Competition on the Nasdaq and the growth of electronic communication networks

This paper examines the growth of electronic communication networks (ECNs) and their competitive impact on the Nasdaq. We find that the development of these alternative trading platforms is associated with tighter quoted, effective, and relative bid–ask spreads, greater depths, and less concentrated markets. Further, our results show that an increase in ECN trading may have caused some traditional market makers (wholesaler and national retail dealers) to exit the market for market making. Overall, our results suggest that ECNs provide a source of competition to traditional Nasdaq dealers.     

The Quality of ECN and Nasdaq Market Maker Quotes

This paper compares the quality of quotes submitted by electronic communication networks (ECNs) and by traditional market makers to the Nasdaq quote montage. An analysis of the most active Nasdaq stocks shows that ECNs not only post informative quotes, but also, compared to market makers, ECNs post quotes rapidly and are more often at the inside. Additionally, ECN quoted spreads are smaller than dealer quoted spreads. The evidence suggests that the proliferation of alternative trading venues, such as ECNs, may promote quote quality rather than fragmenting markets. Moreover, the results suggest that a more open book contributes to quote quality.     

Competition For Order Flow, Market Quality, And Price Discovery In The Nasdaq 100 Index Tracking Stock

We investigate competition for order flow, market quality, and price discovery in the Nasdaq 100 Index Tracking Stock (QQQ). The QQQ, an AMEX‐listed, exchange‐traded fund, is the most actively traded security in the U.S. equities market. On July 31, 2001, the NYSE began trading the QQQ, marking the first time it traded securities of companies it does not list. The greatest volume of trading takes place on electronic communication networks (ECNs), following by trading on the AMEX and the NYSE. Most of the block trades are executed on the AMEX, where the bid‐ask spreads are narrower. We find that ECNs contribute the most to the price‐discovery process. The spreads on all trading platforms have decreased and market quality and price discovery have improved since QQQ shares have traded on the NYSE.     

The next tick on Nasdaq

The Nasdaq stock market provides information about buying and selling interest in its limit order book. Using a vector autoregressive model of trades and returns, I assess the effect of the entire order book on the next tick. I also determine the influence of individual market makers and electronic networks and find evidence that the identity of market participants can be useful information. Finally, I produce a set of dynamic market price responses to buy and sell orders, and I find that these estimates vary with standard measures of liquidity.     

Market Maker Quotation Behavior and Pretrade Transparency

We examine the impact of differing levels of pretrade transparency on the quotation behavior of Nasdaq market makers. We find that market makers are more likely to quote on odd ticks, and to actively narrow the spread, when they can do so anonymously by posting limit orders on Electronic Communication Networks (ECNs). From a public policy perspective, our findings suggest that making the level of pretrade transparency on Nasdaq more opaque by allowing anonymous quotes could improve price competition and narrow spreads further.     

Competition among Trading Venues: Information and Trading on Electronic Communications Networks

This paper explores the competition between two trading venues, Electronic Communication Networks (ECNs) and Nasdaq market makers. ECNs offer the advantages of anonymity and speed of execution, which attract informed traders. Thus, trades are more likely to occur on ECNs when information asymmetry is greater and when trading volume and stock‐return volatility are high. ECN trades have greater permanent price impacts and more private information is revealed through ECN trades than though market‐maker trades. However, ECN trades have higher ex ante trading costs because market makers can preference or internalize the less informed trades and offer them better executions.     

Price discovery and common factor models

If a financial asset is traded in more than one market, common factor models may be used to measure the contribution of these markets to the price discovery process. We examine the relationship between the Hasbrouck (J. Finance (50) (1995) 1175) and Gonzalo and Granger (J. Bus. Econ. Stat. 13 (1995) 27) common factor models. These two models complement each other and provide different views of the price discovery process between markets. The Gonzalo and Granger model focuses on the components of the common factor and the error correction process, while the Hasbrouck model considers each market's contribution to the variance of the innovations to the common factor. We show that the two models are directly related and provide similar results if the residuals are uncorrelated between markets. However, if substantive correlation exists, they typically provide different results. We illustrate these differences using analytic examples plus a real world example consisting of electronic communications networks (ECNs) and other Nasdaq market makers.     

