Price Discovery in the Treasury‐Bill When‐Issued Market

When‐issued (i.e., forward) trading in T‐bills yet to be auctioned provides a unique environment for examining price discovery. Because T‐bills are auctioned in a sealed‐bid process, when‐issued traders cannot observe the spot market price. Yet the forward price must ultimately converge on the auction outcome price. Our results indicate that traders in the when‐issued market “discover” the ultimate auction price. Little evidence is found that standard order flow variables contribute to price discovery. Instead, the ability to observe a few trades with relatively small volume in the when‐issued market is sufficient to discover the auction price resulting from the sealed‐bid process.     

Liquidity Changes around Seasoned Equity Issuance: Public Offerings versus Private Placements

I investigate whether firms that issue equity, in public offerings or private placements, have improved on liquidity in the secondary market. Transaction costs, price impacts, and trading activity are examined. Results show that public offering stocks become considerably more liquid in all three dimensions. For private placement stocks, there is some evidence that trading volume increases, but effective spread and temporary price impact decline less than market‐wide changes. Furthermore, I study the behaviors of participants in the newly issued equity market. Analyses indicate that underwriters, analysts, and market makers all contribute to liquidity changes, but in different aspects.     

WHEN‐ISSUED SHARES,SMALL TRADES,AND THE VARIANCE OF RETURNS AROUND STOCK SPLITS

The increases in volatility after stock splits have long puzzled researchers. The usual suspects of discreteness and bid‐ask spread do not provide a complete explanation. We provide new clues to solve this mystery by examining the trading of when‐issued shares that are available before the split. When‐issued trading permits noise traders to compete with a more homogenous set of traders, decreasing the volatility of the stock before the split. Following the split, these noise traders reunite in one market and volatility increases. Thus, the higher volatility after the ex date of a stock split is a function of the introduction of when‐issued trading, the new lower price level after the split date, and the increased activity of small‐volume traders around a stock split.     

Do Analyst Stock Recommendations Piggyback on Recent Corporate News? An Analysis of Regular‐Hour and After‐Hours Revisions

Analysts often update their recommendations following corporate news. Questions have been raised regarding analysts’ ability to generate new information beyond recent corporate events. Employing a comprehensive database on corporate news, we show that only a small minority, or 27.9%, of all recommendation revisions directionally confirm the information in the preceding corporate events and even these “confirming revisions” facilitate the information discovery of corporate events and thus cannot simply be dismissed as “piggybacking.” Our analysis further shows that analysts not only facilitate price discovery to corporate news through issuing trending revisions but also help reverse prevailing market sentiments following corporate news by issuing contrarian revisions. Our study is the first to investigate short‐window intraday market reactions to revisions issued after hours, which account for 70% of all recommendation revisions in our sample period. Analysts’ incentives to issue revisions after hours appear to reflect demands from large institutional clients, who dominate after‐hours trading. More importantly, we show that the after‐hours revisions are associated with significantly greater price reactions and different price reaction patterns than revisions issued during regular trading hours. Collectively, our evidence indicates that analysts are a significant source of new information beyond recent corporate news and they also help shape the market's assessment of corporate disclosures.     

Valuing and pricing IPOs

This paper investigates how underwriters set the IPO firm’s fair value, an ex-ante estimate of the market value, using a unique dataset of 228 reports from French underwriters. These reports are issued before the IPO shares start trading on the stock market and detail how underwriters determined fair value. We document that underwriters often employ multiples valuation, dividend discount models and discounted cash flow (DCF) analysis to determine fair value but that all of these valuation methods suffer from a positive bias with respect to equilibrium market value. We also analyze how this fair value estimate is subsequently used as a basis for IPO pricing. We report that underwriters deliberately discount the fair value estimate when setting the preliminary offer price. Part of the intentional price discount can be recovered by higher price updates. We find that, controlling for other factors such as investor demand, part of underpricing stems from this intentional price discount.     

Capital gains tax,supply‐driven trading and ownership structure: direct evidence of the lock‐in effect

This study investigates the effect of differential capital gains tax rates on investor trading and share prices in a unique market setting that facilitates the resolution of conflicting prior evidence of holding period tax incentives. In particular, we examine whether the concessionary tax treatment of long‐term capital gains increases the supply of shares that qualify for long‐term status, thereby causing downward price pressure. We find evidence of abnormal seller‐initiated trading following the 12‐month anniversary of listing for IPO firms that appreciate in price (‘winners’) and report no such evidence for firms that decline in price (‘losers’). Consistent with the tax concessions being greater for individual than institutional investors, we report that abnormal seller‐initiated trading is mitigated by higher levels of ownership by institutional investors. We also report limited evidence, for winners, of declining share prices upon qualifying for long‐term tax status.     

