Variations in Trading Volume,Return Volatility,and Trading Costs: Evidence on Recent Price Formation Models

Patterns in stock market trading volume, trading costs, and return volatility are examined using New York Stock Exchange data from 1988. Intraday test results indicate that, for actively traded firms trading volume, adverse selection costs, and return volatility are higher in the first half-hour of the day. This evidence is inconsistent with the Admati and Pfleiderer (1988) model which predicts that trading costs are low when volume and return volatility are high. Interday test results show that, for actively traded firms, trading volume is low and adverse selection costs are high on Monday, which is consistent with the predictions of the Foster and Viswanathan (1990) model.     

Adverse selection,brokerage coverage,and trading activity on the Tokyo Stock Exchange

Limit-order trading mechanisms, corporate ownership structure, and incentive structures in the Japanese brokerage industry differ from those in the US in several important ways. This paper exploits these differences to examine the joint and cross-sectional determinants of adverse selection costs, brokerage coverage, and trading activity for a large sample of Japanese firms traded on the Tokyo Stock Exchange. We find that adverse selection costs are associated with firm characteristics but not with ownership characteristics, which implies that adverse selection costs are affected by inside trading rather than inside holdings. We also find that while brokerage coverage reduces adverse selection costs, higher adverse selection costs lead more brokerage firms to enter the market because of the greater profit potential. Finally, we find that causality also runs both ways between brokerage coverage and trading volume: brokerage coverage increases trading volume and trading volume increases brokerage coverage.     

Measuring institutional trading costs and the implications for finance research: The case of tick size reductions

Using proprietary institutional trade data, we construct a price impact measure that represents the costs faced by institutional investors. We show that many widely used liquidity measures do not adequately capture institutional trading costs. We then find that institutional trading costs are not dramatically impacted by decimalization, casting doubt on the widely used identification strategy that employs decimalization as an exogenous shock to liquidity, particularly institutional liquidity. Indeed, we find that conclusions from prior research are significantly altered when we measure liquidity using institutional trading data.     

Another look at trading costs and short-term reversal profits

Several studies report that abnormal returns associated with short-term reversal investment strategies diminish once trading costs are taken into account. We show that the impact of trading costs on the strategies’ profitability can largely be attributed to excessively trading in small cap stocks. Limiting the stock universe to large cap stocks significantly reduces trading costs. Applying a more sophisticated portfolio construction algorithm to lower turnover reduces trading costs even further. Our finding that reversal strategies generate 30-50 basis points per week net of trading costs poses a serious challenge to standard rational asset pricing models. Our findings also have important implications for the understanding and practical implementation of reversal strategies.     

Non-Linear Predictive Models for Intra-Day Foreign Exchange Trading

Artificial neural networks were used to search for non-linear relations in high- frequency foreign exchange time series. Three years (1985-7) tick-by-tick bid prices for the Swiss franc to the US dollar exchange rate were used in this study as training data to specify predictive models for intra-day trading, which was then tested on the same exchange rate time series in the following year (1988). A simple trading rule was adopted to evaluate the models, which showed statistically significant trading profit under moderate transaction costs. In contrast, a standard linear model did not produce profit with the same training and test data and under the same trading rule and transaction cost assumption. This provides evidence for the non-linear nature of the foreign exchange time series under study.     

Liquidity Externalities and Adverse Selection: Evidence from Trading after Hours

This paper examines liquidity externalities by analyzing trading costs after hours. There is less than 1/20 as many trades per unit time after hours as during the trading day. The reduced trading activity results in substantially higher trading costs: quoted and effective spreads are three to four times larger than during the trading day. The higher spreads reflect greater adverse selection and order persistence, but not higher dealer profits. Because liquidity provision remains competitive after hours, the greater adverse selection and higher trading costs provide a direct measure of the magnitude of the liquidity externalities generated during the trading day.     

Trading Returns for the Weekend Effect Using Intraday Data

The existence of the weekend effect has been documented as early as 1885. This paper examines whether the serial dependence in returns around weekends and the magnitude of negative Friday returns can be used to produce superior trading returns. We find some success for this endeavor after accounting for transaction costs (including the bid/ask spread), especially when trading is confined to weekends for which there are large negative Friday returns and to positions opened on Friday afternoons. The effect of stocks trading ex-dividend on Mondays does not appear to bias our results.     

Inter-market competition for NYSE-listed securities under decimals

Blume and Goldstein (J Finance 52:221–244, 1997) suggest that quote competition between trading venues may diminish following tick size reductions. We test this suggestion by studying the competitive landscape in the NYSE-listed stocks before and after decimalization. We find that NBBO (National Best Bid and Offer) participation by non-NYSE venues declines following decimalization consistent with the prediction. At the same time, the importance of quote competitiveness in attracting order flow increases. In addition, although not as active in determining and maintaining the best quotes under decimals, non-NYSE venues become more active in price discovery. Finally, decimalization leads to lower trading costs and to smaller differences in trading costs across trading venues.     

