Electronic Communications Networks and Liquidity on the Nasdaq

Electronic Communications Networks and Liquidity on the Nasdaq

Electronic Communications Networks and Liquidity on the Nasdaq James P. Weston Jones School of Management Rice University Background / Motivation • Electronic Communications Networks have been growing exponentially • Technological change has reduced search costs – leading to disintermediation • ECN’s are fast, cheap, and anonymous Background / Motivation • How has the growth of trading over ECNs affected: – Competition on the Nasdaq? • Trading costs • market concentration – Liquidity on the Nasdaq ? • Spreads •Depths Previous Problems on Nasdaq • Evidence of Imperfect Competition on Nasdaq – Christie and Schultz (JF 1994) – Weston (JF 2000) • New Regulations help ECNs • How have ECNs affected Competition ? What are ECNs ? • Electronic trading systems that use automated software to match buyers and sellers – Either internally or – Routed to Nasdaq • Currently regulated as brokers What makes ECNs different? • Unlike Traditional Nasdaq dealers, ECNs are AGENTS • ECNs commit no capital • ECNs charge an agent’s fee (Nasdaq dealers cannot charge such a fee) • Face no inventory / information costs What drives the growth of ECNs ? • Investors trade Directly • Electronic limit order book • Fast execution • Anonymity ECNs are anonymous • Nasdaq dealers may know the identity of the counter-party • ECN trading is completely anonymous • Great benefit to institutional investors ECNs increase transparency • Display orders off of the inside quotes • Allows investors to access limit order book • However – not a C.L.O.B. Major Players • Instinet (Reuters) – High level of liquidity – Oldest and largest – Focus on Institutional Traders • Island (Datek) – Technically sophisticated (open limit order book) – Retail and Day-traders •Others – Archipelago, RediBook, Bloomberg Trade book Market Share by ECN Share of Nasdaq Volume (%) ECN 1998 1999 Instinet 2.5 3.0 Island 0.8 4.9 Redi-Book 0.1 0.7 Bloomberg 0.4 0.6 All Others 0.1 0.5 Total 3.8 9.7 ECN Market Share by Volume Decile 10 8 6 1999 1998 4 Market Share 2 0 Lowest Highest volume volume Market Share : By Industry (1999) 20 16.5 16 12 8 4 0 Financials Transportation Software Internet Stocks The Growth of ECNs Market share of reported ECN volume 0.16 0.14 0.12 0.1 0.08 0.06 Market Share Market 0.04 0.02 0 Jan-96 Jan-97 Jan-98 Jan-99 Jan-00 The Decline in Nasdaq Spreads Average Quoted Spread for All Nasdaq Stocks 0.6 0.5 0.4 0.3 ($) 0.2 0.1 0 Jan-96 Jan-97 Jan-98 Jan-99 Jan-00 Is There a Relationship ? Time Series of Nasdaq Spreads and ECN activity 0.16 0.6 0.5 0.12 0.4 0.08 0.3 0.2 0.04 ECN Market Share Market ECN 0.1 0 0 Spread Quoted Average Jan-96 Jan-97 Jan-98 Jan-99 Jan-00 Previous Research on ECNs • Hendershott and Mendelson (forthcoming JF) – Positive liquidity effect of ECNs – Negative crowding effect • Simaan, Weaver and Whitcomb (WP 1998) – ECN’s are more likely to post odd-teen quotes • Huang (WP 2000) – ECNs contribute to price discovery Contributions of this Paper • Few academic studies on ECNs • Are ECNs competing with Nasdaq dealers ? • Do ECNs improve the liquidity of the Nasdaq? Data / Sample • All Nasdaq firms • Monthly market maker volume obtained from Nasdaq • Firm Characteristics from CRSP Research Design • Does the level of ECN activity affect liquidity for Nasdaq stocks? • Control for other factors that might have an effect on liquidity • Two methods: – Linear Regression – Matched Sampling Effect of ECNs on Liquidity (Linear Regression) =α + β Liquidityi,t 1 ln(ECNshare)i,t + β +ε Controlsi,t i,t β Ho: 1 = 0 (ECNs have no affect on Liquidity) β H1: 1 > 0 (ECNs increase Liquidity) Effect of ECNs on Liquidity Liquidity is measured as: • Spread •Depth • Market Concentration (HHI) Control variables are: Price, Volume, Volatility, and HHI Effect of ECNs on Liquidity (What do we expect for β ?) Quoted Relative Depth HHI Spread Spread ECN share ?/- ?/- ?/+ ?/- Price - ? + ? Volume - - + - Volatility + + - ? HHI + + - NA Effect of ECNs on Liquidity Estimates of β Quoted Relative Depth HHI Spread Spread ECN share -1.6% -1.6% 5.1% -4.1% T-statistic -5.33 -5.33 12.75 -10.25 R2 0.91 0.88 0.58 0.26 Effect of ECNs on Liquidity • Based on the linear regression, we find that an increase in ECN activity: – Decreases spreads – Increases Depth – Decreases Market Concentration Second Methodology Matched Sample • Nonlinearities / Endogeneity problems in the regression. • Use a method that does not rely on regression • Match firms based on Price, Volume, Volatility. Second Methodology Matched Sample • Take each pair of firms: – Assign each firm to High or Low ECN-share portfolio. • Test Differences in Portfolios. • We expect that firms in the High ECN- share portfolio have: lower spreads, greater depths and are less concentrated. Portfolio Percentage Differences (HIGHECN share – LOWECN share) ECN Share Spreads Depth HHI All Pairs 103% -2.6% 3.6% -15.3% Small 35.3% -1.1% 1.9% -7.8% Diff. Large 171% -3.8% 5.9% -22.5% Diff. Conclusions • ECN’s Market share has grown exponentially over the past 4 years • ECN’s lower spreads, increased depth and decrease market concentration. • Overall, ECNs improve liquidity on the Nasdaq. Caveats • What happens to ECN liquidity during a market crisis. • Are ECNs unfairly benefiting from an SEC loophole? • Will ECNs get CLOBbered Extensions / Future Work • Distinguish effects by type of ECN • Market Maker Entry / Exit • Anonymity.

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