Relation between Bid-Ask Spread, Impact and Volatility in Double Auction Markets

We show that the cost of market orders and the profit of infinitesimal market-making or -taking strategies can be expressed in terms of directly observable quantities, namely the spread and the lag-dependent impact function. Imposing that any market taking or liquidity providing strategies is at best marginally profitable, we obtain a linear relation between the bid-ask spread and the instantaneous impact of market orders, in good agreement with our empirical observations on electronic markets. We then use this relation to justify a strong, and hitherto unnoticed, empirical correlation between the spread and the volatility_per trade_, with R^2s exceeding 0.9. This correlation suggests both that the main determinant of the bid-ask spread is adverse selection, and that most of the volatilitycomes from trade impact. We argue that the role of the time-horizon appearing in the definition of costs is crucial and that long-range correlations in the order flow, overlooked in previous studies, must be carefully factored in. We find that the spread is significantly larger on the nyse, a liquid market with specialists, where monopoly rents appear to be present.

[1]  Robert F. Engle,et al.  The Econometrics of Ultra-High Frequency Data , 1996 .

[2]  F. Lillo,et al.  The Long Memory of the Efficient Market , 2003, cond-mat/0311053.

[3]  Tarun Chordia,et al.  Order imbalance and individual stock returns: theory and evidence , 2004 .

[4]  F. Lillo,et al.  Econophysics: Master curve for price-impact function , 2003, Nature.

[5]  J. Farmer,et al.  The Predictive Power of Zero Intelligence in Financial Markets , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[6]  F. Lillo,et al.  What really causes large price changes? , 2003, cond-mat/0312703.

[7]  H. Luckock A steady-state model of the continuous double auction , 2003 .

[8]  Tarun Chordia,et al.  Order Imbalance and Individual Stock Returns , 2002 .

[9]  Maureen O'Hara,et al.  Market Microstructure Theory , 1995 .

[10]  Lawrence R. Glosten,et al.  Components of the Bid-Ask Spread and the Statistical Properties of Transaction Prices , 1987 .

[11]  R. A. Schwartz,et al.  The Ecology of an Order-Driven Market , 1998 .

[12]  A. Kyle Continuous Auctions and Insider Trading , 1985 .

[13]  B. Rosenow,et al.  Order book approach to price impact , 2003, cond-mat/0311457.

[14]  Ananth N. Madhavan,et al.  Why Do Security Prices Change? A Transaction-Level Analysis of Nyse Stocks , 1996 .

[15]  How the trading activity scales with the company sizes in the FTSE 100 , 2004, cond-mat/0407769.

[16]  Hendrik Bessembinder,et al.  Bid-ask spreads in the interbank foreign exchange markets☆ , 1994 .

[17]  Xavier Gabaix,et al.  Quantifying stock-price response to demand fluctuations. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[18]  Joel Hasbrouck,et al.  Measuring the Information Content of Stock Trades , 1991 .

[19]  Fabrizio Lillo,et al.  There's More to Volatility than Volume , 2005 .

[20]  L. Gillemot,et al.  Statistical theory of the continuous double auction , 2002, cond-mat/0210475.

[21]  Martin D. D. Evans,et al.  Order Flow and Exchange Rate Dynamics , 1999, Journal of Political Economy.

[22]  J. Bouchaud,et al.  Fluctuations and Response in Financial Markets: The Subtle Nature of 'Random' Price Changes , 2003, cond-mat/0307332.

[23]  Ananth N. Madhavan,et al.  Market Microstructure: A Survey , 2000 .

[24]  Ohad Kadan,et al.  Limit Order Book as a Market for Liquidity , 2001 .

[25]  R. Almgren,et al.  Direct Estimation of Equity Market Impact , 2005 .

[26]  J. Kertész,et al.  Size matters : some stylized facts of the market revisited , 2008 .

[27]  Ian Domowitz,et al.  Liquidity in an Automated Auction , 2001 .

[28]  Giulia Iori,et al.  Quantitative model of price diffusion and market friction based on trading as a mechanistic random process. , 2003, Physical review letters.

[29]  Richard Roll,et al.  Orderimbalance, Liquidity and Market Returns , 2001 .

[30]  Hans R. Stoll,et al.  The Components of the Bid-Ask Spread: A General Approach, Reviews of Financial Studies , 1997 .

[31]  Lawrence Harris,et al.  Market vs. Limit Orders: The SuperDOT Evidence on Order Submission Strategy , 1996, Journal of Financial and Quantitative Analysis.

[32]  M. Mézard,et al.  Statistical properties of stock order books: empirical results and models , 2002, cond-mat/0203511.

[33]  Jean-Philippe Bouchaud,et al.  Random walks, liquidity molasses and critical response in financial markets , 2004, cond-mat/0406224.

[34]  Tarun Chordia,et al.  Liquidity Dynamics Across Small and Large Firms , 2004 .

[35]  Puneet Handa,et al.  Limit Order Trading , 1995 .

[36]  Burton Hollifield,et al.  Empirical Analysis of Limit Order Markets , 2001 .

[37]  Thierry Foucault,et al.  Order flow composition and trading costs in a dynamic limit order market 1 I am grateful to Bruno Bi , 1999 .

[38]  Paul R. Milgrom,et al.  Bid, ask and transaction prices in a specialist market with heterogeneously informed traders , 1985 .

[39]  F. Lillo,et al.  A Theory for Long-Memory in Supply and Demand , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[40]  Microstructure des marchés financiers , 2008 .

[41]  Bernd Rosenow FLUCTUATIONS AND MARKET FRICTION IN FINANCIAL TRADING , 2002 .

[42]  Hendrik Bessembinder,et al.  Issues in Assessing Trade Execution Costs , 2000 .

[43]  Szabolcs Mike,et al.  An empirical behavioral model of price formation , 2005 .