The Nasdaq-Amex Merger, Nasdaq Reforms, and the Liquidity of Small Firms

After the Nasdaq and American Stock Exchange (AMEX) merged in 1998, officials of the new entity argued that some “smaller, harder to trade” companies on Nasdaq should switch to AMEX to improve liquidity. This recommendation is based on the traditional view among academics and practitioners alike that a substantial trading cost reduction should be realized when a company switches from the multidealer Nasdaq system to the AMEX specialist system. However, in light of the 1997 Nasdaq reforms, we reexamine the validity of these arguments using data from 1996–98 on firms that switch from the Nasdaq to the AMEX or the New York Stock Exchange. Evidence from transaction costs, volatility, and stock returns shows declining benefits to switching during the sample period. Our findings indicate that the liquidity improvement from exchange listing is limited in the wake of the Nasdaq reforms of 1997.     

Spreads, Depths, and Quote Clustering on the NYSE and Nasdaq: Evidence after the 1997 Securities and Exchange Commission Rule Changes

This paper examines liquidity and quote clustering on the NYSE and Nasdaq using data after the two market reforms—the 1997 order–handling rule and minimum tick size changes. We find that Nasdaq–listed stocks exhibit wider spreads and smaller depths than NYSE–listed stocks and stocks with higher proportions of even–eighth and even–sixteenth quotes have wider quoted, effective, and realized spreads on both the NYSE and Nasdaq. This result differs from the findings by Bessembinder (1999, p. 404) that "trade execution costs on Nasdaq in late 1997 are no longer significantly explained by a tendency for liquidity providers to avoid odd–eighth quotations," and "odd–sixteenth avoidance has little relevance for explaining post–reform Nasdaq trading costs."     

Price discovery in tick time

This paper develops a tick time model for the quote setting dynamics on Nasdaq. The model decomposes quotes into an efficient price, asymmetric information and noise. Both the evolution of the efficient price and the information contents of quotes depend on quote durations. New measures for the contribution to price discovery are defined within this model. When aggregated to fixed calendar time intervals, they relate closely to Hasbrouck [Hasbrouck, Joel, 1995, One security, many markets: determining the contribution to price discovery, Journal of Finance 50, 1175–1199] information shares. Empirical results for 20 Nasdaq stocks indicate that ECNs, in particular Island, contribute most to price discovery for active stocks. For less active stocks, wholesale market makers contribute most.     

What Explains the Bid‐Ask Spread Decline after Nasdaq Reforms?

This paper examines whether the decrease in bid‐ask spreads on Nasdaq after the 1997 reforms is due to a decrease in market‐making costs and/or an increase in market competition for order flows. Unlike previous studies, we jointly examine how competition and trading costs affect bid‐ask spreads. In addition, we separate the effects of informed trading and liquidity costs on bid‐ask spreads. Informed trading cost is directly estimated for each Nasdaq stock using a Bayesian theoretic model. Empirical results show that market‐making costs and competition significantly affect bid‐ask spreads. The post‐reform decrease in bid‐ask spreads is largely due to both an increase in competition and a decrease in informed trading and liquidity costs on Nasdaq.     

Information,sell-side research,and market making

The interaction between an investment bank's research and market making arms may have important implications for the trading of a firm's stock. We investigate the impact that research has on the liquidity provided by the bank's market maker. Utilizing a large sample of Nasdaq firms, we show that market makers whose banks also provide research coverage provide more liquidity and contribute more to price discovery than do market makers without such research coverage. Finally, we show that such “affiliated” market makers are less affected by uncertainty following earnings announcements. Our results provide new evidence on the sources of liquidity improvements for Nasdaq firms, and suggest that the information produced by banks in the sell-side research process is beneficial to their market makers.     

Cost of Transacting and Expected Returns in the Nasdaq Market

This article empirically examines the liquidity premium predicted by the Amihud and Mendelson (1986) model using Nasdaq data over the 1973–1990 period. The results support the model and are much stronger than for the New York Stock Exchange (NYSE), as reported by Chen and Kan (1989) and Eleswarapu and Reinganum (1993) . I conjecture that the stronger evidence on the Nasdaq is due to the dealers' inside spreads on the Nasdaq being a better proxy for the actual cost of transacting than the quoted spreads on the NYSE, since the Nasdaq dealers do not face competition from limit orders or floor traders.     

