Insider Trading and the Bid-Ask Spread

This study examines the intertemporal and cross-sectional association between the bid-ask spread and insider trading. Empirical results from the cross-sectional regression analysis reveal that market makers establish larger spreads for stocks with a greater extent of insider trading. The time-series regression analysis, however, finds no evidence of spread changes on insider trading days. These results suggest that although market makers may not be able to detect insider trading when it occurs, they protect themselves by maintaining larger spreads for stocks with a greater tendency of insider trading. The results also reveal that market makers establish larger spreads when there are unusually large transactions. In addition, this study finds that spreads are positively associated with risk and negatively with trading volume, the number of exchange listings, share price, and firm size.     

THE IMPACT OF MARKET MAKER CONCENTRATION ON ADVERSE‐SELECTION COSTS FOR NASDAQ STOCKS

We examine the impact of market maker concentration on adverse‐selection costs for NASDAQ stocks and find that more market makers results in lower costs. Furthermore, this reduction in adverse selection exceeds the overall reduction in spreads that is attributable to market maker competition. We hypothesize that order flow internalization is increasing in market makers and allows for greater information production, and is an explanation for our findings. Our results provide an explanation for the puzzle documented by previous work that finds that adverse‐selection costs for NASDAQ tend to be lower than for the New York Stock Exchange, whereas spreads tend to be higher.     

Liquidity skewness

Bid–ask spreads in equities have declined on average but have become increasingly right-skewed. This finding holds across exchanges as well as size, price, and volume quartiles. Higher right-skewness is consistent with more competition among market makers; which may reduce cross-subsidization across periods of high and low asymmetric information, unlike a monopolistic regime that can maintain a relatively constant spread. Confirming this intuition, proportional differences in spreads between earnings announcements and normal periods have increased considerably even as trading costs have declined on average. Skewness also is cross-sectionally related to information proxies such as institutional holdings and analyst following.     

Market Maker Quotation Behavior and Pretrade Transparency

We examine the impact of differing levels of pretrade transparency on the quotation behavior of Nasdaq market makers. We find that market makers are more likely to quote on odd ticks, and to actively narrow the spread, when they can do so anonymously by posting limit orders on Electronic Communication Networks (ECNs). From a public policy perspective, our findings suggest that making the level of pretrade transparency on Nasdaq more opaque by allowing anonymous quotes could improve price competition and narrow spreads further.     

Market Making and Trading in Nasdaq Stocks

This paper examines the relations between the number of market makers, trading activity, and price improvement in Nasdaq stocks, using a model motivated by Grossman and Miller (1988). Results indicate a positive relation between the number of market makers and trading frequency, and that competition among market makers reduces effective bid-ask spreads. Results estimated using a simultaneous equations framework support the model predictions of Grossman and Miller. Results also indicate that trading frequency may be more important than trade size in determining the number of market makers.     

Quote disclosure and price discovery in multiple-dealer financial markets

We examine the effects of price disclosure on market performancein a continuous experimental multiple-dealer market in whichseven professional market makers trade a single security. Thedealers trade with one another and with computerized informedand liquidity traders. Our key comparison is between fully publicprice queues (pretrade transparent market) and bilateral quoting(pretrade opaque). We find that opening spreads are wider andtrading volume is lower in the opaque markets due to highersearch costs there. More importantly, however, higher searchcosts also induce more aggressive pricing strategies, so thatprice discovery is much faster in the opaque markets.     

THE RELATIONSHIP BETWEEN OTC BID-ASK SPREADS AND DEALER SIZE: THE IMPACT OF ORDER-PROCESSING AND DIVERSIFICATION COSTS

The effects of large transactions on OTC security dealers' bid-ask spreads are analyzed for stocks with different price levels. Because overhead expenses vary little with the value of transactions, economies of scale exist for dealers in higher-priced stocks. Thus, percentage bid-ask spreads decline with the price level of the stock. However, larger transactions entail larger order-clearing and inventory-adjustment costs. These costs may be particularly burdensome for smaller dealers with limited purchasing powers and abilities to diversify inexpensively. Consequently, smaller dealers charge higher spreads for trading high-priced stocks.     

