Order submission strategies,liquidity supply,and trading in pennies on the New York Stock Exchange

We use NYSE system order data to conduct a controlled experiment examining changes in trader behavior, displayed liquidity supply, and execution quality around the reduction in the minimum price variation to $0.01. Although traders do not substantially reduce their use of traditional limit orders in favor of market orders or non-displayed orders, they do decrease limit order size and cancel limit orders more frequently after decimals than before. These changes in order submission strategy appear to result in less displayed liquidity throughout the limit order book more than 15 cents from the quote midpoint. This reduction in displayed liquidity, however, does not manifest itself in poor execution quality. Even for large system orders, traditional execution quality is not worse with decimals than with fractions.     

Liquidity in auction and specialist market structures: Evidence from the Italian bourse

Several studies find that bid-ask spreads for stocks listed on the NYSE are lower than for stocks listed on NASDAQ. While this suggests that specialist market structures provide greater liquidity than competing dealer markets, the nature of trading on the NYSE, which comprises a specialist competing with limit order flow, obfuscates the comparison. In 2001, a structural change was implemented on the Italian Bourse. Many stocks that traded in an auction market switched to a specialist market, where the specialist controls order flow. Results confirm that liquidity is significantly improved when stocks commence trading in the specialist market. Analysis of the components of the bid-ask spread reveal that the adverse selection component of the spread is significantly reduced. This evidence suggests that specialist market structures provide greater liquidity to market participants.     

NYSE order flow,spreads, and information

This paper uses unique NYSE audit trail data to evaluate spreads and information content for different order types. Actual spreads are positive for liquidity-demanding orders and negative for liquidity-supplying orders after controlling for order direction. However, because a large fraction of liquidity-demanding orders get price improvement, the actual spread for liquidity-demanding orders is up to 50 percent less than the Lee and Ready (1991) algorithm would suggest. Regression results show that the order composition of trades affects traditional measures of spreads and information. They also show that NYSE non-displayed liquidity reduces trading costs facing market orders, and that liquidity-demanding floor broker orders are the most informative order type.     

A tale of two time zones: The impact of substitutes on cross-listed stock liquidity

This article examines how the market quality of European cross-listed stocks is affected by the partial-day availability of close substitutes, i.e., shares of the same companies that are traded in their home markets but are not fully fungible with the cross-listed shares. Our findings suggest that narrower spreads and more competitive liquidity provision during overlapping trading hours reflect a significant impact from the availability of more substitutes in addition to the enhanced information environment and liquidity externalities when home markets are open. Our results also provide a richer picture of specialists’ intraday activities and offer new evidence of market integration.     

MARKET REACTION TO NYSE LISTINGS: TESTS OF THE MARKETABILITY GAINS HYPOTHESIS

This study examines the market reaction to listing on the New York Stock Exchange (NYSE). The marketability gains hypothesis states that investors expect liquidity gains for the less liquid over-the-counter (OTC) stocks but not for their liquid counterparts after their listing on the NYSE. The hypothesis is supported even after accounting for other firm-specific news releases. Stocks with low liquidity on the OTC exhibit a positive reaction, whereas stocks with high liquidity show a non-positive market reaction around the announcement of the listing application. The findings imply that the two different marketplaces, NYSE and OTC, are suitable for stocks with different liquidity characteristics.     

UNLISTED TRADING PRIVILEGES,LIQUIDITY, AND STOCK RETURNS

In this study we examine the effect of dual trading through unlisted trading privileges (UTPs) on liquidity and stock returns. Stocks with UTPs trade in a different market structure than stocks listed and traded only on the AMEX and NYSE. Differences in market structure may affect stock returns through liquidity services provided by the competing markets. The sample comprises 852 AMEX and NYSE firms that began unlisted trading on the Philadelphia, Pacific, Midwest, or Cincinnati exchanges between 1984 and 1988. The results show significantly positive abnormal returns around the SEC's announcement of a regional exchange's filing for UTPs. The results also suggest that increased competition improves trading liquidity. Only stocks with low liquidity before UTPs announcements experience significantly improved liquidity and positive stock returns.     

Intraday Variation in the Bid-Ask Spread: Evidence after the Market Reform

In this article we show that intraday variation in spreads for Nasdaq‐listed stocks has converged to intraday variation in spreads for NYSE‐listed stocks after the implementation of the new order‐handling rules. We attribute this convergence to the Limit Order Display Rule, which requires that limit orders be displayed in Nasdaq best bid and offer when they are better than quotes posted by market makers. Our findings suggest that the different patterns of intraday spreads between NYSE and Nasdaq stocks reported in prior studies can largely be attributed to the different treatment of limit orders between the NYSE and Nasdaq before the market reform.     

