Ripples through markets: Inter-market impacts generated by large trades

This paper uses a sample of large trades executed on the London Stock Exchange's SEAQ-I market for European cross-traded firms to investigate their impact on home market prices when parallel markets suffer from information frictions. I find that (a) large London trades produce price impacts in home markets even though no timely information is published, (b) market makers appear to pre- and post-position their inventories by splitting orders across markets, and (c) the price discovery process across markets changes significantly around large trades with the foreign market making a significantly bigger contribution to price discovery at this time, even though information opaqueness exists.     

The diversity of high-frequency traders

The regulatory debate concerning high-frequency trading (HFT) emphasizes the importance of distinguishing different HFT strategies and their influence on market quality. Using data from NASDAQ-OMX Stockholm, we compare market-making HFTs to opportunistic HFTs. We find that market makers constitute the lion's share of HFT trading volume (63–72%) and limit order traffic (81–86%). Furthermore, market makers have higher order-to-trade ratios and lower latency than opportunistic HFTs. In a natural experiment based on tick size changes, we find that the activity of market-making HFTs mitigates intraday price volatility.     

High‐Frequency Trading around Large Institutional Orders

Liquidity suppliers lean against the wind. We analyze whether high‐frequency traders (HFTs) lean against large institutional orders that execute through a series of child orders. The alternative is HFTs trading with the wind, that is, in the same direction. We find that HFTs initially lean against these orders but eventually change direction and take positions in the same direction for the most informed institutional orders. Our empirical findings are consistent with investors trading strategically on their information. When deciding trade intensity, they seem to trade off higher speculative profits against higher risk of being detected and preyed on by HFTs.     

Price Discovery and Dissemination of Private Information by Loan Syndicate Participants

We delineate key channels through which flows of confidential information to loan syndicate participants impact the dynamics of information arrival in prices. We isolate the timing of private information flows by estimating the speed of price discovery over quarterly earnings cycles in both secondary syndicated loan and equity markets. We identify borrowers disseminating private information to lenders relatively early in the cycle with firms exhibiting relatively early price discovery in the secondary loan market, documenting that price discovery is faster for loans subject to financial covenants, particularly earnings‐based covenants; for borrowers who experience covenant violations; for borrowers with high credit risk; and for loans syndicated by relationship‐based lenders or highly reputable lead arrangers. We then ask whether early access to private information in the loan market accelerates the speed of information arrival in stock prices. We document that the stock returns of firms identified with earlier private information dissemination to lenders indeed exhibit faster price discovery in the stock market, but only when institutional investors are involved in the firm's syndicated loans. Further, the positive relation between institutional lending and the speed of stock price discovery is more pronounced in relatively weak public disclosure environments. These results are consistent with institutional lenders systematically exploiting confidential syndicate information via trading in the equity market.     

Tiered Information Disclosure: An Empirical Analysis of the Advance Peek into the Michigan Index of Consumer Sentiment

This paper studies market microstructure implications of informed high‐frequency traders (HFTs) from two seconds of advance peek into the Michigan Index of Consumer Sentiment (ICS), provided by Thomson Reuters to its elite customers. Using individual stocks in the NASDAQ data set, we show how HFTs trade around ICS events. We find that liquidity demanders during two seconds of advance peek earn substantive profits, which are consistent with the notion that HFTs’ informational advantages may increase adverse selection costs for other market participants. This evidence elucidates the debate on regulatory oversight and its role in circumventing the potentially adverse effects from an advance peek into ICS.     

Price Movement Effects on the State of the Electronic Limit‐Order Book

This paper investigates public‐trader order‐placement strategies by examining the relations between the state of the limit‐order book and previous price movements. There is support for an information effect, as traders become more aggressive in buying and more patient in selling after previous positive stock returns. The widening of the bid‐ask spread also causes traders to place less aggressive orders. However, there is no evidence of the options effect on limit‐order trading. This study also reveals that orders at the best quotes react faster and complete the adjustment earlier than orders that are far away from the best quotes.     

