC_NII subsumes the information content of ΔIO and other institutional trading and herding measures in the forecast of stock returns, and its strong predictive power for stock returns reflects mainly its close correlation with future earnings surprises. We also show that PC_NII helps address empirical issues that require a reliable measure of institutional informed trading.     

Earnings Forecasts and Price Efficiency after Earnings Realizations: Reduction in Information Asymmetry through Learning from Price*

When information asymmetry is a major market friction, earnings forecasts can lead to higher price efficiency even after the information in forecasts completely dissipates upon earnings realizations. We show this in an experimental market that features information asymmetry (i.e., some traders possess differential private information). Earnings forecasts reduce information asymmetry and lead to prices that reflect a greater amount of private information. Traders can learn more about others' information from prices. This information learned from past prices continues to reduce information asymmetry and improve price efficiency even after earnings realizations. We contribute to the disclosure literature by showing the evidence that the learning‐from‐price effect amplifies the impact of public disclosure on price efficiency.     

Trading Prior to the Disclosure of Material Information: Evidence from Regulation Fair Disclosure Form 8‐Ks*

Regulation Fair Disclosure (Reg FD) Form 8‐K filings provide a venue where managers release information to the market as a whole that they designate as being material. Using this setting, we study trading patterns immediately prior to the public disclosure of material information. We offer three main results. First, using both intraday and daily trading data, we find abnormal trading volume of 21 percent (13 percent) in the hour (day) prior to the public disclosure, respectively. Second, we find that this pre‐disclosure abnormal trading volume is concentrated in firms that are smaller, have more growth opportunities, issue fewer voluntary disclosures, and have weaker external monitoring. Finally, we find that this pre‐disclosure volume is concentrated in subsamples in which the information relates to a firm's material contracts, a firm holds investor/analyst conferences, and there is insider trading activity in a firm's shares. Our results do not concentrate in a small number of firms or industries, and do not appear to be explained by the form through which managers first release the material information (e.g., Form 8‐K, press release, website posting, or social media). Our results are also robust to controlling for the firm's other filings and peer filings that occur around the disclosure. Overall, the trading patterns we document may show that, inconsistent with the spirit of Reg FD, a subset of investors trade on information managers deem material prior to its broad, public release.     

Information and Price Setting in a Rural Javanese Market∗

The paper examines the thesis established by Geertz and Dewey that Javanese rural trading practices, although well suited to the pasar marketing system, are maladaptive to larger scale trade. Focusing on a chilli marketing depot in Java the paper outlines the network of trading links which stretch from farmer to end-market, as well as the mechanisms of price setting and credit arrangements. The conclusions reached are that the volume and value of goods handled at this level are considerable and that both price setting and commercial relationships are largely stable. Constraints on entrepreneurial activity are attributed not to a Javanese peasant ethos of “shared poverty” but to lack of capital, dispersed markets, perishable goods and discontinuous information on supply of produce and current market prices.

     

Disclosure Policy and Market Liquidity: Impact of Depth Quotes and Order Sizes*

This paper investigates the relation between disclosure policy and market liquidity. Our tests examine two key aspects of market liquidity, the effective bid‐ask spread and quoted depth, and how they relate to financial analysts' ratings of firms' disclosure policies. We introduce a method of combining order sizes and depth quotes to yield more precise estimates of effective spreads on trades likely constrained by quoted depth. We find that while firms with higher rated disclosures are charged lower effective spreads, they are also quoted lower depth, consistent with the notion that better disclosures reduce information asymmetry but also cause some liquidity suppliers to exit the market. Therefore, a simple examination of spreads and depths yields ambiguous inferences on the relation between disclosure policy and market liquidity. We resolve this ambiguity by estimating depth‐adjusted effective spreads, and find that firms with higher rated disclosures have lower depth‐adjusted effective spreads across all trade sizes. Consequently, our results reveal a robust inverse relation between disclosure ratings and effective trading costs. This implies that a policy of enhanced financial disclosure is related to improved market liquidity.     

Trade-size clustering and price efficiency

Using a sample of 26 markets, this paper investigates if trade-size clustering affects price efficiency. Our results suggest that more clustering trades are associated with greater resemblance of a random walk, less pricing errors, and shorter price delays. Moreover, we examine three underlying mechanisms to explain how clustering improves efficiency. First, we show that clustering trades are informative, consistent with the idea that stealth traders leverage such tactics to convey private information to prices. Second, we discover that clustering trades are positively related to investor attention (stock liquidity), implying that informed clustering trades happen at the presence of enormous uninformed investors. High attention and liquid markets help reduce the trading friction, thereby prompting quick price adjustments to private information released by the stealth trading.     