The trades of NYSE floor brokers

This paper studies the contribution of NYSE floor brokers to the Exchange's agency auction market. Floor brokers represent 44%, specialists 11%, and system orders 45% of the value of all executed orders in our sample. We analyze how the cross-sectional distribution of floor broker trading depends on liquidity, block volume, on- and off-exchange competition, volatility, and order flow internalization. Floor brokers participate in large trades, primarily in liquid stocks, and they trade more when volatility is high. They provide two-sided liquidity to the market and often provide liquidity that would otherwise have been supplied by NYSE specialists.     

Commonality in liquidity: Evidence from the Australian Stock Exchange

Several studies have reported strong evidence of commonality in liquidity in US markets. The present study uses the research design of Chordia et al. (2000) to examine commonality in liquidity for a broad sample of stocks listed on the Australian Stock Exchange (ASX). In contrast to previous research, there is some evidence of market‐wide commonality in liquidity for ASX stocks, but it is less significant and less pervasive than that observed in other markets. These results are consistent with explanations based on differences in market structure between the USA and Australia.     

Quote-based competition and trade execution costs in NYSE-listed stocks

This study examines quotations, order routing, and trade execution costs for seven markets that compete for orders in large-capitalization NYSE-listed stocks. The competitiveness of quote updates from each market varies with measures of the profitability of attracting additional order and with volatility and inventory measures. The probability of a trade executing on each market increases when the market posts competitive quotes. Execution costs for non-NYSE trades when the local market posts competitive (non-competitive) quotes are virtually the same (substantially exceed) costs for matched NYSE trades. Collectively, these results imply a significant degree of quote-based competition for order flow and are consistent with off-NYSE liquidity providers using competitive quotations to signal when they are prepared to give better-than-normal trade executions.     

Informed trading and liquidity in the Shanghai Stock Exchange

Dufour and Engle (J. Finance (2000) 2467) find evidence of increased presence of informed traders when the NYSE markets are most active. No such evidence, however, can be found by Manganelli (J. Financial Markets (2005) 377) for the infrequently traded stocks. This article investigates the issue of informed trading and its relation to liquidity in Shanghai Stock Exchange. Consistent with the hypothesis that information-based trade exists for all stocks, our findings suggest an increased presence of informed trading in both liquid and illiquid stocks when markets are active. Moreover, for the actively traded stocks, our results support the price formation model of Foster and Viswanathan (Rev. Financial Studies (1990) 593) that activities of informed traders deter uninformed investors from trading, thereby reducing market liquidity.     

EXCHANGE LISTING AND STOCK LIQUIDITY

Two measures are used to estimate the liquidity of stocks that switch their places of trading (from OTC to NYSE, from OTC to AMEX, and from AMEX to NYSE). Using an event-type methodology, results are obtained that indicate a decline in liquidity for stocks leaving the OTC market. Stocks switching from the AMEX to the NYSE experience an initial increase in liquidity, followed by a decline almost to previous levels.     

The Impact of Company Pre-Listing Attributes on the Market Reaction to NYSE Listings

This study examines the market behavior of common stocks transferring from the NASDAQ stock market to the New York Stock Exchange from 1982 to 1989. Using event study methodology, the study tests the joint liquidity-signaling hypothesis that a stock's pre-listing liquidity and earnings per share (EPS) growth (a proxy for signaling) affect the market behavior around NYSE listings. The results show that the market responds more favorably to stocks with low liquidity and high signaling than to stocks with high liquidity and low signaling before listing. Stocks in the former group do not have an anomalous pattern of negative post-listing abnormal returns.     

Herd behavior and equity market liquidity: Evidence from major markets

This paper provides new evidence on the relation between herd behavior and equity market liquidity, an issue that has been neglected when it comes to studying herd behavior towards the consensus. We use equity price data for the G5 markets, and initially find no evidence of herding. When, however, we condition on the liquidity of stocks we find significant evidence of herd behavior for high liquidity stocks, for most countries, a result robust to different definitions of the crisis period and different measures of liquidity. The only exception is Germany for which there is weaker evidence of herding in high liquidity stocks. Variance decomposition tests indicate that the variance of the average equity market liquidity is affected by return clustering, especially during the crisis and post-crisis period an effect that is more pronounced for the US market.     