Lifting the Veil: An Analysis of Pre-trade Transparency at the NYSE

We study pre‐trade transparency by looking at the introduction of NYSE's OpenBook service that provides limit‐order book information to traders off the exchange floor. We find that traders attempt to manage limit‐order exposure: They submit smaller orders and cancel orders faster. Specialists' participation rate and the depth they add to the quote decline. Liquidity increases in that the price impact of orders declines, and we find some improvement in the informational efficiency of prices. These results suggest that an increase in pre‐trade transparency affects investors' trading strategies and can improve certain dimensions of market quality.     

交易限制与股票市场定价效率——基于创业板涨跌幅限制放宽的准自然实验研究

本文基于2020年8月24日创业板涨跌幅限制由10%扩大到20%这一政策变化建立准自然实验,从市场层面与公司事件层面探讨交易限制放宽的外生冲击下市场定价效率的变化。研究发现,涨跌幅限制放宽政策实施后,股票价格能更灵敏地反映公开市场信息,更多地包含公司层面特质信息,整体市场定价效率显著提升。进一步研究表明,涨跌幅限制放宽有效缓解了交易干扰问题,避免了过度交易行为延后,缓解了波动性外溢与价格发现延迟。异质性分析表明,无论是市场层面定价效率改善,还是事件层面波动性外溢、价格发现推迟与交易干扰问题的缓解,均在低信息透明度公司中更为显著。本文研究发现为验证涨跌幅限制会抑制股票市场定价效率的理论提供了直接经验证据,同时为推广完善市场化交易制度提供了有益启示。     

Limit order books and trade informativeness

In the microstructure literature, information asymmetry is an important determinant of market liquidity. The classic setting is that uninformed dedicated liquidity suppliers charge price concessions when incoming market orders are likely to be informationally motivated. In limit order book (LOB) markets, however, this relationship is less clear, as market participants can switch roles, and freely choose to immediately demand or patiently supply liquidity by submitting either market or limit orders. We study the importance of information asymmetry in LOBs based on a recent sample of 30 German Deutscher Aktienindex (DAX) stocks. We find that Hasbrouck's (1991) measure of trade informativeness Granger causes book liquidity, in particular that required to fill large market orders. Picking-off risk due to public news-induced volatility is more important for top-of-the book liquidity supply. In our multivariate analysis, we control for volatility, trading volume, trading intensity and order imbalance to isolate the effect of trade informativeness on book liquidity.     

Price discovery of cross-listed firms

This paper examines the contribution of cross-listing to price discovery for a unique and comprehensive sample of firms listed abroad. Using an extended measure of the common factor weight, we find that foreign market contribution to price discovery is more important for multiple-listed firms compared to cross-listed ones. Our results also show that US exchanges are more conductive to price discovery than do foreign European markets. On a univariate regression, we find new evidence that order driven markets and those which are more integrated with the world contribute significantly to price discovery of stocks listed abroad. On a multivariate regression, information asymmetry measures seem to have the most important effect on foreign market contribution to price determination.     

Trading activities and price discovery in foreign currency futures markets

This study investigates the relation between trading activities and the price discovery efficacy of the futures markets for EUR–USD and JPY–USD. According to data pertaining to weekly positions, collected from the Commitments of Traders reports distributed by the Commodity Futures Trading Commission, the information share of currency futures markets declines with hedgers’ positions but increases with speculators’ positions. In addition, both hedgers’ expected and unexpected positions have negative impacts on the contribution of the futures market; the futures market’s information share relates positively to speculators’ expected positions but is uncorrelated with speculators’ unexpected positions.     

Private information flow and price discovery in the U.S. treasury market

Using intraday data, we identify the intensity of private information flow in the U.S. Treasury market. Our results show that the intensity of private information flow is highly correlated with public information shocks and higher for longer maturity bonds. More importantly, we find that bond price changes associated with high intensity of private information flow tend to be persistent, whereas those associated with low intensity of private information flow are more likely reversed. While public information and private information are the main determinants of bond price variations on days with news announcements, private information and liquidity shocks are important determinants of bond price variations on days with no significant events. Finally, we show that the depth of limit order book is inversely related to the intensity of private information flow. Nevertheless, informed dealers do not seem to use hidden orders to disguise their trading intentions.     

