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.     

Automating german equity trading: Bid-ask spreads on competing systems

As a result of automating trading in the most active German stocks, data on bid-ask spreads on three competing system—IBIS, MATIS, and SEAQ International—have become available. The intraday pattern of spreads suggests a mid-session effect and a home-market effect. Contrary to what one might expect, the spreads for identical stocks differ substantially from system to system. Paradoxically, the system with the lowest spreads, MATIS, did not attract most of the volume. Actually, its market share declined. In an attempt to explain the MATIS paradox we hypothesize that bid-ask spreads compensate the market maker for a bundle of several transaction services of which providing immediacy is merely one. This complicates both national and international spread comparisons and has implications for the decomposition of observed bid-ask spreads.     

The competitive effects of US decimalization: Evidence from the US-listed Canadian stocks

This paper analyzes the impact of US decimalization on the Canadian stocks listed on the Toronto Stock Exchange (TSE) and either the New York Stock Exchange (NYSE) or National Association of Securities Dealers Automated Quotation System (Nasdaq) in the US. Using a sample of 126 firms, we find that the US trading of these stocks increases after decimalization, but this increase is not at the expense of TSE volume. Indeed, the TSE volume increases substantially for those securities that are traded on Nasdaq and increases marginally for those securities that are traded on the NYSE. Most of the increase in volume is in retail-sized trades. The bid–ask spreads and the quote depths decline on all exchanges, but by a greater amount in the US than in Canada. The depths on the NYSE decline from being above the TSE depths to well below the TSE depths. We also find that the decline in the TSE spread is directly related to the size of the firm and to the decline in the US spread, and is inversely related to the pre-decimalization ratio of spreads on the US exchange and the TSE. Overall, our results indicate that the US decimalization had the desired positive impact on trading in both the US and Canada, with a decrease in spreads and an increase in retail-sized trading.     

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.     

Why do security prices change? A transaction-level analysis of NYSE stocks

This article develops and tests a structural model of intradayprice formation that embodies public information shocks andmicrostructure effects. We use the model to analyze intradaypatterns in bid-ask spreads, price volatility, transaction costs,and return and quote auto-correlations, and to construct metricsfor price discovery and effective trading costs. Informationasymmetry and uncertainty over fundamentals decrease over theday, although transaction costs increase. The results help explainthe U-shaped pattern in intraday bid-ask spreads and volatility,and are also consistent with the intra-day decline in the varianceof ask price changes.     

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.     

Liquidity Provision and Noise Trading: Evidence from the "Investment Dartboard" Column

How does increased noise trading affect market liquidity and trading costs? We use The Wall Street Journal's “Investment Dartboard” column, which stimulates noise trading, as a natural experiment to evaluate models of the bid-ask spread. We find that substantial increases in trading volume and significant but temporary abnormal returns occur when analysts recommend stocks in this column, especially when recommendations come from analysts with successful contest track records. We also find an increase in liquidity and a decrease in the adverse selection component of the bid-ask spread.     

Cross-Border Listings and Price Discovery: Evidence from U.S.-Listed Canadian Stocks

We examine the contribution of cross-listings to price discovery for a sample of Canadian stocks listed on both the Toronto Stock Exchange (TSE) and a U.S. exchange. We find that prices on the TSE and U.S. exchange are cointegrated and mutually adjusting. The U.S. share of price discovery ranges from 0.2 percent to 98.2 percent, with an average of 38.1 percent. The U.S. share is directly related to the U.S. share of trading and to the ratio of proportions of informative trades on the U.S. exchange and the TSE, and inversely related to the ratio of bid-ask spreads.     

The Effectiveness of Technical Trading for Arab Stocks

In this paper, we examine the profitability of technical analysis for a cross section of individual Arab stocks. Our analysis, undertaken from the perspective of an Islamic investor, reveals that technical trading rules do not yield economically or statistically significant returns. While our results uncover some scant statistical evidence of technical trading rule profitability, risk adjusting the returns weakens the evidence in favor of predictability. Furthermore, break-even transaction costs do not exceed estimated transaction costs or bid-ask spreads in the markets examined.     

Order flow, bid-ask spread and trading density in foreign exchange markets

This paper examines the implications of market microstructure for foreign exchange markets. We argue that the usual order flow model needs to be recast in broader terms to incorporate the transaction costs of liquidity and the limitation of price discovery through order flows that involve low trading density currencies. Using a daily data set, we find that order flows are inadequate when it comes to explaining the changes in the low trading density currencies. Alternatively, within the high trading density, both order flows and bid-ask spreads significantly affect the foreign exchange rate returns. Our findings suggest that the order flow model is better at incorporating these microstructure effects except for some currencies with a very high level of trading density.     

Exchange rate risk and transactions costs: Evidence from bid-ask spreads

This paper develops a model of exchange rate bid-ask spreads which is used to examine the relationship between exchange rate risk and volatility and to measure transactions costs. The empirical results indicate that market-makers judge the probability of exchange rate changes based on both recent and long-term volatility and that the second moment alone is not a complete measure of volatility. While a proxy for trading volume does not have the expected relationship with spreads, weekend and holiday effects conform to theory. Transactions costs vary over time and seem responsive to the imposition of exchange controls.     

A change in market microstructure: the switch to electronic screen trading on the New Zealand stock exchange

The New Zealand Stock Exchange (NZSE) switched from open outcry trading to an electronic screen trading system on June 24, 1991. The change was made by the members of the exchange to improve the trading system and to reduce costs. This paper investigates empirically whether improvement was achieved through a reduction in transaction costs. The tests and results focus on order-flow migration to the exchange from alternative execution locations and changes in bid-ask spreads. On balance, we conclude that transaction costs have declined.     