The flash crash: An examination of shareholder wealth and market quality

We investigate stock returns, market quality, and options market activity around the flash crash of May 6, 2010. Abnormal returns are negative on the day of and the day after the flash crash for stocks that had trades that executed during the crash subsequently cancelled by either Nasdaq or NYSE Arca. Consistent with studies that suggest that other sources of liquidity withdrew from the markets during the flash crash, we find that the fraction of trades executed by the NYSE increases during this volatile period. Market quality deteriorates following the flash crash as bid-ask spreads increase and quote depths decrease. Evidence from the options markets indicates that investor uncertainty increased around the time of the crash and remained elevated for several days.     

Quotes,Order Flow,and Price Discovery

The goal of this article is to examine the impact of 1975 Congressional mandate to integrate the trading of NYSE-listed stocks. The conclusions are: most of the time, the New York Stock Exchange (NYSE) quote matches or determines the best displayed quote, and the NYSE is the most frequent initiator of quote changes. Non-NYSE markets attract a significant portion of their volume when they are posting inferior bids or offers, indicating they obtain order flow for other reasons, such as “payment for order flow.” Yet, when a non-NYSE market does post a better bid or offer, it does attract additional order flow.     

The role of trades in price convergence: A study of dual-listed Canadian stocks

We examine the role of trades in restoring price parity for equities trading in multiple markets. Using a sample of stocks trading on the Toronto Stock Exchange and on the NYSE, AMEX or NASDAQ, we contrast price convergence when market makers (a) observe only lagged quotes from both markets and (b) also observe local order flow. Traditional error correction model estimates show that prices in the two markets adjust towards parity in response to quoted price discrepancies, meaning that observation of the cross-market quote helps restore parity. Including order flow in an augmented error correction model, we find that incremental price convergence occurs when trades are routed to the market with the better price, and the importance of quotes in the price convergence process is reduced. Cross-sectional analysis reveals that the importance of order flow in each market is decreasing in firm size and increasing in measures of liquidity. Our findings point to an important, and hitherto unexamined, role for trades in promoting inter-market price convergence.     

Is there Value-Added Information in Liquidity and Risk Premiums?

Size has become a significant factor in explaining returns. According to the size effect, smaller capitalization stocks on average outperform larger capitalization stocks over long periods of time. This paper first documents the traditional size effect on the French market for the 1986–1998 period. It introduces a new proxy for size, free float, which is argued to be the appropriate measure of size and liquidity for most non‐US markets. Evidence is presented of a negative link between historical returns and free float. The link is significant even outside of the month of January, a notable divergence from results obtained on the NYSE. The rest of the paper is an attempt to take advantage of this 'ex‐post' phenomenon on an 'ex‐ante' basis, with an empirical study of the link between expected return, risk, and liquidity in a sample consisting of the main 150 stocks quoted on the Paris Bourse between January 1986 and January 1998. Liquidity premiums are estimated for portfolios from both a univariate and a multivariate perspective. The paper shows how risk and liquidity premiums can be used separately or in tandem for market timing and asset allocation. In all cases, the use of both premiums together leads to superior performance. Results confirm our measurements of liquidity and liquidity premiums and supply evidence that liquidity premiums together with risk premiums are useful in active asset management.     

Limited Attention and the Allocation of Effort in Securities Trading

While limited attention has been analyzed in a variety of economic and psychological settings, its impact on financial markets is not well understood. In this paper, we examine individual NYSE specialist portfolios and test whether liquidity provision is affected as specialists allocate their attention across stocks. Our results indicate that specialists allocate effort toward their most active stocks during periods of increased activity, resulting in less frequent price improvement and increased transaction costs for their remaining assigned stocks. Thus, the allocation of effort due to limited attention has a significant impact on liquidity provision in securities markets.     

French and U.S. trading of cross-listed stocks around the period of U.S. decimalization: Volume, spreads, and depth effects

We analyze how U.S. decimalization affects stocks cross-listed in France (Euronext) and the U.S. (NYSE). The French stocks examined are much larger than the non-U.S. stocks examined in prior studies of decimalization, and their U.S. trading is likely to be dominated by institutions. So, we explore whether a reduction in depths in the U.S. due to decimalization makes the U.S. market less competitive for institutions trading these French stocks. We find evidence consistent with the above. First, the average NYSE trade size for these stocks relative to that on Euronext declines substantially after decimalization. Second, we categorize individual trades by the number of shares traded. We find that mainly driven by large trades, the NYSE proportion of trading of French firms declines markedly after decimalization. Third, using regression analysis, we find that the decline in the U.S. share of institutional trading volume is significantly positively related with the decline in NYSE depths relative to Euronext, and the decline is greater for French firms. Overall, we find consistent results indicating a migration of institutional order flow in French firms to France after NYSE decimalization. Also, intraday analysis indicates that the institutional volume in both France and the U.S. is greatest when both the markets are open.