DETERMINANTS OF THE EXECUTION COSTS OF COMMON STOCK TRADES BY INDIVIDUAL INVESTORS

Data on a large sample of transactions in common stocks by individual investors over a nine-year period are examined to identify factors that influence the magnitude of the price concessions those investors experienced in trades executed on the New York and American Stock Exchanges. Among the factors that appear to have an influence on such “execution costs” are the exchange where the security involved is traded and the direction of the price movement in the security on the day of the trade. The size of the trade, the price of the stock, and the volatility of price, however, do not seem to have an effect. There is also little indication that execution costs have declined over time as the securities markets have become less subject to regulation.     

Measuring equity market integration using uncorrelated information flows: Tokyo,London and New York

Equity markets do not pass all overnight information into prices instantly at the opening of trade. We adjust open-to-close return series for non-instantaneous information absorption and then use adjusted series to measure integration among three major equity markets. Because the adjusted daytime return series are uncorrelated, we can accurately measure the size, and identify the sources, of transmissions. Overnight news, as represented by foreign open-to-close returns, explains 13% of opening price variation (close-to-open returns) in New York, 14% in Tokyo and 30% in London. For New York and Tokyo, the largest influences come from the market that trades immediately prior (London and New York respectively) whereas opening price variation in London is linked closer with New York than Tokyo. Foreign volatility spillovers are also significant, and subject to asymmetric effects.     

On the independence of transactions on the New York Stock exchange

This paper presents empirical tests of a model of intraday transaction price walks haveior events both the existence of price reversal's in transaction price sequence with random, New York daily. and longer different intervlas. In genral, we find that trasaction of independ events both with respect to their time execution and the siem and (bid or ask) or whick thaye are executed. Over very short intervals times, however, transapction tend to cluster in time and on a particular side of the market. We conjecture that this latter phenomenon is a consequence of market procedures on the New York Stock Exchange.     

Post-Reform Market-Order Execution Quality: Multidimensional Comparisons Across Market Centers

We use market‐order data to determine execution quality on the NYSE, four regional stock exchanges, and the Nasdaq InterMarket. We examine a sample period after the reduction in the minimum price variation and after the SEC imposed new order‐handling rules, and analyze dimensions of execution quality in addition to trade prices. We find that in the postreform environment, the NYSE offers execution prices that are more favorable to the investor. However, the regional exchanges and the InterMarket offer executions that are faster and that more frequently allow investors to execute orders with sizes exceeding the quoted depth at the quoted price.     

The Behavior of Option Price Around Large Block Transactions in the Underlying Security

This paper investigates the behavior of stock and option prices around block trades in stocks. The results indicate that for both up tick and downtick block trades the stock prices adjust within a fifteen minute period after the block trade. Moreover, for uptick blocks there is no evidence of any stock price reaction before the block trade. However, the adjustment of stock price for downtick blocks begins about fifteen minutes before the block trade. We also find that option price behavior differs considerably from stock price behavior. Specifically, our results suggest that options exhibit abnormal price behavior starting thirty minutes before the block and ending one hour after the block. The pattern is more pronounced for downtick blocks and for put options. We interpret this abnormal price behavior of options before the block trade as consistent with intermarket frontrunning.     

EVIDENCE ON ADJUSTMENTS IN MAJOR NATIONAL STOCK MARKET LINKAGES OVER THE 1980S

This paper measures the alterations that have occurred in equity market correlations for six major internationally active stock exchanges between 1980 and 1987. The markets are chosen so as to allow for geographical diversity while still accounting for almost ninety percent of total worldwide equity market capitalization. The VAR variance decomposition technique is used to measure intermarket linkage patterns. We find substantial alterations in intermarket linkage patterns occurring over the 1980s. While the US market (the New York Stock Exchange) is still the dominant financial force in world equities trading, other markets (particularly those in the Pacific Basin region) now account for an increasing impact on observed index correlations in the system. This paper suggests that world financial integration is, in part, responsible for the altered linkage patterns observed over the 1980s.     