The Delisting Bias in CRSP's Nasdaq Data and Its Implications for the Size Effect

We investigate the bias in CRSP's Nasdaq data due to missing returns for delisted stocks. We find that the missing returns are large and negative on average, and that delisted stocks experience a substantial decrease in liquidity. We estimate that using a corrected return of −55 percent for missing performance-related delisting returns corrects the bias. We revisit previous work which finds a size effect among Nasdaq stocks. After correcting for the delisting bias, there is no evidence that there ever was a size effect on Nasdaq. Our results are inconsistent with most risk-based explanations of the size effect.     

Order imbalance and liquidity supply: Evidence from the bubble burst of Nasdaq stocks

In this study we analyze the effect of order imbalance on the quotation behavior of Nasdaq market makers. We find that Nasdaq market makers use both price and quantity quotes when dealing with order imbalances. However, order imbalance affects only price movement, not spreads. We also find that Nasdaq market makers quote more shares and compete more intensively on bid-side (ask-side) when public sells (buys) exceed public buys (sells). These suggest that market makers increase liquidity supply when order imbalances exist. More interestingly, we show that both market conditions and price movements affect investors' trading behavior.     

Nasdaq Trading and Trading Costs: 1993–2002

Nasdaq spreads decline from 1993 to 2002, largely independently of tick‐size reductions. Trade size declines, consistent with greater retail investor activity. Using the method of Chordia, Roll, and Subrahmanyam (2001), we find that concurrent market returns strongly affect liquidity and trading activity. Liquidity exhibits distinct day‐of‐the‐week patterns. There is little evidence that macroeconomic announcements or changes in key interest rates affect Nasdaq stocks overall; but in the bear market, we find a relation between some of these variables and effective spreads, which we interpret as consistent with Nasdaq participants' paying greater attention to fundamentals after the market crash.     

The Impact of the Reduction in Tick Increments in Major U.S. Markets on Spreads,Depth, and Volatility

This study presents an analysis of the impact of the introduction of quotes in sixteenths of a dollar on the AMEX, Nasdaq, and NYSE in mid-1997 on select market characteristics such as spreads, effective spreads, quoted depth, and volume. The findings of the study document reductions in the bid-ask spread, effective spread, and a statistically significant increase in the number of quotes. Interestingly, we find that liquidity, as measured by the total depth at the bid and ask, declines significantly on the AMEX and NYSE, but increases on the Nasdaq. Trading volume increases on the NYSE, but remains unchanged for the AMEX and Nasdaq. We also find that the proportion of even-increment quotes is a relevant factor affecting percentage spreads for Nasdaq both before and after and for the NYSE only after the change in quoting increments.     

Stock Splits and Liquidity: The Case of the Nasdaq-100 Index Tracking Stock

In an attempt to disentangle the signaling effect from the liquidity effect of stock splits, I examine the liquidity changes following the two‐for‐one split of the Nasdaq‐100 Index Tracking Stock. Since there can be no signaling with an index stock split, any difference between pre‐ and postsplit trading may be driven by liquidity but not signaling effects. I find that though the postsplit relative bid‐ask spread is higher and daily turnover is unchanged, the frequency, share volume, and dollar‐volume of small trades all increased after the split, indicating that the split improved liquidity for small trade‐sizes.     

The pricing discount for limited liquidity: evidence from SWX Swiss Exchange and the Nasdaq

We investigate the pricing discount for limited liquidity. Unlike previous studies that have examined the relation between historical returns and liquidity, ours looks directly at current stock prices. This approach requires less data and yields up-to-date information about limited liquidity discounts. We analyze data from the Swiss exchange and the Nasdaq during 1995–2001, and find a statistically and economically significant price–liquidity relation in both markets. We test the robustness of that relation with a procedure that does not rely on specific distributional assumptions. Our findings are unaffected. According to the evidence, the median discount can reach 30%.     

Liquidity: Urban versus rural firms

Our paper examines the impact of geographic location on liquidity for U.S. rural- and urban-based companies. Even after adjusting for size and other factors, rural firms trade much less, are covered by fewer analysts, and are owned by fewer institutions than urban firms. Trading costs are higher for rural Nasdaq firms, and volume that can be attributed to marketwide factors is lower for rural stocks. The findings add to our understanding of the way that access to information and familiarity affect liquidity.