The Total Cost of Transactions on the NYSE

This paper develops a measure of execution costs (market impact) of transactions on the NYSE. The measure is the volume-weighted average price over the trading day. It yields results that are less biased than measures that use single prices, such as closes. The paper then applies this measure to a data set containing more than 14,000 actual trades. We show that total transaction costs, commission plus market impact costs, average twenty-three basis points of principal value for our sample. Commission costs, averaging eighteen basis points, are considerably higher than execution costs, which average five basis points. They vary slightly across brokers and significantly across money managers. Though brokers do not incur consistently high or low transaction costs, money managers experience persistently high or lost costs. Finally, the paper explores the possible tradeoff between commission expenditures and market impact costs. Paying higher commissions does not yield commensurately lower execution costs, even after adjusting for trade difficulty. We cannot determine whether other valuable brokerage services are being purchased with higher commission payments or whether some money managers really are inefficient consumers of brokerage trading services.     

Execution Costs of Institutional Equity Orders

We compare institutional execution costs across the major U.S. exchanges using a sample of institutional equity orders in firms that switch exchanges. Execution costs including commissions are essentially indistinguishable across these exchanges. We also find the fraction of trading volume from momentum traders is greater on the NYSE than on either the Nasdaq or AMEX and that orders are more likely to be worked by an institution's trading desk on the NYSE than on the Nasdaq. These results suggest that institutions actively manage execution strategies, taking into account characteristics of the markets in which they trade.Journal of Economic Literature Classification Numbers: G10, G19, G20, G23.     

Transaction costs in an illiquid order‐driven market

Transaction costs in many international equity markets are much larger than those in the USA. This raises questions such as what trade size these reported trading costs relate to and whether investors can reduce trading costs by timing their trades. We show, using data from the order‐driven New Zealand market, that transaction costs are frequently lower for larger trades, particularly in small stocks, and investors are able to reduce costs by timing their transactions. While investors who require immediate execution incur transaction costs that are much higher than reported average costs, patient investors can trade at much better rates.     

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.     

Competition between Exchanges: Euronext versus Xetra

Exchanges in Europe are in a process of consolidation. After the failure of the proposed merger between Deutsche Börse and Euronext, these two groups are likely to become the nuclei for further mergers and co‐operation with currently independent exchanges. A decision for one of the groups entails a decision for the respective trading platform. Against that background we evaluate the attractiveness of the two dominant continental European trading systems. Though both are anonymous electronic limit order books, there are important differences in the trading protocols. We use a matched‐sample approach to compare execution costs in Euronext Paris and Xetra. We find that both quoted and effective spreads are lower in Xetra. The differences are more pronounced for less liquid stocks. When decomposing the spread we find no systematic differences in the adverse selection component. Realised spreads, on the other hand, are significantly higher in Euronext. Neither differences in the number of liquidity provision agreements nor differences in the minimum tick size or in the degree of domestic competition for order flow explain the different spread levels. We thus conclude that Xetra is the more efficient trading system.     

Is faster or slower trading better? An examination of order type execution speed and costs

We examine order type execution speed and costs for US equity traders. Marketable orders that execute slower exhibit lower execution costs. Those who remove liquidity faster and pay higher trading costs transact in smaller size, spread trading across more venues, take more liquidity, and are better informed. Nonmarketable limit orders that execute slower exhibit greater adverse selection; and larger, uninformed traders who concentrate their trading in fewer venues submit them. Our findings suggest that slowing down the trading process, when faster options exist, can benefit certain market participants who seek to cross the bid–ask spread.     

Intraday time and order execution quality dimensions

We examine intraday execution quality patterns on Nasdaq stocks using proprietary order-level data from a US broker dealer. Orders submitted midday execute slower than orders submitted around the open and close. However, midday orders have lower execution costs. Our results indicate that execution speed and execution cost exhibit offsetting intraday time-dependent patterns and these patterns appear to be induced by variations in informed trading levels. While some traders concentrate their trading activity around the open and close, others prefer to trade midday. Traders have varying preferences for when to trade, and offsetting patterns exist between speed and cost. These factors highlight the complexity in defining an optimal trading time, which, among other things, is dependent on the dimensional preferences of individual traders.     