Financial analysts and price discovery

We show that whether or not a bank/brokerage firm has top‐rated financial analysts and high Wall Street Search rankings for their research is significantly related to that firm's contribution to price discovery, the process by which information is incorporated into stock prices. Our study relates cross‐sectional characteristics of the quality of brokerage research, the asymmetric information environment, and order flow volume to a microstructure measure of price discovery developed by Granger and Gonzalo. We measure analysts’ research quality with an industry‐specific ranking by institutional investors, with an opinion survey of trading desk personnel, and with the number of top 3 analysts across all industries employed by the bank/brokerage firm.     

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.     

Limit Order Trading

We analyze the rationale for limit order trading. Use of limit orders involves two risks: 1) an adverse information event can trigger an undesirable execution, and 2) favorable news can result in a desirable execution not being obtained. On the other hand, a paucity of limit orders can result in accentuated short-term price fluctuations that compensate a limit order trader. Our empirical tests suggest that trading via limit orders dominates trading via market orders for market participants with relatively well balanced portfolios, and that placing a network of buy and sell limit orders as a pure trading strategy is profitable.     

Trading activity and price discovery in Bitcoin futures markets

This study examines the impact of trading activities on price discovery in the Bitcoin futures markets. We find that trades of hedgers are positively correlated with the modified information shares in both CME and CBOE futures markets, suggesting that their trading promotes futures market efficiency. Retailers’ trading activity relates negatively to the price discovery of the CME Bitcoin futures and thus destabilizes the market. Speculators exert positive (negative) impact on the price discovery in the CME (CBOE) Bitcoin futures. Our finding that CME’s Bitcoin futures exhibit superior price discovery than CBOE’s provides plausible justification for CBOE’s decision in March 2019 to suspend further listings of Bitcoin futures contracts.     

International Price Discovery for Emerging Market Stocks: Evidence from Indian GDRs

Given the rapid increase of the number of emerging market stocks being dually listed abroad, it is important to understand the role of the foreign markets in the price discovery process. We examine this issue by studying the role of the London Global Depositary Receipts (GDR) market for Indian stocks. We find that the London and the Mumbai prices are cointegrated despite arbitrage restrictions imposed by Indian government regulations. Each market contributes almost equally to price discovery, a result in contrast to the small contribution of offshore markets to price discovery of stocks based in developed economies. The GDR market's contribution to price discovery increases with the foreign ownership of the firm and GDR issue size. We also find evidence of significant volatility spillovers from the London market to the Indian market. The overall results suggest that offshore trading in emerging market stocks play a beneficial role by aiding domestic price discovery.     

Are all odd-lots the same? Odd-lot transactions by order submission and trader type

We study odd-lot trading and determine if an odd-lot trade results from odd-lot orders or if odd-lots are a result of orders broken into multiple trades. We confirm that odd-lot transactions contribute to price discovery. Our finding that odd-lot transactions contain substantial information is not being driven by orders that are originally larger than 100 shares and subsequently divided into odd-lot transactions. We further find that odd-lot transactions resulting from odd-lot orders add more to price discovery than odd-lot transactions resulting from orders for 100 or more shares. Additionally, we find that more price contribution occurs when non-high frequency traders trade in an odd-lot transaction.     

Size Effects in the Pricing of Corporate Bonds

Large orders for corporate bonds get preferential treatment unlike large orders for stocks on the NYSE. A structural explanation, namely, that the corporate bond market is dealer‐dominated, has been offered for the favorable pricing. In this paper, we offer an additional explanation, namely, that the improved pricing for large orders is due to the net impact such orders have on a market maker's costs. Using a data sample that is substantially free of timing mismatch, we support our assertion by sorting the sample into ‘brokered’ trades, which are trades where the dealer merely crosses buy and sell orders and ‘inventoried’ trades, where the dealer trades out of his inventory. We find that large orders raise information costs, but lower inventory costs for ‘inventoried’ trades. The net result is a smaller price advantage than received by large orders on ‘brokered’ trades which are not subject to these costs.     

Information shares in a two-tier FX market

Using several measures of information share, we examine price discovery across the inter-dealer and dealer–customer market tiers in the currencies market. In the spot market, the information share of the inter-dealer tier is higher than that of the dealer–customer one for non-financial sector trades and is lower than the dealer–customer tier for foreign investors’ sell trades. In the forward market, the dealer–customer tier generally has the greater information share at the dealer’s buy side. Our results indicate the market where customers’ trades are the most informative and demonstrate how exogenous events affect price discovery across markets and market tiers.