Informational differences among institutional investors in an increasingly institutionalized market

Studying the informativeness of institutional trades, this paper examines informational differences among institutional investors in the Taiwan stock market. Evidence shows that the net trades of (domestic) mutual funds impound information superior to the net trades of foreign investors and securities dealers, regardless of the selected formation and holding periods. The information advantage of mutual funds does not result from their trading persistence but from their stock-picking skill. The advantage is positively related to information asymmetry proxied by the smallness of firms, even after controlling for the risks associated with institutional equity preferences.     

Analyst Report Readability

Using an extensive database of 356,463 sell‐side equity analysts' reports from 2002 to 2009, this study is one of the first to analyze the readability of analysts' reports. We first examine the determinants of variations in analyst report readability. Using several proxies for ability, we show that reports are more readable when issued by analysts with higher ability. Second, we test the relation between analysts' report readability and stock trading volume reactions. We find that trading volume reactions increase with the readability of analysts' text, consistent with theoretical models that predict that more precise information (and hence more informative signals) results in investors' initiating trades. These results support the view that the readability of analysts' reports is important to analysts and capital market participants.     

公司信息披露质量对投资者交易行为的影响——基于对深圳上市公司的经验分析

本文在控制样本自选择偏误的基础上.实证分析了我国上市公司的信息披露质量差异对投资者交易行为的影响.研究发现,投资者在关于股票价格和风险的交易决策时对不同信息披露质量的公司具有行为差异,高披露质量的公司有较低的信息成本和市场风险;但是,公司信息披露质量高低对投资者的股票交易数量、交易速率的影响尚不显著,且不知情者"跟随"交易现象明显,市场投机氛围重,表明我国证券市场的有效程度尚待提高.本研究为规范和引导我国上市公司的信息披露行为及健全证券市场制度提供了经验证据.     

An examination of minimum tick sizes on the Tokyo Stock Exchange

In setting a minimum tick size, exchanges balance the competing objectives of lowering transaction costs and encouraging liquidity provision by minimizing stepping-ahead risk. We examine the trade-off between these two types of costs by examining the proportion of time that the quoted spread equals the minimum tick size (PTIMEMIN). We undertake this analysis on the Tokyo Stock Exchange, a market that sets nine different tick sizes based on stock price. PTIMEMIN varies markedly across stocks, ranging from almost 0 to almost 100 percent. We find that trade size, the number of trades, and price are the most important determinants of whether the minimum tick size is a binding constraint. In fact, trade size and number of trades are more significant determinants of tick size constraint than price. Consequently, we argue that tick size should be set based on trading activity and price, rather than price alone.     

R平方和噪声交易

本文采用中国证券市场的数据,研究了R平方和噪声交易的关系。采用小单子作为噪声交易的指标,采用未来盈余反应系数来作为价格中信息含量的指标,我们通过行业配对方法实证检验了R平方和噪声的关系。我们发现噪声交易对R平方有负向作用。该结果对于不同的信息指标、不同的样本和对于小单子不同的标准稳健,而R平方和价格中信息含量的关系并不支持Durnev等(2003)的结论。     

噪声交易与股票流动性:兼对“正(负)相关”理论的评析及“流动性黑洞”现象的解释

噪声交易与股票流动性都是行为金融研究的重点，但二者的相关性问题学界一直未能达成一致，"正负之争"不休。文章改进Kyle （1985）的假设，构建符合中国实际的流动性数理模型，模型表明：噪声交易与流动性负相关，且相关关系受信息不对称、风险厌恶度等因素的影响。进一步，文章以中国沪深300指数的成分股数据证实了"噪声交易-流动性"关系，发现其存在显著的月历效应和市场行情效应。文章对"正（负）相关"理论进行了梳理和评析，为争论的清晰化、明朗化做出贡献。     

The Declining Value‐relevance of Accounting Information and Non‐Information‐based Trading: An Empirical Analysis*

Recently, a growing body of literature has suggested that financial statements have lost their value‐relevance because of a shift from a traditional capital‐intensive economy to a high‐technology, service‐oriented economy. These conclusions are based on studies that find a temporal decline in the association between stock prices and accounting information (earnings and book values). This paper empirically tests a theoretical prediction arising from the noisy rational expectations equilibrium model that suggests that the decline could be driven by non‐information‐based (NIB) trading activity, because such trading reduces the ability of stock prices to reflect accounting information. Specifically, Dontoh, Radhakrishnan, and Ronen (2004) show that when NIB trading increases, the R²s of a regression of stock price on accounting information declines. Our empirical tests confirm this prediction; that is, the decline in the association between stock prices and accounting information as measured by R²s is driven by an increase in NIB trading.