Automated Versus Floor Trading: An Analysis of Execution Costs on the Paris and New York Exchanges

A global trend towards automated trading systems raises the important question of whether execution costs are, in fact, lower than on trading floors. This paper compares the trade execution costs of similar stocks in an automated trading structure (Paris Bourse) and a floor-based trading structure (NYSE). Results indicate that execution costs are higher in Paris than in New York after controlling for differences in adverse selection, relative tick size, and economic attributes across samples. These results suggest that the present form of the automated trading system may not be able to fully replicate the benefits of human intermediation on a trading floor.     

One Security,Many Markets: Determining the Contributions to Price Discovery

When homogeneous or closely-linked securities trade in multiple markets, it is often of interest to determine where price discovery (the incorporation of new information) occurs. This article suggests an econometric approach based on an implicit unobservable efficient price common to all markets. The information share associated with a particular market is defined as the proportional contribution of that market's innovations to the innovation in the common efficient price. Applied to quotes for the thirty Dow stocks, the technique suggests that the preponderance of the price discovery takes place at the New York Stock Exchange (NYSE) (a median 92.7 percent information share).     

Does the Limit Order Routing Decision Matter?

We examine the impact deciding to route limit orders away fromthe New York Stock Exchange (NYSE) has on three dimensions ofexecution quality with methodologies controlling for marketconditions and order submission strategies. Overall differencesin limit order execution quality between regional stock exchangesand the NYSE are small, suggesting that the order routing decisionmay not affect retail limit order traders substantively. Conditioningon the distance between the limit order's price and prevailingquotes, however, reveals systematic differences in executionquality. This implies that brokers can strategically route limitorders to improve retail limit order execution quality.     

Institutional Equity Trading Costs: NYSE Versus Nasdaq

We compare execution costs (market impact plus commission) on the New York Stock Exchange (NYSE) and Nasdaq for institutional investors. The differences in cost generally conform to each market's area of specialization. Controlling for firm size, trade size, and the money management firm's identity, costs are lower on Nasdaq for trades in comparatively smaller firms, while costs for trading the larger stocks are lower on NYSE. The cost differences estimated from a regression model are, however, sensitive to the choice of time period.     

Price discovery in auction markets: a look inside the black box

Opening mechanisms play a crucial role in information aggregationfollowing the overnight nontrading period. This article examinesthe process of price discovery at the New York Stock Exchangesingle-price opening auction. We develop a theoretical modelto explain the determinants of the opening price and test themodel using order-level data. We show that the presence of designateddealers facilitates price discovery relative to a fully automatedcall auction market. This is consistent with specialists extractinginformation from observing the evolution of the limit orderbook. In addition, the specialist's opening trade reflects noninformationalfactors such as price stabilization requirements.     

Does information vault Niagara Falls? Cross-listed trading in New York and Toronto

We document differential private information in cross-border asset pricing using the probability of informed trading (PIN) for Canadian shares traded on both sides of Niagara Falls. Relative to the New York Stock Exchange (NYSE), the Toronto Stock Exchange (TSX) has more informed trades and a larger information share. This cross-border information imbalance is associated with small but positive price premiums in New York as predicted by a model. The dynamics of these premiums depends on trade informativeness. Lastly, the PIN for TSX trading typically rises upon cross-listing on the NYSE, which is consistent with the negative event-study response.     

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.     

Arbitraging American Gold Spot and Futures Options

This study empirically tests rational pricing conditions applicable to American gold spot and futures options. A number of ancillary pricing relations also are tested. Transactions data supplied by the Montreal Stock Exchange and the New York Commodity Exchange are used in these tests. Arbitrage trading strategies designed to exploit violations of these conditions also are provided. The results indicate potential intermarket inefficiency: a substantial number of violations of a condition applicable to call options are found, and most of these violations are sufficient in magnitude to cover the relevant transaction costs of arbitrage.     

FURTHER EXAMINATION OF PRICE DISCOVERY ON THE NYSE AND REGIONAL EXCHANGES

I re‐examine price discovery on the New York Stock Exchange (NYSE) and regional exchanges. I employ three common‐trend cointegration models to analyze the equilibrium dynamics between the NYSE and regional exchanges for the thirty Dow stocks. The overall results show that whether the regional exchanges free‐ride on the NYSE in obtaining equilibrium prices depends on whether trade prices or quotes are examined. The regional exchanges play a significant (though less important) role in the price‐discovery process for trade prices. However, the contributions of regional exchanges in price discovery of quotes are negligible. I explain the inconsistency between the results using quotes and those using trades. I also highlight the problems of using either quotes or trades in examining this free‐riding hypothesis and suggest future research on the different informativeness of trades on the NYSE and regional exchanges. JEL classification: G20, C32.     

