Off-Board Trading of NYSE-Listed Stocks: The Effects of Deregulation and the National Market System

An econometric time-series model of off-board trading of NYSE-listed stocks shows that high NYSE commission rates were an incentive for third-market trading but that trading on the regional exchanges, which is most of the off-board trading, has been affected very little by commissions or their deregulation. The effects of some changes in the trading organization and rules are estimated, including several that are part of the emerging National Market System. The estimates imply that the NMS has increased competition for the NYSE, as Congress intended, and has prompted the NYSE to improve its performance to retain market share.     

Institutional investor’ proportions and inactive trading

We focus on a typical market anomaly-inactive trading: trading volume shrinks while stock price abnormally jumps. We calibrate a theoretical model with variance ambiguity heterogeneous among investors and illustrate that ambiguity averse investors' proportions enhance trading volume shrinkage and abnormal price jumps. We provide a cross-section analysis of stocks' inactive trading by introducing institutional investors' proportions to measure investor structures' differences among stocks. We also empirically measure relative inactive trading for constituent stocks in S&P 500 from 2014 to 2019 and demonstrate that institutional investors' proportion is negatively related to inactive trading. Finally, we demonstrate that higher proportions of institutional investors lead to less inactive trading anomalies.     

Differences of Opinion of Public Information and Speculative Trading in Stocks and Options

We analyze the effects of differences of opinion on the dynamicsof trading volume in stocks and options. We find that disagreementsabout the mean of the current- and next-period public informationlead to trading in stocks in the current period but have noeffect on options trading. Without options, we find that disagreementsabout the precision of all past and current public informationaffect trading in stocks in the current period. With options,only disagreements about the precisions of the next- and current-periodinformation affect stocks and options trading in the currentperiod. Our results suggest that options trading is concentratedaround information events that are likely to cause disagreementsamong investors, whereas trading in stocks may be diffusiveover many periods.     

Liquidity,Information, and Infrequently Traded Stocks

This article investigates whether differences in information-based trading can explain observed differences in spreads for active and infrequently traded stocks. Using a new empirical technique, we estimate the risk of information-based trading for a sample of New York Stock Exchange (NYSE) listed stocks. We use the information in trade data to determine how frequently new information occurs, the composition of trading when it does, and the depth of the market for different volume-decile stocks. Our most important empirical result is that the probability of information-based trading is lower for high volume stocks. Using regressions, we provide evidence of the economic importance of information-based trading on spreads.     

融资融券对个股交易变化影响的实证研究

文章运用融资融券155只标的证券的截面数据,实证研究了融资融券对个股交易变化的影响.结果发现,融资融券余额对标的股的个股回报率、交易股数、率都具有较为显著的正向作用,分析了导致这一现象出现的原因,并针对如何充分发挥融资融券价格发现功能,平抑股价过度波动提出了相关政策建议.     

Communication and Comovement: Evidence from Online Stock Forums

We study investor communication and stock comovement using a novel data set from an active online stock forum in China. We find substantial comovement among the returns of a stock and its “related stocks,” which are frequently discussed in the subforum dedicated to the given stock. Comovement is greater when the discussion of related stocks is more intensive. Further, the effect of communication on comovement is stronger for stocks associated with higher information uncertainty. Codiscussed stocks are more actively traded and experience more correlated trading. A trading strategy that exploits communication‐driven comovement generates abnormal returns. Our findings highlight the impact of investor communication on asset comovement.     

Does the Specialist Matter? Differential Execution Costs and Intersecurity Subsidization on the New York Stock Exchange

This article tests for differences in execution costs among specialist firms for New York Stock Exchange listed securities. Execution cost differences provide a measure of the relative performance of specialist firms. We find a substantial difference in effective spreads and order processing costs across specialist firms, controlling for stock characteristics. While economically significant, the differences in execution costs between specialist firms are much smaller than the cross-market differences reported by Huang and Stoll (1996). Within a specialist firm, there is a positive relation between order processing costs and trading activity that is consistent with the hypothesis that active stocks subsidize inactive stocks.     

