MARKET STRUCTURE AND TRADING VOLUME

Historically, trading volume reported for NASDAQ stocks has been overstated vis‐à‐vis New York Stock Exchange (NYSE) stocks, both because of the dealer's participation in trades as a market maker and because of interdealer trading. Beginning in 1997, the Securities and Exchange Commission changed order‐handling rules and trade‐reporting rules, which may have reduced or eliminated the overstatement of NASDAQ trading. We examine trading volumes of firms changing from NASDAQ to the NYSE since 1997 and document that reported trading volume for NASDAQ stocks continues to be overstated. Moreover, the degree of overstatement is much larger for firms with high trading volume.     

SECURITY RETURN DISTRIBUTIONS AND MARKET STRUCTURE: EVIDENCE FROM THE NYSE/AMEX AND THE NASDAQ MARKETS

This paper documents significant and persistent deviations from normality in security return distributions for the NYSE, AMEX, and NASDAQ from 1974 to 1988. Controlling for January and size effects, we find that the deviations of security return distributions from normality decline with increasing portfolio size and investment horizon for the NYSE and AMEX, especially for daily returns. Deviations appear to be greater for the NASDAQ than for the two exchanges even for firms of the same size. Ratios of monthly to daily variances are also larger for the NASDAQ. These results suggest that nonparametric or other robust statistical techniques should be used when valuing equity options and other derivatives, especially when examining NASDAQ security returns. They further imply that trading strategies based on market inefficiencies are more likely to succeed on the NASDAQ.     

TRADING COSTS AND QUOTE CLUSTERING ON THE NYSE AND NASDAQ AFTER DECIMALIZATION

We examine execution costs and quote clustering on the New York Stock Exchange (NYSE) and NASDAQ using 517 matching pairs of stocks after decimalization. We find that the mean spread of NASDAQ stocks is greater than the mean spread of NYSE stocks when spreads are equally weighted across stocks, and the difference is greater for smaller stocks. In contrast, the mean NASDAQ spread is narrower than the mean NYSE spread when spreads are volume weighted, and the difference is statistically significant for large stocks. Both NYSE and NASDAQ stocks exhibit high degrees of quote clustering on nickels and dimes, and quote clustering has a significant effect on spreads in both markets.     

INFORMED TRADING RISK AND BID-ASK SPREAD CHANGES AROUND OPEN MARKET STOCK REPURCHASES IN THE NASDAQ MARKET

Microstructure theory contends that dealers' bid-ask spreads should vary intertemporally with changes in the asymmetric information component of the spread. Corporate theory suggests that stock repurchase announcements signal management's private information to the securities markets. An examination of dealers' spread behavior around firms' open market repurchases in the NASDAQ market reveals a decline in spreads adjusted for dealers' inventory-holding and order-processing costs. This decline is attributed to a reduction in informed trading risk associated with the open market repurchase announcements.     

CONCENTRATED OPENING VOLUME: MARKET CLOSURE OR STRATEGIC TRADING?

The NYSE extended its trading hours on September 30, 1985, by opening at 9:30 a.m. rather than at 10:00 a.m. Whereas the market closure models predict that the extension would result in lower relative volume and return variability at the open, the strategic trading models predict that the opening volume and return variability would remain relatively the same. Evidence around the extension suggests that the relative opening volume and return variability declined initially but increased gradually to their pre‐extension levels. This evidence favors the strategic trading model explanation of the heightened opening volume.     

THE LINKS BETWEEN TRADING TIME AND MARKET VOLATILITY

In this paper the impact of reduced New York Stock Exchange trading hours on stock return variance and trading volume is examined. Trading hours were reduced during the summers of 1945–52 by eliminating Saturday trading and in parts of 1968 by eliminating Wednesday trading. For the most part, these closings do not affect weekly volume or stock return variance. However, volume and variance are shifted from periods within the week with reduced trading hours to days following market closings. This is consistent with reduced trading temporarily reducing the transmission of private information into market prices.     

THE FUNDAMENTAL DETERMINANTS OF TRADING VOLUME REACTION TO FINANCIAL INFORMATION: EVIDENCE AND IMPLICATIONS FOR EMPIRICAL CAPITAL MARKET RESEARCH

Prior empirical research indicates that trading volume reaction to new information increases with the heterogeneity of investors’ prior beliefs. We examine three potential factors that theoretical models of financial economists show determine trading volume reaction to new information: heterogeneous prior beliefs, differential interpretation, and the consensus effect—the extent to which the information causes their beliefs to converge or diverge. We find that these three factors have a distinct and significant incremental effect on trading volume, thereby suggesting that empirical trading volume models that exclude or fail to control for any of these determinants are misspecified with biased estimated coefficients.     

VOLATILITY FORECASTS,TRADING VOLUME,AND THE ARCH VERSUS OPTION‐IMPLIED VOLATILITY TRADE‐OFF

We investigate empirically the role of trading volume (1) in predicting the relative informativeness of volatility forecasts produced by autoregressive conditional heteroskedasticity (ARCH) models versus the volatility forecasts derived from option prices, and (2) in improving volatility forecasts produced by ARCH and option models and combinations of models. Daily and monthly data are explored. We find that if trading volume was low during period t?1 relative to the recent past, ARCH is at least as important as options for forecasting future stock market volatility. Conversely, if volume was high during period t?1 relative to the recent past, option‐implied volatility is much more important than ARCH for forecasting future volatility. Considering relative trading volume as a proxy for changes in the set of information available to investors, our findings reveal an important switching role for trading volume between a volatility forecast that reflects relatively stale information (the historical ARCH estimate) and the option‐implied forward‐looking estimate.     