THE DETERMINANTS OF MARKET BID ASK SPREADS ON THE AUSTRALIAN STOCK EXCHANGE: CROSS-SECTIONAL ANALYSIS

Prior research into the cost of trading on the Australian Stock Exchange has identified brokerage fees and the bid-ask spread as significant elements of total transaction costs. While an enormous volume of research has examined the determinants of spreads in US markets, no work has so far addressed the issue for the Australian market-place. Given the importance of spreads as a transaction cost, this work redresses this imbalance and at the same time provides evidence on whether alternative market structures underlying different exchanges give rise to differences in the determinants of spreads. Using prior US research as our benchmark, our results suggest that notwithstanding microstructure differences between the Australian and US exchanges, there are three fundamental determinants of spreads that transcend differences in the market-places. These are the level of trading activity, price volatility and stock price levels. Together these three factors account for up to 94% of the total cross-sectional variation in percentage bid ask spreads on the ASX.     

The Impact of Market Maker Competition on Nasdaq Spreads

This study utilizes a comprehensive database containing monthly information on the number of market makers for about 5,288 Nasdaq securities over an eight-year period to investigate the impact of competition on spreads. A variety of models are estimated in order to demonstrate the robustness of the results that include four specific findings: (1) the number of market makers has a negative and highly significant impact on spreads; (2) the relation is nonlinear with a decreasing impact by the marginal market maker; (3) Nasdaq spreads have been declining over time; and (4) structural changes in Nasdaq are associated with significant changes in the relationship between spread and the number of market makers. One improvement over the literature includes allowing endogenous competition through the use of instrumental variables.     

THE CROSS-SECTIONAL EFFECTS OF OPTION LISTING ON FIRM STOCK RETURN VARIANCES

We develop a set of hypotheses to explain cross-sectional differences in variance changes associated with option listing. Transactions variance is decomposed into three components: the bid-ask spread, return autocorrelations, and intrinsic variance. Each is investigated separately. We find support for hypotheses that link: (1) changes in dealer transactions costs to changes in the bid-ask spread following option listing; (2) changes in the quantity and quality of information and the value of new information to movements of the return autocorrelation structure toward zero; and (3) changes in trading volume and the clientele that trades the underlying security to changes in intrinsic variance following option listing.     

Dealer Markets Under Stress: The Performance of NASDAQ Market Makers During the November 15, 1991, Market Break

The liquidity of the NASDAQ market was seriously undermined during the crash on October 19, 1987, when bid-ask spreads widened dramatically and dealers reputedly withdrew from market making. This paper studies the liquidity of 36 NASDAQ issues on November 15, 1991, when average prices fell over 4%, representing the first major correction in the post-crash era. We find that bid-ask spreads, the percentage of dealers posting inside quotes, and trading volume remained virtually unaffected. Effective spreads were also largely unaffected, except for trades in excess of 1,000 shares among issues whose market makers avoided odd-eighth quotes. Our evidence implies that, unlike October 1987, the liquidity of the NASDAQ market did not deteriorate appreciably during this episode of unusual market stress.     

The Behavior of Bid–Ask Spreads and Volume in Options Markets during the Competition for Listings in 1999

In August 1999, U.S. exchanges began to compete directly for order flow in many options that had been exclusively listed on another exchange, shifting 37% of option volume to multiple‐listing status by the end of September. Effective and quoted bid–ask spreads decrease significantly after multiple listings with spreads generally maintaining their initial lower levels 1 year later. These results hold for both time series and pooled regressions and are robust. We reject that economies of scale in market making cause the decrease in spreads and support the view that interexchange competition reduces option transaction costs.     

Liquidity and firm characteristics: Evidence from mergers and acquisitions

We explore factors affecting liquidity by examining the relation between liquidity changes and changes in firm characteristics around mergers and acquisitions. We find that spreads decline as the number of analysts, number of shareholders, number of market makers, firm size, and volume increase or as volatility decreases. Increased volume and firm size, and decreased volatility, are associated with increased depth. We find no evidence diversifying and non-diversifying mergers affect liquidity differently. We note that mergers and acquisitions are associated with reductions, on average, in spreads but that the reductions are fully explained by the accompanying changes in firm characteristics.     

