Trade size and components of the bid-ask spread

The relation between theorized components of the bid-ask spreadand trade size for a sample of NYSE firms is examined. We findthat the adverse selection component increases uniformly withtrade size. Conversely, order processing costs decrease withincreased in trade size for all but the largest trades. We findthat order persistence decreases with trade size. The adverseselection component is highest at the beginning of the day andlowest at the end of the day for all but the largest trades.Trades of NYSE firms executed on regional exchanges or NASDAQcontain a large order processing cost component but no significantadverse information effect.     

Estimating bid-ask spread components: Specialist versus multiple market maker systems

This paper tests two competing hypotheses concerning the relationship between adverse selection costs on NASDAQ versus specialist-dominated exchanges. We reject the hypothesis that specialist-dominated exchanges have smaller adverse selection costs than exchanges with multiple market makers. We provide direct evidence on the timing differences between closing transactions and quotes as well as evidence on the extent of nontrading on the AMEX and NYSE but cannot reject the hypothesis that adverse selection costs are a function of average transaction size (which is generally larger on the AMEX and NYSE). We also provide insight into institutional differences across exchanges and the ISSM data base.     

Asset pricing and the bid-ask spread

This paper studies the effect of the bid-ask spread on asset pricing. We analyze a model in which investors with different expected holding periods trade assets with different relative spreads. The resulting testable hypothesis is that market-observed expexted return is an increasing and concave function of the spread. We test this hypothesis, and the empirical results are consistent with the predictions of the model.     

Estimating the bid-ask spread in a heteroskedastic market: The case of foreign currency futures

Because the bid-ask spread often defies direct measurement, a serial covariance-based approach is frequently used to estimate it. We develop a new serial covariance estimator that exploits the relation of time-varying volatility to trading activity to obtain more precise estimates. The performance of Roll's (1984) estimator and the new estimator are compared using intraday data for four foreign currency futures. The new estimator finds currency futures spreads to be of economic significance—usually two to three ticks, or $25.00 to $37.50 per contract. A distinct maturity effect is present, with the lowest spreads occurring one to three months from expiration. While no evidence is found that the intraday spread changes near closing, the spread is larger near opening for some contracts four to six months from expiration.The University of Texas at Austin. We appreciate the comments of Katherine Daigle, Scott Irwin, Dan Quan, Barry Schachter, workshop participants at the University of Houston, and three anonymous referees. Part of this work was completed while Laux was visiting the Commodity Futures Trading Commission, and the support of the Commission is appreciated.     

Determinants of the components of bid-ask spreads on stocks

In this paper we show that George et al. (GKN, 1991) estimators of the adverse selection and order processing cost components of the bid-ask spread are biased due to intertemporal variations in the bid-ask spread. We use alternative estimators that correct this bias and that are applicable to individual securities, and estimate these cost components empirically using data on NYSE/AMEX stocks. As expected, our results indicate that on average adverse selection costs account for approximately 50% of the bid-ask spread, sharply higher than the estimates of 8-10% obtained by GKN for NASDAQ stocks and 21% that we obtain for NYSE/AMEX stocks using GKN's estimators. We then conduct cross-sectional regressions designed primarily to determine whether adverse selection costs vary across specialists after controlling for firm size and other factors. Consistent with previously established hypotheses, we find that adverse-selection costs vary across specialists, and that this variation is related to the number of securities that the specialist handles.     

Estimation of the bid - ask spread and its components: a new approach

We show that time variation in expected returns and/or partialprice adjustments lead to a downward bias in previous estimatorsof both the spread and its components. We introduce a new approachthat provides unbiased and efficient estimators of the componentsof the spread. We find that between 77 and 97 percent of thedownward bias in previous spread estimate is caused by timevariation in expected returns. More importantly, the adverse-selectioncomponent, though significant, accounts for a much smaller proportion(8 to 13 percent) of the quoted spread, at least for small trades,than the proportion (over 40 percent) previously reported inthe literature. Order processing costs are the predominant componentof quoted spreads.     