The Trades of Market Makers: An Empirical Analysis of NYSE Specialists

This paper presents a transaction-level empirical analysis of the trading activities of New York Stock Exchange specialists. The main findings of the analysis are the following. Adjustment lags in inventories vary across stocks, and are in some cases as long as one or two months. Decomposition of specialist trading profits by trading horizon shows that the principal source of these profits is short term. An analysis of the dynamic relations among inventories, signed order flow, and quote changes suggests that trades in which the specialist participates have a higher immediate impact on the quotes than trades with no specialist participation.     

Disclosure regulation and information risk

The present paper examines the impact of the Corporations Law Reform Act 1994 on information-based trading in Australian Stock Exchange-listed stocks. Results show that information-based trading is higher in the post-reform period, particularly for lower capitalization stocks. Further analysis shows that this is caused by a fall in turnover and rise in the number of slow trading days. After controlling for these factors, the reform is found to have no impact on information-based trading. Interestingly, the volume of price-sensitive disclosures is found to have no impact on either the level of information-based trading or market spreads.     

Does Noninformative Text Affect Investor Behavior?

This article demonstrates that easily processed texts affect investor trading behavior even in the absence of any informational content. We examine the trading symbols of US firms and find that stocks with clever tickers (those that are actual words in the English language) are more liquid, as measured by higher turnover and trading volume, as well as lower spreads. Furthermore, clever ticker stocks are traded more by uninformed investors and have larger market reactions on earnings announcement days. These results suggest that ticker fluency facilitates trading by improving the firm's visibility among retail investors through attention grabbing and memorization.     

Mutual Fund Herding and the Impact on Stock Prices

We analyze the trading activity of the mutual fund industry from 1975 through 1994 to determine whether funds "herd" when they trade stocks and to investigate the impact of herding on stock prices. Although we find little herding by mutual funds in the average stock, we find much higher levels in trades of small stocks and in trading by growth-oriented funds. Stocks that herds buy outperform stocks that they sell by 4 percent during the following six months; this return difference is much more pronounced among small stocks. Our results are consistent with mutual fund herding speeding the price-adjustment process.     

Information of Unusual Trading Volume

This article investigates the information content of stock unusual trading volume from the aspect of firm fundamental information revealed by both earnings formal announcements and preannouncements. By using the stock market data of China from the second quarter of 2003 to the end of 2015, this article provides evidence that, in general, stocks that experience unusually low trading volume over the week prior to earnings announcements have more unfavorable earnings surprises. However, because of the feature of mandatory pre-disclosure policy in China, this article further finds that the relation between unusually low trading volume and unfavorable earnings surprises only exists in the stocks without earnings preannouncements, because fundamental information is incorporated in the stock prices timely around preannouncements date. In addition, unusually low trading volume signals negative fundamental changes revealed by preannouncements, and this effect is more pronounced among stocks with higher short-selling constraints, but unusually high trading volume is value-irrelevant.     

Institutional investors,intangible information,and the book-to-market effect

This paper establishes a robust link between the trading behavior of institutions and the book-to-market effect. Building on work by Daniel and Titman (2006), who argue that the book-to-market effect is driven by the reversal of intangible returns, I find that institutions tend to buy (sell) shares in response to positive (negative) intangible information and that the reversal of the intangible return is most pronounced among stocks for which a large proportion of active institutions trade in the direction of intangible information. Furthermore, the book-to-market effect is large and significant in stocks with intense past institutional trading but nonexistent in stocks with moderate institutional trading. This influence of institutional trading on the book-to-market effect is distinct from that of firm size. These results are consistent with the view that the tendency of institutions to trade in the direction of intangible information exacerbates price overreaction, thereby contributing to the value premium.     