The Post-Reform Bid-Ask Spread Disparity between Nasdaq and the NYSE

We report further evidence of the difference in execution costs between Nasdaq and the NYSE before and after the 1997 market reforms. We find that informed trading costs are consistently higher on Nasdaq both before and after the reforms. In the pre‐reform period the Nasdaq‐NYSE disparity in bid‐ask spreads cannot be completely attributed to the difference in informed trading costs. However, in the post‐reform period the spread difference between these two markets becomes insignificant with the effect of informed trading costs controlled. Our findings are consistent with the contention that the reforms have largely reduced noninformation trading costs and dealers' rents.     

Market structure, informational efficiency and liquidity: An experimental comparison of auction and dealer markets

We report the results of 18 market experiments that were conducted in order to compare the call market, the continuous auction and the dealer market. Transaction prices in the call and continuous auction markets are much more efficient than prices in the dealer markets. The call market shows a tendency towards underreaction to new information. Execution costs are lowest in the call market and highest in the dealer market. The trading volume and Roll's (Journal of Finance (1984) 1127–1139) serial covariance estimator are inappropriate measures of execution costs in the present context. The relation between private signals, trading decisions and trading profits is analyzed.     

Does the Specialist Matter? Differential Execution Costs and Intersecurity Subsidization on the New York Stock Exchange

This article tests for differences in execution costs among specialist firms for New York Stock Exchange listed securities. Execution cost differences provide a measure of the relative performance of specialist firms. We find a substantial difference in effective spreads and order processing costs across specialist firms, controlling for stock characteristics. While economically significant, the differences in execution costs between specialist firms are much smaller than the cross-market differences reported by Huang and Stoll (1996). Within a specialist firm, there is a positive relation between order processing costs and trading activity that is consistent with the hypothesis that active stocks subsidize inactive stocks.     

Price signatures

Price signatures are statistical measurements that aim to detect systematic patterns in price dynamics localised around the point of trade execution. They are particularly useful in electronic trading because they uncover market dynamics, strategy characteristics, implicit execution costs, or counter-party trading behaviours that are often hard to identify, in part due to the vast amounts of data involved and the typically low signal to noise ratio. Because the signature summarises price dynamics over a specified time interval, it constitutes a curve (rather than a point estimate) and because of potential overlap in the price paths it has a non-trivial dependence structure which complicates statistical inference. In this paper, I show how recent advances in functional data analysis can be applied to study the properties of these signatures. To account for data dependence, I analyse and develop resampling-based bootstrap methodologies that enable reliable statistical inference and hypothesis testing. I illustrate the power of this approach using a number of case studies taken from a live trading environment in the over-the-counter currency market. I demonstrate that functional data analysis of price signatures can be used to distinguish between internalising and externalising liquidity providers in a highly effective data driven manner. This in turn can help traders to selectively engage with liquidity providers whose risk management style best aligns with their execution objectives.     

On the Feasibility of Automated Market Making by a Programmed Specialist

Securities trading is accomplished through the execution of orders. Admissible orders (e.g., market orders, limit orders) give rise to discontinuous aggregate demand functions, composed of many “steps.” Demand smoothing, or the balancing of excesses due to such discontinuities via intervention, is one of the most basic functions that could be assigned to a “specialist.” When the specialist's “affirmative obligation” is fully specified, his or her activity can in principle be automated. This paper is an attempt to assess, via simulation, some of the ramifications of using a “programmed specialist,” whose automated market making is limited to demand smoothing. A number of alternative rules of operation are simulated. Several of the rules performed well, especially the extremely simple rule that calls for the (computerized) specialist to minimize new absolute share holdings in each security at each trading point via “total” (as opposed to “local”) demand smoothing. Our results indicate that the underlying costs of demand smoothing are on the order of a fraction of a penny per share traded even in relatively thin markets.     

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.     