Entry, exit, market makers, and the bid-ask spread

The probability of entry and exit of dealers on the NASDAQ NationalMarket (NNM) is significantly affected by trading intensity,volatility and the quoted bid-ask spread. Entry and exit ofmarket makers is a pervasive phenomenon. Large-scale entry (exit)is associated with substantial declines (increases) in quotedend-of-day inside spreads, even after controlling for the effectsof changes in volume and volatility. The spread changes arelarger in magnitude for issues with few market makers; however,even for issues with a large number of market makers, substantialchanges in quoted spreads take place. The results are consistentwith the competitive model of dealer pricing.     

Currency bid-ask spread dynamics and the Asian crisis: Evidence across currency regimes

Using a sample of 21 emerging and developed country currencies, we evaluate the impact of the Asian crisis on bid-ask spreads. While the crisis had widespread and uniform volatility effects, the spread effects were not uniform across emerging and developed country currencies. For Asian emerging markets, spreads widened and spread volatility increased significantly during the crisis, while developed markets spreads narrowed and spread volatility decreased significantly. We investigate the impact of more flexible and less flexible exchange rate regimes on bid-ask spreads using panel data. In general, countries with tightly-managed regimes have significantly lower spreads than countries with more freely-floating regimes, while controlling for the influence of other factors such as volatility. Asian developing market spreads are higher than spreads of the other countries, again, after controlling for the influence of other factors.     

The no-arbitrage condition and financial markets with transaction costs and heterogeneous information: The bid-ask spread

This paper investigates the implications of the no-arbitrage (NA) condition in markets with transaction costs and heterogeneous information. Dermody and Prisman (1993) showed that, in financial markets with increasing marginal transaction costs, the NA condition is equivalent to the existence of a valuation operator. They explore the exact dependence of this operator on the structure of transaction costs. They show that equilibrium prices in the “corresponding” perfect markets plus a certain factor determine the valuation operator in markets with increasing marginal transaction costs. This paper emphasizes that their result is applicable to financial markets with decreasing marginal transaction costs. Furthermore, this paper shows that, in financial markets with transaction costs and heterogeneous information, the NA condition imposes a constraint on the bid-ask spread.     

Estimation of the effective bid-ask spread on high frequency Danish bond data

In this paper the effective bid-ask spread is estimated using 12 high frequency Danish bond samples. A clear-cut MA(1)-model for the mean of the return series, and a GARCH(1,1)-model for the variance, are found. Basically, Roll's model is used, but three different methods of calculating the first-order autocovariance are suggested. Each of these in turn produces three possible ways of estimating the effective bid-ask spread. First, Roll's original autocovariance estimate is used. Second, the autocovariance is calculating using the parameters of an estimated MA(1) model. Third, the autocovariance is obtained from the parameters of a joint MA(1)-GARCH(1,1) model. By means of bootstrapping the standard error of the bid-ask spread estimates are found. It is shown that the gain in efficiency, measured by the relative difference in the standard error of the estimates, is 29% when going from method one to method two, but only 1% when going from method two to method three. These results indicate that the extra gain in efficiency obtained by taking account of the MA(1) structure of the data is noteworthy, but the gain when incorporating the GARCH-effects is negligible.     

Optimal mean-reversion strategy in the presence of bid-ask spread and delays in capital allocations

A portfolio optimization problem for an investor who trades T-bills and a mean-reverting stock in the presence of proportional and convex transaction costs is considered. The proportional transaction cost represents a bid-ask spread, while the convex transaction cost is used to model delays in capital allocations. I utilize the historical bid-ask spread in US stock market and assume that the stock reverts on yearly basis, while an investor follows monthly changes in the stock price. It is found that proportional transaction cost has a relatively weak effect on the expected return and the Sharpe ratio of the investor's portfolio. Meantime, the presence of delays in capital allocations has a dramatic impact on the expected return and the Sharpe ratio of the investor's portfolio. I also find the robust optimal strategy in the presence of model uncertainty and show that the latter increases the effective risk aversion of the investor and makes her view the stock as more risky.     

Asymmetric information and the bid-ask spread: an empirical comparison between automated order execution and open outcry auction

This study examines the components of the bid-ask spread on the Sydney Futures Exchange. The Exchange uses open outcry auction for daytime trading, and switches to a screen-based automated order execution system at 16:30 h for overnight trading. After controlling for proxies of order flow characteristics, the study finds that screen-based traders are more sensitive to market volatility than floor-based traders in setting the bid-ask spread. Spreads from floor trading have a smaller adverse information component but a larger order processing cost component relative to screen trading. The results suggest that floor traders can better assess the presence of adverse information than screen traders.     

