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Liquidity in the Futures Pits: Inferring Market Dynamics from Incomplete Data

  • Joel Hasbrouck (a1)

Abstract

Motivated by economic models of sequential trade, empirical analyses of market dynamics frequently estimate liquidity as the coefficient of signed order flow in a price change regression. This paper implements such an analysis for futures transaction data from pit trading. To deal with the absence of timely bid and ask quotes (which are used to sign trades in most equity market studies), this paper proposes new techniques based on Markov chain Monte Carlo estimation. The model is estimated for four representative Chicago Mercantile Exchange contracts. The highest liquidity (lowest order flow coefficient) is found for the S&P 500 index. Liquidity for the Euro and U.K. £ contracts is somewhat lower. The pork belly contract exhibits the least liquidity.

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Ball, C. A., and Chordia, T.. “True Spreads and Equilibrium Prices.” Journal of Finance, 56 (2001), 18011835.
Carlin, B. P., and Louis, T. A.. Bayes and Empirical Bayes Methods for Data Analysis. London, England: Chapman and Hall (1996).
Casella, G., and George, E. I.. “Explaining the Gibbs Sampler.” The American Statistician, 46 (1992), 167190.
Chan, J., and Lakonishok, J.. “Institutional Trades and Intraday Trade Price Behavior.” Journal of Financial Economics, 33 (1993), 173199.
Chan, J., and Lakonishok, J.. “The Behavior of Stock Prices around Institutional Trades.” Journal of Finance, 50 (1995), 11471174.
Chib, S., and Greenberg, E.. “Markov Chain Monte Carlo Simulation Methods in Econometrics.” Econometric Theory, 12 (1996), 409431.
Christie, W. G.Harris, J. H. and Schultz, P. H.. “Why Did NASDAQ Market Makers Stop Avoiding Odd-Eighth Quotes?Journal of Finance, 49 (1994), 18411860.
Dutta, P. K., and Madhavan, A. M.. “Competition and Collusion in Dealer Markets.” Journal of Finance, 52 (1997), 245276.
Easley, D., and O'Hara, M.. “Price, Trade Size, and Information in Securities Markets.” Journal of Financial Economics, 19 (1987), 6990.
Easley, D., and O'Hara, M.. “Order Form and Information in Securities Markets.” Journal of Finance, 46 (1991), 905927.
Easley, D., and O'Hara, M... “Adverse Selection and Large Trade Volume: The Implications for Market Efficiency.” Journal of Financial and Quantitative Analysis, 27 (1992a), 185208.
Easley, D., and O'Hara, M.. “Time and the Process of Security Price Adjustment.” Journal of Finance, 47 (1992b), 576605.
Engle, R. F. “Bayesian Analysis of Stochastic Volatility Models: Comment.” Journal of Business and Economic Statistics, 12 (1994), 395396.
Evans, M. D. D.FX Trading and Exchange Rate Dynamics.” Journal of Finance, 57 (2002), 24052447.
Ferguson, M. F.Mann, S. C. and Schneck, L. J.. “Concentrated Trading in the Foreign Exchange Futures Markets: Discretionary Liquidity Trading or Market Closure.” Journal of Futures Markets, 18 (1998), 343362.
Gamerman, D.Markov Chain Monte Carlo. New York, NY: Chapman and Hall (1997).
George, T. J.Kaul, G. and Nimalendran, M.. “Estimation of the Bid-Ask Spread and Its Components: a New Approach.” Review of Financial Studies, 4(1991), 623656.
Gilks, W. R.Richardson, S. and Spiegelhalter, D. J.. “Introducing Markov Chain Monte Carlo.” In Markov Chain Monte Carlo in Practice, Gilks, W. R., Richardson, S., and Spiegelhalter, D.J., eds. London, England: Chapman and Hall (1996).
Glosten, L. R., and Harris, L. E.. “Estimating the Components of the Bid/Ask Spread.” Journal of Financial Economics, 21 (1988), 123142.
Glosten, L. R., and Milgrom, P. R.. “Bid, Ask, and Transaction Prices in a Specialist Market with Heterogeneously Informed Traders.” Journal of Financial Economics, 14 (1985), 71100.
Goodhart, C.Ito, T. and Payne, R.. “One Day in June 1993: A Study of the Working of the Reuters 2000–2 Electronic Foreign Exchange Trading System.” In The Microstructure of Foreign Exchange Markets, Frankel, J. A., Galli, G., and Giovannini, A., eds. Chicago, IL: Univ. of Chicago Press (1996).
Hamilton, J. D.Time Series Analysis. Princeton, NJ: Princeton Univ. Press (1994).
Harris, L. E.Estimation of Stock Price Variances and Serial Covariances from Discrete Observations.” Journal of Financial and Quantitative Analysis, 25 (1990a), 291306.
Harris, L. E.. “Statistical Properties of the Roll Serial Covariance Bid/Ask Spread Estimator.” Journal of Finance, 45 (1990b), 579590.
Harris, L. E.. “Stock Price Clustering and Discreteness.” Review of Financial Studies, 4 (1991), 389415.
Harris, L. E.. “Minimum Price Variations, Discrete Bid-Ask Spreads, and Quotation Sizes.” Review of Financial Studies, 7 (1994), 149178.
Harris, L. E.. “Decimalization: A Review of the Arguments and Evidence.” Univ. of Southern California (1997a).
Harris, L. E.. “Does a Large Minimum Price Variation Encourage Order Exposure?School of Business Administration, Univ. of Southern California (1997b).