All else equal?: a multidimensional analysis of retail,market order execution quality

The extant execution quality literature generally suggests that brokers routing orders away from the NYSE might not fulfill their fiduciary best execution responsibility. This conclusion is drawn by comparing execution prices across trading venues and presumes that other execution-quality characteristics are equivalent. Using order audit-trail data, we find evidence that retail market orders obtain better trade prices on the NYSE but faster executions, more depth improvement, and order-flow payment at Trimark Securities, a Nasdaq dealer. Thus, non-price dimensions of execution quality are not equivalent across trading venues. Furthermore, considering order flow payments, brokers obtain better net prices with Trimark. If brokers pass enough of these payments through to investors in the form of lower commissions and/or better services, then investors also obtain better net prices with Trimark. Our results suggest that it may be misleading to evaluate execution quality or to base policy decisions on comparisons focusing on only execution prices.     

Order dynamics: Recent evidence from the NYSE

We examine investor order choices using evidence from a recent period when the NYSE trades in decimals and allows automatic executions. We analyze the decision to submit or cancel an order or to take no action. For submitted orders, we distinguish order type (market vs. limit), order side (buy vs. sell), execution method (auction vs. automatic), and pricing aggressiveness. We find that the NYSE exhibits positive serial correlation in order type on an order-by-order basis, which suggests that follow-on order strategies dominate adverse selection or liquidity considerations at a moment in time. Aggregated levels of order flow also exhibit positive serial correlation in order type, but appear to be non-stationary processes. Overall, changes in aggregated order flow have an order-type serial correlation that is close to zero at short aggregation intervals, but becomes increasingly negative at longer intervals. This implies a liquidity exhaustion–replenishment cycle. We find that small orders routed to the NYSE's floor auction process are sensitive to the quoted spread, but that small orders routed to the automatic execution system are not. Thus, in addition to foregoing price improvement, traders selecting the speed of automatic executions on the NYSE do so with little regard for the quoted cost of immediacy. As quoted depth increases, traders respond by competing on price via limit orders that undercut existing bid and ask prices. Limit orders are more likely and market sells are less likely late in the trading day. These results are helpful in understanding the order arrival process at the NYSE and have potential applications in academics and industry for optimizing order submission strategies.     

Optimal high-frequency trading with limit and market orders

We propose a framework for studying optimal market-making policies in a limit order book (LOB). The bid–ask spread of the LOB is modeled by a tick-valued continuous-time Markov chain. We consider a small agent who continuously submits limit buy/sell orders at best bid/ask quotes, and may also set limit orders at best bid (resp. ask) plus (resp. minus) a tick for obtaining execution order priority, which is a crucial issue in high-frequency trading. The agent faces an execution risk since her limit orders are executed only when they meet counterpart market orders. She is also subject to inventory risk due to price volatility when holding the risky asset. The agent can then also choose to trade with market orders, and therefore obtain immediate execution, but at a less favorable price. The objective of the market maker is to maximize her expected utility from revenue over a short-term horizon by a trade-off between limit and market orders, while controlling her inventory position. This is formulated as a mixed regime switching regular/impulse control problem that we characterize in terms of a quasi-variational system by dynamic programming methods. Calibration procedures are derived for estimating the transition matrix and intensity parameters for the spread and for Cox processes modelling the execution of limit orders. We provide an explicit backward splitting scheme for solving the problem and show how it can be reduced to a system of simple equations involving only the inventory and spread variables. Several computational tests are performed both on simulated and real data, and illustrate the impact and profit when considering execution priority in limit orders and market orders.     

Correlations in price changes and volatility across international stock markets

The short-run interdependence of prices and price volatilityacross three major international stock market is studied. Dailyopening and closing prices of major stock indexes for the Tokyo,London, and New York stock markets are examined. The analysisutilizes the autoregressive conditionally heteroskedastic (ARCH)family of statistical models to explore these pricing relationship.Evidence of price volatility spillovers from New York to Tokyo,London to Tokyo, and New York to London is observed, but noprice volatility spillover effects in other directions are foundfor the pre-October 1987 period.