Penny pricing and the components of spread and depth changes

Recent studies show that decimal pricing led to significant reductions in the spread and depth on the NYSE. In this paper, we examine how the observed changes in the spread and depth can be attributed to different factors. We show that stocks with higher proportions of one-tick spreads and odd-sixteenth quotes, and more frequent trading before decimalization experienced larger declines in the spread and depth afterwards. We interpret this result as evidence of reduced binding constraints and increased price competition under decimal pricing. We also find that decimal pricing led to nontrivial changes in select stock attributes, and that these changes exerted an additional impact on spreads and depths. Our results suggest that sub-penny pricing may further reduce the spreads of high-volume, low-risk, or low-price stocks.     

Optimal mean-reverting spread trading: nonlinear integral equation approach

We study several optimal stopping problems that arise from trading a mean-reverting price spread over a finite horizon. Modeling the spread by the Ornstein–Uhlenbeck process, we analyze three different trading strategies: (i) the long-short strategy; (ii) the short-long strategy, and (iii) the chooser strategy, i.e. the trader can enter into the spread by taking either long or short position. In each of these cases, we solve an optimal double stopping problem to determine the optimal timing for starting and subsequently closing the position. We utilize the local time-space calculus of Peskir (J Theor Probab 18:499–535, 2005a) and derive the nonlinear integral equations of Volterra-type that uniquely characterize the boundaries associated with the optimal timing decisions in all three problems. These integral equations are used to numerically compute the optimal boundaries.     

The electronic trading systems and bid-ask spreads in the foreign exchange market

This paper examines the impact of electronic trading systems on the bid-ask spreads in the foreign exchange market. The paper finds: first, the EBS reduces spreads significantly; second, the EBS is more influential than the Reuters system for the currency pair DEM/USD; third, dealers with information advantage tend to quote relatively wider spreads with the new systems; fourth, geographical differences in market liquidity are reduced through the new systems, and finally, the effects occur immediately and persist in the long-term. Thus, both proposed positive and negative impacts of the electronic systems are found to be true in this paper, but our findings also suggest that positive effects dominate and the electronic systems overall increase FX market liquidity.     

The optimal bid-ask price strategies of high-frequency trading and the effect on market liquidity

We propose a model for determining the optimal bid-ask spread strategy by a high-frequency trader (HFT) who has an informational advantage and receives information about the true value of a security. We employ an information cost function that includes volatility and the volume of the asset. Subsequently, we characterize the optimal bid-ask price strategies and obtain a stable bid-ask spread. We assume that orders submitted by low-frequency traders (LFTs) and news events arrive at the market with Poisson processes. Additionally, our model supports the trading of the two-sided quote in one period. We find that more LFTs and a higher exchange latency both hurt market liquidity. The HFT prefers to choose a two-sided quote to gain more profits while cautiously chooses a one-sided quote during times of high volatility. The model generates some testable implications with supporting empirical evidence from the NASDAQ-OMX Nordic Market.     

Option pricing: A general equilibrium approach

This article examines option valuation in a general equilibrium framework. We focus on the general equilibrium implications of price dynamics for option valuation. The general equilibrium considerations allow us to derive an alternative option valuation formula that is as simple as the Black and Scholes formula, and that exhibits different behavior with respect to the exercise price and time to expiration. They also help us clarify comparative-statics properties of option valuation formulas in general and of the Black and Scholes model in particular.     

Measuring time-varying financial market integration: An unobserved components approach

We measure the time-varying degree of world stock market integration of five developed countries (Germany, France, UK, US, and Japan) over the period 1970:1–2011:10. Time-varying financial market integration of each country is measured through the conditional variances of the country-specific and common international risk premiums in equity excess returns. The country-specific and common risk premiums and their conditional variances are estimated from a latent factor decomposition through the use of state space methods that allow for GARCH errors. Our empirical results suggest that stock market integration has increased over the period 1970:1–2011:10 in all countries but Japan. And while there is a structural increase in stock market integration in four out of five countries, all countries also exhibit several shorter periods of disintegration (reversals), i.e. periods in which country-specific shocks play a more dominant role. Hence, stock market integration is measured as a dynamic process that is fluctuating in the short run while gradually increasing in the long run.