Time and dynamic volume–volatility relation

This paper examines volume and volatility dynamics by accounting for market activity measured by the time duration between two consecutive transactions. A time-consistent vector autoregressive (VAR) model is employed to test the dynamic relationship between return volatility and trades using intraday irregularly spaced transaction data. The model is used to identify the informed and uninformed components of return volatility and to estimate the speed of price adjustment to new information. It is found that volatility and volume are persistent and highly correlated with past volatility and volume. The time duration between trades has a negative effect on the volatility response to trades and correlation between trades. Consistent with microstructure theory, shorter time duration between trades implies higher probability of news arrival and higher volatility. Furthermore, bid–ask spreads are serially dependent and strongly affected by the informed trading and inventory costs.     

Making a Market with Spreads and Depths

Abstract:   In this paper we study the quote revision behavior of NASDAQ market makers by analyzing inter‐temporal changes in their spread and depth quotes. Using individual dealer quote and trade data for a sample of 2,319 stocks, we find that NASDAQ dealers make more frequent revisions in depths than in spreads and the extent of liquidity management is greater for stocks of smaller companies, lower‐priced stocks, and stocks with larger trade sizes and fewer number of transactions. We show that intraday variation in the number of quote revisions follows the U‐shaped pattern, indicating that the extent of liquidity management is greater during the early and late hours of trading than during midday.     

Multimarket trading and liquidity: a transaction data analysis of Canada–US interlistings

We use transaction data for Toronto Stock Exchange (TSE) listed stocks to examine the impact on trading costs of the decision to interlist on a US exchange. We measure trading costs using both ‘posted’ bid-ask spreads and ‘effective’ bid-ask spreads that measure actual transaction prices relative to standing bid-ask quotes. After controlling for price level, trade size and trading volume effects, we find that overall posted and effective spreads in the domestic (TSE) market decrease subsequent to the interlisting. However, the decrease in trading costs is concentrated in those TSE stocks that experience a significant shift of total trading volume (TSE and US) to the US exchange after listing. We interpret this result in the context of theories of multimarket trading as a competitive response by TSE market makers to the additional presence of US market makers.     

Automation, speed, and stock market quality: The NYSE's Hybrid

Automation and trading speed are increasingly important aspects of competition among financial markets. Yet we know little about how changing a market's automation and speed affects the cost of immediacy and price discovery, two key dimensions of market quality. At the end of 2006 the New York Stock Exchange introduced its Hybrid Market, increasing automation and reducing the execution time for market orders from 10 seconds to less than one second. We find that the change raises the cost of immediacy (bid-ask spreads) because of increased adverse selection and reduces the noise in prices, making prices more efficient.     

Intradaily Price-Volume Adjustments of NYSE Stocks to Unexpected Earnings

The speed and path of adjustment in stocks to the degree of earnings surprise in their quarterly announcements are studied using price-volume transactions data. A differential price-adjustmentp rocess was observed,w ith stocks having large,p ositive earnings surprises experiencing a faster adjustment compared with those stocks with negative earnings surprises. Volume, transaction frequency, and size were found to be directly related to the absolute degree of surprise,b ut very favorablee arnings-surprises tocks experienced initially a large number of smaller trades while stocks with large unfavorable earnings surprises had relatively fewer transactions but higher volume per trade.     

The Making of a Dealer Market: From Entry to Equilibrium in the Trading of Nasdaq Stocks

This paper provides an analysis of the nature and evolution of a dealer market for Nasdaq stocks. Despite size differences in sample stocks, there is a surprising consistency to their trading. One dealer tends to dominate trading in a stock. Markets are concentrated and spreads are increasing in the volume and market share of the dominant dealer. Entry and exit are ubiquitous. Exiting dealers are those with very low profits and trading volume. Entering market makers fail to capture a meaningful share of trading or profits. Thus, free entry does little to improve the competitive nature of the market as entering dealers have little impact. We find, however, that for small stocks, the Nasdaq dealer market is being more competitive than the specialist market.     

Competition on the Nasdaq and the growth of electronic communication networks

This paper examines the growth of electronic communication networks (ECNs) and their competitive impact on the Nasdaq. We find that the development of these alternative trading platforms is associated with tighter quoted, effective, and relative bid–ask spreads, greater depths, and less concentrated markets. Further, our results show that an increase in ECN trading may have caused some traditional market makers (wholesaler and national retail dealers) to exit the market for market making. Overall, our results suggest that ECNs provide a source of competition to traditional Nasdaq dealers.