THE EFFECTS OF DECIMALIZATION ON RETURN VOLATILITY COMPONENTS,SERIAL CORRELATION,AND TRADING COSTS

We examine the composition of return volatility, serial correlation, and trading costs before and after decimalization on the New York Stock Exchange. We decompose the variance of price changes into components associated with public news, rounding errors, and market‐making frictions. We find that when stocks move from a fractional to a decimal trading system, the variance components due to market‐making frictions and rounding errors decline significantly, whereas the component due to public news remains unchanged. The serial correlation of price changes weakens substantially after decimalization. The uninformed component of bid‐ask spreads decreases significantly whereas the informed component has no significant change.     

Early Movers Advantage? Evidence from Short Selling during After‐Hours on Earnings Announcement Days

We examine short sellers’ after‐hours trading (AHT) following quarterly earnings announcements released outside of the normal trading hours. Our innovation is to use the actual short trades immediately after the announcements. We find that on these earnings announcement days, there is significant shorting activity in AHT relative to shorting activity both during AHT on nonannouncements days and during regular trading sessions around announcements. Short sellers who trade after‐hours on announcement days earn an excess return of 0.82% and 1.40% during before‐market‐open (BMO) and after‐market‐close (AMC)sessions, respectively. The magnitude of these returns increases to 1.48 (3.92%) for BMO (AMC) earnings announcements with negative surprise. We find that the reactive short selling during AHT has information in predicting future returns. Short sellers’ trades have no predictive power if they wait for the market to open to trade during regular hours. In addition, we find that the weighted price contribution during AHT increases with an increase in after‐hours short selling. Overall, our results suggest that short sellers in AHT are informed. Our findings remain robust using alternative holding periods and after controlling for macroeconomic news announcements during BMO sessions.     

How cross-listings from an emerging economy affect the host market?

We study the impact of mainland Chinese listings in Hong Kong on the quality and development of the Hong Kong equity market. At the macro-level, we find that the increasing presence of mainland Chinese stocks in Hong Kong increases the size, trading volume, and its link with the China and world markets but reduces the overall volatility of the Hong Kong stock market. At the firm level, the increase affects the market quality, resulting in lower turnover rate, higher Amihud illiquidity ratio, and higher spread for non-mainland Chinese firms. Furthermore, such an increase in presence causes Hong Kong stocks to move in a more synchronized way and reduces these firms investment sensitivity to stock price movement, implying deterioration in the information environment. As a whole, the increasing presence of Chinese companies in Hong Kong brings benefits to the Hong Kong market, yet not without cost.     

Competition For Order Flow, Market Quality, And Price Discovery In The Nasdaq 100 Index Tracking Stock

We investigate competition for order flow, market quality, and price discovery in the Nasdaq 100 Index Tracking Stock (QQQ). The QQQ, an AMEX‐listed, exchange‐traded fund, is the most actively traded security in the U.S. equities market. On July 31, 2001, the NYSE began trading the QQQ, marking the first time it traded securities of companies it does not list. The greatest volume of trading takes place on electronic communication networks (ECNs), following by trading on the AMEX and the NYSE. Most of the block trades are executed on the AMEX, where the bid‐ask spreads are narrower. We find that ECNs contribute the most to the price‐discovery process. The spreads on all trading platforms have decreased and market quality and price discovery have improved since QQQ shares have traded on the NYSE.     

IPO限价发行与新股二级市场价格泡沫——论股票市场“弹簧效应”

本文通过对比2009年7月1日至2014年6月30日IPO市场化定价发行阶段与2014年7月1日至2018年6月30日IPO限价发行阶段共1950个IPO样本,发现IPO限价发行对于新股在二级市场股价表现具有“弹簧效应”:即抑制股票一级市场发行价格会造成新股在二级市场价格短期内超涨,限价发行新股的二级市场定价显著高于市场化定价发行新股的二级市场定价。限价发行引起的过高二级市场定价最终导致股票长期回报率低下。另外,创业板公司“弹簧效应”显著强于主板公司。这些实证结果都可以被本文提出的一级市场价格压抑造成二级市场非理性投资者上涨预期一致、盲目追涨的理论模型所解释。本文的研究指出抑制股票一级市场定价虽然形式上可以解决新股发行价过高问题,但是却造成二级市场更大的价格扭曲。这一发现为进一步完善我国IPO发行定价机制提供了依据。     

THE EFFECT OF CROSS‐LISTING ON TRADING VOLUME: REDUCING SEGMENTATION VERSUS SIGNALING INVESTOR PROTECTION

We examine the relation between cross‐listing on the U.S. and UK regulated and unregulated exchanges and trading volume for a sample of 500 foreign firms from 34 countries. We find that the increase in trading volume is a function of both reducing segmentation and signaling investor protection. In addition, we find that home market trading volume, firm size, firm returns, and analyst forecast accuracy are the major determinants of a firm's trading volume. We also show that U.S. and UK investors trade foreign securities that originate from low‐investor‐protection countries more than they trade those from high‐investor‐protection countries, which is consistent with the bonding hypothesis.     