Hasbrouck, J.Trades, Quotes, Inventories, and Information.” Journal of Financial Economics, 22 (1988), 229252.
Hasbrouck, J.. “Measuring the Information Content of Stock Trades.” Journal of Finance, 46 (1991a), 179207.
Hasbrouck, J.. “The Summary Informativeness of Stock Trades: An Econometric Analysis.” Review of Financial Studies, 4 (1991b), 571595.
Hasbrouck, J.. “Using the TORQ Database.” New York Stock Exchange (1992).
Hasbrouck, J.. “Modeling Microstructure Time Series.” In Handbook of Statistics 14: Statistical Methods in Finance, Maddala, G. S. and Rao, C. R., eds. Amsterdam: Elsevier North Holland (1996a).
Hasbrouck, J.. “Order Characteristics and Stock Price Evolution: an Application to Program Trading.” Journal of Financial Economics, 41 (1996b), 129149.
Hasbrouck, J.. “The Dynamics of Discrete Bid and Ask Quotes.” Journal of Finance, 54 (1999a), 21092142.
Hasbrouck, J.. “Security Bid/Ask Dynamics with Discreteness and Clustering: Simple Strategies for Modeling and Estimation.” Journal of Financial Markets, 2 (1999b), 128.
Hasbrouck, J.. “Trading Costs and Returns for U.S. Equities: The Evidence from Daily Data.” Stern School of Business, New York Univ. (2003).
Hasbrouck, J., and Ho, T. S. Y.. “Order Arrival, Quote Behavior, and the Return-Generating Process.” Journal of Finance, 42 (1987), 10351048.
Holthausen, R. W.Leftwich, R. W. and Mayers, D.. “The Effect of Large Block Transactions on Security Prices.” Journal of Financial Economics, 19 (1987), 237267.
Holthausen, R. W.Leftwich, R. W. and Mayers, D.. “Large Block Transactions, the Speed of Response, and Temporary and Permanent Stock Price Effects.” Journal of Financial Economics, 26 (1990), 7195.
Huang, R. D., and Stoll, H. R.. “Market Microstructure and Stock Return Predictions.” Review of Financial Studies, 7 (1994), 179213.
Huang, R. D., and Stoll, H. R.. “The Components of the Bid-Ask Spread: A General Approach.” Review of Financial Studies, 10 (1997), 9951034.
Jacquier, E.Polson, N. G. and Rossi, P. E.. “Bayesian Analysis of Stochastic Volatility Models.” Journal of Business and Economic Statistics, 12 (1994), 371389.
Jones, C. S.The Dynamics of Stochastic Volatility: Evidence from Underlying and Options Markets.” Simon School of Business, Rochester Univ. (2002).
Kandel, E., and Marx, L. M.. “NASDAQ Market Structure and Spread Patterns.” Journal of Financial Economics, 45 (1997), 6189.
Kim, C.-J., and Nelson, C. R.. State-Space Models with Regime Switching. Cambridge, MA: MIT Press (2000).
Kim, S.Shephard, N. and Chib, S.. “Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models.” Review of Economic Studies, 65 (1998), 361393.
Laux, P. A., and Senchack, A. J. Jr, “Bid-Ask Spreads in Financial Futures.” Journal of Futures Markets, 12 (1992), 621634.
Lee, C. M. C., and Ready, M. J.. “Inferring Trade Direction from Intraday Data.” Journal of Finance, 46 (1991), 733746.
Locke, P. R., and Venkatesh, P. C.. “Futures Market Transactions Costs.” Journal of Futures Markets, 17 (1997), 229245.
Lyons, R. K.Tests of Microstructural Hypotheses in the Foreign Exchange Market.” Journal of Financial Economics, 39 (1995), 321351.
Lyons, R. K.. “A Simultaneous Trade Model of the Foreign Exchange Hot Potato.” Journal of International Economics, 42 (1997), 275298.
Lyons, R. K.. The Microstructure Approach to Foreign Exchange Rates. Cambridge, MA: MIT Press (2001).
Ma, C. K.Peterson, R. L. and Sears, R. S.. “Trading Noise, Adverse Selection and Intraday Bid-Ask Spreads in Futures Markets.” Journal of Futures Markets, 12 (1992), 519538.
Madhavan, A. and Roomans, M.. “Why Do Security Prices Change?Review of Financial Studies, 10 (1997), 10351064.
Manaster, S., and Mann, S. C.. “Life in the Pits: Competitive Market Making and Inventory Control.” Review of Financial Studies, 9 (1996), 953975.
Odders-White, E. R.On the Occurrence and Consequences of Inaccurate Trade Classification.” Journal of Financial Markets, 3 (2000), 259286.
O'Hara, M.Market Microstructure Theory. Cambridge, MA: Blackwell Publishers (1995).
Roll, R.A Simple Implicit Measure of the Effective Bid-Ask Spread in an Efficient Market.” Journal of Finance, 39 (1984), 11271139.
Schwert, G. W.Symposium on Market Microstructure: Focus on NASDAQ.” Journal of Financial Economics, 45 (1997), 18.
Shephard, N.Fitting Nonlinear Time-Series Models with Applications to Stochastic Variance Models.” Journal of Applied Econometrics, 8 (1993), S135–S152.
Smith, T., and Whaley, R. E.. “Estimating the Effective Bid/Ask Spread from Time and Sales Data.” Journal of Futures Markets, 14 (1994), 437455.
Subrahmanyam, A.A Theory of Trading in Stock Index Futures.” Review of Financial Studies, 4 (1991), 1751.
U.S. Securities and Exchange Commission. Final Rule: Disclosure of Order Routing and Execution Practices. (2001).

Liquidity in the Futures Pits: Inferring Market Dynamics from Incomplete Data

  • Joel Hasbrouck (a1)

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