Centralised order books versus hybrid order books: A paired comparison of trading costs on NSC (Euronext Paris) and SETS (London Stock Exchange)

This article compares the cost of trading large capitalisation equities on the hybrid order-driven segment of the London Stock Exchange and the centralised electronic order book of Euronext. Using samples of stocks matched according to economic sector, free float capitalisation, and trading volume, our study shows that transaction costs are lower on the centralised order book than on the hybrid order book. The presence of dealers outside the electronic order book favours the frequency of large trades, but is associated with higher execution costs for all other trades and higher adverse selection and inventory costs inside the order book.     

Components of execution costs: evidence of asymmetric information at the Mexican Stock Exchange

Immediate execution costs for stocks trading at the auction market of the Mexican Stock Exchange (MSE) are five times higher than those for similar NYSE stocks. The source of the trading cost differential is asymmetric information. Mexican stocks are associated with a substantially larger asymmetric information component of the spread (2.76 cents per dollar) than their matched NYSE counterparts (0.28 cents). Results indicate that differences in asymmetric information are not related to stock characteristics, number and sophistication of security analysts, listing and disclosure requirements, ownership restrictions, and voting rights.     

Mechanics of good trade execution in the framework of linear temporary market impact

We define the concept of good trade execution and we construct explicit adapted good trade execution strategies in the framework of linear temporary market impact. Good trade execution strategies are dynamic, in the sense that they react to the actual realisation of the traded asset price path over the trading period; this is paramount in volatile regimes, where price trajectories can considerably deviate from their expected value. Remarkably, however, the implementation of our strategies does not require the full specification of an SDE evolution for the traded asset price, making them robust across different models. Moreover, rather than minimising the expected trading cost, good trade execution strategies minimise trading costs in a pathwise sense, a point of view not yet considered in the literature. The mathematical apparatus for such a pathwise minimisation hinges on certain random Young differential equations that correspond to the Euler–Lagrange equations of the classical Calculus of Variations. These Young differential equations characterise our good trade execution strategies in terms of an initial value problem that allows for easy implementations.     

Order Preferencing and Market Quality on U.S. Equity Exchanges

We present a detailed view of market quality in the presenceof preferencing arrangements. A unique dataset provides theopportunity to measure trading costs of marketable orders andfill rates and ex post costs of limit orders across tradingvenues. For market orders, we find the primary exchange providesthe lowest execution costs. However, the preferencing exchangesare no worse than, and in most cases better than, the nonpreferencingregional exchanges. For limit orders, the regionals executelimit orders more frequently than the primary market and withan ex post execution cost that is not very different from theprimary market.     

Further analysis of the liquidity and information components of institutional orders: Active versus passive funds

Previous research examining the price impact of institutional trading concludes that index funds incur higher liquidity costs due to the higher demand for trading immediacy. However, this conclusion has only been inferred by comparing the total price impact of active and index funds. This study extends the literature by decomposing the price impact of both active and index funds' trades into liquidity (temporary) and information (permanent) components. Index fund trades incur higher liquidity costs and generate lower returns than active funds' trades. Indeed, the evidence presented in this study reveals the execution costs of index funds' trades are entirely liquidity-driven.     

Equity trading by institutional investors: Evidence on order submission strategies

The trading volume channeled through off-market crossing networks is growing. Passive matching of orders outside the primary market lowers several components of execution costs compared to regular trading. On the other hand, the risk of non-execution imposes opportunity costs, and the inherent “free riding” on the price discovery process raises concerns that this eventually will lead to lower liquidity in the primary market. Using a detailed data set from a large investor in the US equity markets, we find evidence that competition from crossing networks is concentrated in the most liquid stocks in a sample of the largest companies in the US. Simulations of alternative trading strategies indicate that the investor’s strategy of initially trying to cross all stocks was cost effective: in spite of their high liquidity, the crossed stocks would have been unlikely to achieve at lower execution costs in the open market.     

Nasdaq and The Chicago Stock Exchange: An Analysis of Multiple Market Trading

We analyze a set of 97 NASD-listed securities that trade on both the Nasdaq and Chicago Stock Exchange (CHX) to determine if trading costs and price improvement differ between the two markets. We find that order execution costs, which we define by the traded spread and the signed effective half-spread, are significantly lower on the CHX. This difference is consistent over trade types and for trades of at least 1,000 shares. Also, we find that trades occurring on the CHX receive more price improvement than do those occurring on Nasdaq.