Effects of the volatility smile on exchange settlement practices: The Hong Kong case

The well-documented volatility smile phenomenon in the US options market has affected the option settlement practices of other markets. To settle Hang Seng Index (HSI) options, the Hong Kong Stock Exchange artificially builds in a piecewise linear “smile” or “sneer” volatility function, which is determined daily by market makers rather than directly by market forces. In this study, we investigate the time-varying settlement function and find the following economic determinants of the volatility function: lag parameters, current-day HSI returns, the distribution of HSI returns, transaction costs as proxied by the bid-ask spread, and the “Monday effect”. For evaluation purposes, we use as a benchmark the estimated piecewise linear volatility function as directly driven by market forces. The comparison analyses show that base volatilities set by market makers run somewhat high, while downside slopes are not steep enough. This results in the overpricing of the lion’s share of traded options. An economic determinants analysis of market-force-driven parameters reveals that market makers can better align artificial volatility parameters both by reducing reliance on the function parameters of prior days and by more precisely accounting for current-day HSI returns, option time-to-maturity, bid-ask spreads and buying pressure.     

Bid-ask Spreads, Trading Volume and Volatility: Intra-day Evidence from the London Stock Exchange

This paper examines intra-day variations in the bid-ask spread, volatility and volume for stocks traded on the London Stock Exchange. The data set used consists of quote and transactions data for a large sample of 835 stocks traded during the first quarter of 1991. The focus of the study is twofold; first, is to document a number of stylized facts regarding the intra-day behaviour of spread, trading volume, volatility etc. Second, the paper tests some predictions of two theoretical models of intra-day behaviour: the Admati and Pfleiderer and the Brock and Kleidon models. In addition, the paper also studies qualitatively the intra-day behaviour of several variables of interest including volume per transaction, transactions per fifteen-minute interval and spreads/trading volume for stocks of differing liquidity. The results suggest that the bid-ask spread is wide at the open, constant through the day and rises slightly at the close. Trading volume, in contrast is not highest at the open and the close. Volatility, based on the mid-point of the inside spread, shows a U-shaped pattern. Volume per transaction, in contrast, is fairly constant throughout the day. Further, the intra-day trading volume pattern differs for liquid and illiquid stocks. The results provide mixed support for current theoretical models of intra-day behaviour of spread, volume and volatility on the London Stock Exchange     

Market structure and microstructure, in international interest rate futures markets

We examine the role of market structure in identifying microstructure features of the NYSE.Euronext-LIFFE STIR futures market by comparing the ability of two bid-ask spread component models to explain bid-ask spreads. These two models differ only in their assumptions about whether or not market makers are present. The period we analyze includes data from pit-based trading alongside electronic market data. We explore how market structure affects the way private information influences bid-ask spreads and return volatility. A second part of our study employs intraday correlation to investigate these links in greater depth, while a third part looks at how private information and trading noise contribute to price evolution.     

Trading Frictions and Market Structure: An Empirical Analysis

Abstract:  Market structure affects the informational and real frictions faced by traders in equity markets. Using bid-ask spreads, we present evidence which suggests that while real frictions associated with the costs of supplying immediacy are less in order-driven systems, informational frictions resulting from increased adverse selection risk are considerably higher in these markets. Firm value, transaction size and order location are all major determinants of the trading costs borne by investors. Consistent with the stealth trading hypothesis of Barclay and Warner (1993) , we report that informational frictions are at their highest for medium size trades that go through the order book. Finally, while there is no doubt that the total costs of trading on order-driven systems are lower for very liquid securities, the inherent informational inefficiencies of the trading format should not be ignored. This is particularly true for the vast majority of small to mid-size stocks that experience infrequent trading and low transaction volume.     

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.     

Liquidity of the CBOE Equity Options

We examine the CBOE option market depth and bid-ask spreads. Absence of price effects surrounding large option trades suggests excellent market depth. However, bid-ask spreads for the CBOE options and the NYSE stocks are nearly equal, even though an average option is equivalent to less than half a stock plus borrowing. We explain this tradeoff between market depth and bid-ask spreads on the CBOE and the NYSE by differences in market mechanisms. We also show that the adverse-selection component of the option spread, which measures the extent of information-related trading on the CBOE, is very small.     

Market structure and bid-ask spreads: IBIS vs Nasdaq

A comparison is made between the bid-ask spreads of 30 high volume German stocks traded on IBIS and 30 high volume US stocks traded on Nasdaq. IBIS and Nasdaq are best described as agency and dealer auction markets, respectively. On average, the market spread for these IBIS and Nasdaq stocks is the same, but for the 10 most active stocks in each market, IBIS spreads are considerably lower. For these latter stocks, IBIS spreads change in a predictable manner throughout the day. Nasdaq spreads do not. The critical factor appears to be the unrestricted access of suppliers of immediacy that is distinctive for agency auction markets.     

Competitive inventory management in Treasury markets

We decompose US Treasury bid-ask spreads into inventory, adverse selection and order processing costs by using the fact that inventory trades have different effects on spreads than do proprietary trades. We exploit this asymmetry and develop a technique to identify the three components of the spread in order to test three hypotheses: dealers make larger changes to inventory (1) following macroeconomic announcements (2) at the start and toward the end of the New York trading hours, and (3) when transaction sizes are relatively large. We test these predictions using GovPX data for on-the-run 2-year and 10-year Treasury Notes. All three predictions are supported. We also assess how primary dealers react to the Federal Reserve’s open market operations (OMOs). Our findings reveal interesting intraday patterns in the inventory component for both securities.