Post‐Earnings Announcement Drift: Bounds on Profitability for the Marginal Investor

The persistence of the post‐earnings announcement drift (PEAD) leads many to believe that trading barriers prevent investors from eliminating it. We examine two factors that have not been adequately addressed by the literature: the exact timing of earnings announcements and liquidity costs. Under a wide range of timing and cost assumptions, our results leave little doubt that over our sample period the PEAD was highly profitable after trading costs. An additional incremental investor could have earned hedged‐portfolio returns of at least 14% per year after trading costs. Over our sample period, investors did indeed leave money on the table.     

On the distribution and estimation of trading costs

This paper investigates the uncertainty about the trading costs associated with a given portfolio strategy. I derive accurate approximations of the ex ante probability distributions of proportional trading costs and portfolio turnover under the conventional assumption of normal asset returns. Based on these approximations, I express the expected trading costs as a function of asset and portfolio characteristics. All else equal, the expected trading costs increase with: i) the deviations of the expected asset returns from the expected portfolio return, ii) the assets' volatility and iii) the portfolio volatility. At the same time, they decrease with the covariance between the assets and the portfolio. Furthermore, I propose novel estimators of the expected turnover and trading costs and show that they offer small bias and low variance, even when the sample size is small. Finally, I incorporate my results into a portfolio selection framework to produce portfolios with low levels of risk and trading costs. Several experiments with real and simulated data confirm the practical value of the results.     

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.     

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.     

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 Among Market-Making Revenue, Payment for Order Flow, and Trading Costs for Market Orders

We study the division of market-making revenue among dealer, broker, and trader. When Knight Securities, a major Nasdaq dealer, interacts with market orders in actively traded stocks during the fourth quarter of 1996, we estimate that its revenue is $0.057 per share. Knight pays brokers at least $0.025 per share (44% of revenue) for orders. To examine whether brokers appear to share these payments with traders, we compare net trading costs (trade price net of commissions) for traders using brokers routing Knight orders with estimated net trading costs for traders using the only discount broker we can determine did not directly receive market-making revenue. We find that the net trading cost of the broker refusing order-flow payments does not dominate the net trading cost of all brokers selling order flow to Knight. This finding suggests that order-flow payments do not unambiguously harm traders and challenges the conclusions of extant studies using only trade prices to assess market quality.     

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.     

Do cosmetic reporting variations affect market behavior? A laboratory study of the accounting emphasis on unavoidable costs

Eight laboratory market sessions are conducted in which sellers have both opportunity costs (default redemption values from not trading) and unavoidable costs (fixed outlays that must be paid irrespective of trading). The treatment variation is whether sellers’ intermediate accounting reports compare sales revenues to unavoidable costs (four sessions) or default redemption values (four sessions). Findings indicate systematically higher seller asks and buyer bids in the condition where accounting emphasizes unavoidable costs. However, the price and efficiency implications of these higher asks and bids are offset by simultaneous shifts in the relative frequencies of seller-initiated and buyer-initiated trades.     

Optimal transaction filters under transitory trading opportunities: Theory and empirical illustration

If transitory profitable trading opportunities exist, transaction filters mitigate trading costs. We use a dynamic programming framework to design an optimal filter that maximizes after-cost expected returns. The filter size depends crucially on the degree of persistence of trading opportunities, transaction cost, and standard deviation of shocks. For daily dollar–yen exchange trading, the optimal filter can be economically significantly different from a naïve filter equal to the transaction cost. The candidate trading strategies generate positive returns that disappear after transaction costs. However, when the optimal filter is used, returns after costs remain positive and higher than for naïve filters.     

Does insider trading regulation deter private information trading? International evidence

Using a sample of 2189 firms from 21 countries we find that, on average, stricter insider trading regulations reduce private information trading. However, for firms with high agency costs, insider trading restrictions are less effective in deterring private information trading. We suggest that controlling shareholders who are banned from trading may resort to covert expropriation of firm resources thereby reducing transparency and increasing the returns to private information trading. Consistent with this, we find that firms with higher agency costs located in countries with stricter insider trading laws have more opaque earnings and are valued lower.     

Reputation Effects in Trading on the New York Stock Exchange

Theory suggests that reputations allow nonanonymous markets to attenuate adverse selection in trading. We identify instances in which New York Stock Exchange (NYSE) stocks experience trading floor relocations. Although specialists follow the stocks to their new locations, most brokers do not. We find a discernable increase in liquidity costs around a stock's relocation that is larger for stocks with higher adverse selection and greater broker turnover. We also find that floor brokers relocating with the stock obtain lower trading costs than brokers not moving and brokers beginning trading post‐move. Our results suggest that reputation plays an important role in the NYSE's liquidity provision process.     

Providing liquidity in an illiquid market: Dealer behavior in US corporate bonds

We examine market making behavior of dealers for 55,988 corporate bonds, many of which trade infrequently. Dealers have a substantially higher propensity to offset trades within the same day rather than committing capital for longer periods for riskier and less actively traded bonds. Dealers’ holding periods do not decline with a bond's prior trading activity and in fact are lowest for some of the least active bonds. As a result, cross-sectional estimates of roundtrip trading costs do not increase as prior trading activity declines. Our results suggest that dealers endogenously adjust their behavior to mitigate inventory risk from trading in illiquid and higher risk securities, balancing search and inventory costs in equilibrium such that observed spreads can appear invariant to expected liquidity.