MARKET STRUCTURE AND TRADING VOLUME

Historically, trading volume reported for NASDAQ stocks has been overstated vis‐à‐vis New York Stock Exchange (NYSE) stocks, both because of the dealer's participation in trades as a market maker and because of interdealer trading. Beginning in 1997, the Securities and Exchange Commission changed order‐handling rules and trade‐reporting rules, which may have reduced or eliminated the overstatement of NASDAQ trading. We examine trading volumes of firms changing from NASDAQ to the NYSE since 1997 and document that reported trading volume for NASDAQ stocks continues to be overstated. Moreover, the degree of overstatement is much larger for firms with high trading volume.     

The dynamics of price discovery for cross-listed shares: Evidence from Australia and New Zealand

This paper studies the dynamics of price discovery for markets with bilateral cross-listings. Using a sample of four Australian stocks cross-listed in New Zealand and five New Zealand stocks cross-listed in Australia for the period January 2002 to December 2007, we assess Hasbrouck (1995) information shares and Grammig et al. (2005) conditional information shares over time. We observe that in both cases the home market is dominant in terms of price discovery. However, when studying price discovery over time, we find that the importance of the Australian market (the larger of the two markets) is increasing for both Australian and New Zealand domiciled firms. Finally, using panel regression analysis, we find that the growth in the importance of the Australian market is positively related to the growth in the size of the firm and negatively related to the size of the percentage spread in the Australian market, implying that as firms grow larger and their cost of trading in Australia declines, the Australian market becomes more informative.     

Does volume help in predicting stock returns? An analysis of the Australian market

This paper presents an analysis of the relationship between trading volume and stock returns in the Australian market. We test this hypothesis by using data from a sample of firms listed on the Australian stock market for a period of 5 years from January 2001 to December 2005. We explore this relationship by focusing on the level of trading volume and thin trading in the market. Our results suggest that trading volume does seem to have some predictive power for high volume firms and in certain industries of the Australian market. However, for smaller firms, trading volume does not seem to have the same predictive power to explain stock returns in Australia.     

Information,sell-side research,and market making

The interaction between an investment bank's research and market making arms may have important implications for the trading of a firm's stock. We investigate the impact that research has on the liquidity provided by the bank's market maker. Utilizing a large sample of Nasdaq firms, we show that market makers whose banks also provide research coverage provide more liquidity and contribute more to price discovery than do market makers without such research coverage. Finally, we show that such “affiliated” market makers are less affected by uncertainty following earnings announcements. Our results provide new evidence on the sources of liquidity improvements for Nasdaq firms, and suggest that the information produced by banks in the sell-side research process is beneficial to their market makers.     

Short‐ and Long‐Term Effects of Multimarket Trading

We analyze short‐ and long‐term effects of multimarket trading by examining the entries of multiple markets into transacting three ETFs, DIA, QQQ, and SPY. We find that large‐scale entries improve overall market quality, while small‐scale entries have ambiguous effects. Our results show that the competition effect dominates the fragmentation effect over a long horizon and that market fragmentation leads to a decline in trading costs. Further, we find that the order handling rules help mitigate the fragmentation effect and facilitate the competition effect. We do not find that multimarket trading harms price efficiency or increases price volatility.     

How does the call market method affect price efficiency? Evidence from the Singapore Stock Market

On August 21, 2000, the Singapore Exchange (SGX) adopted the call market method to open and close the market while the remainder of the day’s trading continued to rely on the continuous auction method. The call method significantly improved the price discovery process and market quality. A positive spillover effect is observed from the opening and closing calls. Day-end price manipulation also declined after the introduction of the call market method. However, the beneficial impact from the call market method is asymmetric, benefiting liquid stocks more than illiquid stocks.     

INFORMATION ASYMMETRY,DIVIDEND STATUS,AND SEO ANNOUNCEMENT‐DAY RETURNS

We analyze the relation between the dividend‐paying status of a firm and the seasoned equity offering (SEO) announcement‐day return. Asymmetric information theory suggests there should be a positive relation: the larger the disagreement, particularly between managers and shareholders, the larger the price drop on the SEO announcement day. However, this theoretical result has not been supported by prior empirical research. In this article we reconcile the gap between the theory and extant empirical results by identifying a structural change in the way the stock market treats dividend‐paying firms. Since the mid‐1980s the difference in information asymmetry between dividend‐ and non‐dividend‐paying firms has increased sharply. As a result, before the mid‐1980s the market did not differentiate strongly between them, but subsequently the market has reacted less negatively to announcements by dividend payers.