Against the tide: the commencement of short selling and margin trading in mainland China

China's recent removal of short‐selling and margin trading bans on selected stocks enables testing of the relative effect of margin trading and short selling. We find the prices of the shortable stocks decrease, on average, relative to peer A‐shares and cross‐listed H‐shares, suggesting that short selling dominates margin trading effects. Contrary to the regulators' intention and recent developed market empirical evidence, liquidity declines and bid‐ask spreads increase in these shortable stocks. Consistent with Ausubel (1990), these results imply that uninformed investors avoid the shortable stocks to reduce the risk of trading with informed investors.     

Estimating the Probability of Informed Trading

Using a new empirical model, I estimate the probability of trades being generated by privately informed traders. Inference is drawn on a trade‐by‐trade basis using data samples from the New York Stock Exchange (NYSE). The modeling setup facilitates in‐depth analysis of the estimated probability of informed trading at the intraday level and for stocks with different levels of trading activity. The most important empirical results are: (a) the intradaily pattern of the inferred probability of informed trading is highly correlated with the intradaily pattern of observed quoted spreads, (b) differences in the magnitude of quoted spreads across volume categories are not exclusively related to differences in the level of informed trading, and (c) private information is incorporated faster in the quotes for high‐volume stocks than in the quotes for low‐volume stocks.     

台湾证券柜台交易市场结构及其混合交易模式研究

台湾证券柜台交易市场在促进台湾中小型高科技企业的快速成长和规范非上市公开发行公司的股权报价转让等方面发挥着不可替代的重要作用。本文详细考察了台湾证券柜台交易市场上柜股票和兴柜股票的交易模式,研究表明兴柜市场实行的以分散报价、集中成交的竞争性做市商交易模式具有内在的制度优势,是适宜个人投资者为主的柜台交易市场。台湾柜台交易中心取得成功的关键在于,以满足柜台交易市场交易性需求、流动性需求、波动性需求和透明度需求为基础,通过构建合理的市场结构创造性地引入包括竞价交易机制在内、与市场功能和交易对象的风险特性相适应的混合交易模式。     

Momentum Trading by Institutions

We document the equity trading practices of approximately 1,200 institutions from the third quarter of 1987 through the third quarter of 1995. We decompose trading by institutions into the initiation of new positions (entry), the termination of previous positions (exit), and adjustments to ongoing holdings. Institutions act as momentum traders when they enter stocks but as contrarian traders when they exit or make adjustments to ongoing holdings. We find significant differences in trading practices among different types of institutions.     

Evidence and Implications of Increases in Trading Volume Around Exchange Listings

After controlling for market volume trends and differences in volume measurement between the Nasdaq and the exchanges, we find that mean trading volumes increase significantly for Nasdaq stocks that list on the Amex or the NYSE. Furthermore, stocks with low (high) pre‐listing volume tend to realize the largest volume increases (decreases) as well as the best (worst) post‐listing performance. Our results support the hypothesis that stocks with high past trading volumes tend to experience lower future returns, and shed new light on the nature and possible causes of poor post‐listing stock performance.     

Multimarket Trading and Liquidity: Theory and Evidence

We develop a new model of multimarket trading to explain the differences in the foreign share of trading volume of internationally cross‐listed stocks. The model predicts that the trading volume of a cross‐listed stock is proportionally higher on the exchange in which the cross‐listed asset returns have greater correlation with returns of other assets traded on that market. We find robust empirical support for this prediction using stock return and volume data on 251 non‐U.S. stocks cross‐listed on major U.S. exchanges.     

The Calm before the Storm

I provide evidence that stocks experiencing unusually low trading volume over the week prior to earnings announcements have more unfavorable earnings surprises. This effect is more pronounced among stocks with higher short‐selling constraints. These findings support the view that unusually low trading volume signals negative information, since, under short‐selling constraints, informed agents with bad news stay by the sidelines. Changes in visibility or risk‐based explanations are insufficient to explain the results. This evidence provides insights into why unusually low trading volume predicts price declines.