THE EFFECT OF CROSS‐LISTING ON TRADING VOLUME: REDUCING SEGMENTATION VERSUS SIGNALING INVESTOR PROTECTION

We examine the relation between cross‐listing on the U.S. and UK regulated and unregulated exchanges and trading volume for a sample of 500 foreign firms from 34 countries. We find that the increase in trading volume is a function of both reducing segmentation and signaling investor protection. In addition, we find that home market trading volume, firm size, firm returns, and analyst forecast accuracy are the major determinants of a firm's trading volume. We also show that U.S. and UK investors trade foreign securities that originate from low‐investor‐protection countries more than they trade those from high‐investor‐protection countries, which is consistent with the bonding hypothesis.     

THE EMPIRICAL RELATIONSHIP BETWEEN TRADING VOLUME,RETURNS AND VOLATILITY

This paper presents an empirical analysis of the relationship between trading volume, returns and volatility in the Australian stock market. The initial analysis centres upon the volume-price change relationship. The relationship between trading volume and returns, irrespective of the direction of the price change, is significant across three alternative measures of daily trading volume for the aggregate market. This finding also provides basic support for a positive relationship between trading volume and volatility. Furthermore, evidence is found supporting the hypothesis that the volume-price change slope for negative returns is smaller than the slope for non-negative returns, thereby supporting an asymmetric relationship which is hypothesised to exist because of differential costs of taking long and short positions. Analysis at the individual stock level shows weaker support for the relationship. A second related hypothesis is tested in which the formation of returns is conditional upon information arrival which similarly affects trading volume. The hypothesis is tested by using the US overnight return to proxy for expected “news” and trading volume to proxy for news arrival during the day. The results show a reduction in the significance and magnitude of persistence in volatility and hence are consistent with explaining non-normality in returns (and ARCH effects) through the rate of arrival of information. The findings in this paper help explain how returns are generated and have implications for inferring return behaviour from trading volume data.     

TRADING OF NASDAQ STOCKS ON THE CHICAGO STOCK EXCHANGE

We use a linear programming model to form two portfolios with approximately equal levels of attributes such as financial leverage. One portfolio comprises stocks that trade exclusively on NASDAQ and the other, stocks that trade on both the Chicago Stock Exchange (CSE) and NASDAQ (CSE/NASDAQ). We find that spreads are lower for the CSE/NASDAQ portfolio, but so is the percentage of quotes at spreads of $0.125. In fact, the lower spreads observed for the CSE/NASDAQ portfolio arise from fewer quotes with spreads of more than $0.25.     

THE OVER-THE-COUNTER MARKET AND NEW YORK STOCK EXCHANGE TRADING HALTS

This paper examines the over-the-counter (OTC) market activities for stocks temporarily suspended by the New York Stock Exchange (NYSE). Unlike previous studies, we use transaction-to-transaction data on the NASDAQ during NYSE trading halts to investigate the price adjustment process between market equilibria. The evidence indicates that while being halted by the NYSE, the same stocks have exhibited significantly greater volatility in the OTC market. Since the volatile price movement is mainly random and provides no arbitraging opportunities for the OTC market traders, we do not find support for the proposal that trading halts should be mandatory for all trading locations.     

THE DEALER AND MARKET CONCEPTS OF BID-ASK SPREAD: A COMPARISON FOR NASDAQ STOCKS

Two models of bid-ask spread are estimated with a unique sample of matched observations of dealer spreads and market (inside) spreads for NASDAQ stocks. The estimates demonstrate that dealer and market spreads relate differently to their common determinants, indicating that the two measures are not interchangeable. Consequently, studies must select the spread concept that is appropriate to the hypothesis being tested to get unbiased estimates and correct interpretations of model parameters. In particular, the cost of immediacy to investors is measured directly by market spreads, while market-making costs and interdealer competition relate directly to dealer spreads.     

TRANSACTION COSTS AND DAY-OF-THE-WEEK EFFECTS IN THE OTC/NASDAQ EQUITY MARKET

A potential explanation is examined here for the observed day-of-the-week effect in equity returns—systematic daily patterns in percentage bid-ask spreads. Using OTC/NASDAQ data over 1973–1985, strong return day-of-the-week effects are documented while mean dealer percentage spreads are essentially unchanged over the week. These results provide evidence that systematic percentage spread changes do not contribute to the observed return anomaly.     

THE CHOICE OF TRADING VENUE AND RELATIVE PRICE IMPACT OF INSTITUTIONAL TRADING: ADRs VERSUS THE UNDERLYING SECURITIES IN THEIR LOCAL MARKETS

We address two important themes associated with institutions’ trading in foreign markets: (1) the choice of trading venues (between a company's listing in its home market and that in the United States as an American Depositary Receipt [ADR]) and (2) the comparison of trading costs across the two venues. We identify institutional trading in both venues using proprietary institutional trading data. Overall, our research underscores the intuition that the choice of institutional trading in a stock's local market or as an ADR is a complex process that embodies variables that measure the relative adverse selection and liquidity at order, stock, and country levels. Institutions route a higher percentage of trades to more liquid markets, and these trades are associated with higher cumulative abnormal returns. We also find that institutional trading costs are generally lower for trading cross‐listed stocks on home exchanges even after controlling for selection bias.