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Modeling Trade Direction

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Author Info
Rosenthal, Dale W.R.

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Abstract

The problem of classifying trades as buys or sells is examined. I propose estimated quotes for midpoint and bid/ask tests and a modeling approach to classification. Prevailing quotes are estimated using flexible approximations to the distribution for delays of quotes relative to trade timestamps. Classification is done by a generalized linear model which includes improved versions of midpoint, tick, and bid/ask tests. The model also considers the relative strengths of these tests, can account for market microstructure peculiarities, and allows for autocorrelations and cross-correlations in trade direction. The correlation modeling corrects for pseudoreplication, yielding more accurate standard errors and fixed effect estimates. Further, the model estimates probabilities of correct classification. The model is compared to various trade classification methods using a sample of 2,836 domestic US stocks from an unexplored, recent, and readily-available dataset. Out of sample, modeled classifications are 1-2% more accurate overall than current methods; this improvement is consistent across dates, sectors, and locations relative to the inside quote. For Nasdaq and NYSE stocks, 1% and 1.3% of the improvement comes from using relative strengths of the various tests; 0.9% and 0.7% of the improvement, respectively, comes from using some form of estimated quotes. For AMEX stocks, a 0.4% improvement is attributed to using a lagged version of the bid/ask test. I also find indications of short- and ultra-short-term alpha.

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Publisher Info
Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 10209.

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Date of creation: Aug 2008
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Handle: RePEc:pra:mprapa:10209

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Related research
Keywords: market microstructure; trade classification; generalized linear mixed model; ultra-high-frequency data analysis;

Find related papers by JEL classification:
G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies
C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications
D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    Other versions:
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  5. Stoll, Hans R. & Schenzler, Christoph, 2006. "Trades outside the quotes: Reporting delay, trading option, or trade size?," Journal of Financial Economics, Elsevier, vol. 79(3), pages 615-653, March. [Downloadable!] (restricted)
  6. Henker, Thomas & Wang, Jian-Xin, 2006. "On the importance of timing specifications in market microstructure research," Journal of Financial Markets, Elsevier, vol. 9(2), pages 162-179, May. [Downloadable!] (restricted)
  7. Keim, Donald B & Madhaven, Ananth, 1996. "The Upstairs Market for Large-Block Transactions: Analysis and Measurement of Price Effects," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 9(1), pages 1-36. [Downloadable!] (restricted)
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  10. Odders-White, Elizabeth R., 2000. "On the occurrence and consequences of inaccurate trade classification," Journal of Financial Markets, Elsevier, vol. 3(3), pages 259-286, August. [Downloadable!] (restricted)
  11. Boehmer, Ekkehart, 2005. "Dimensions of execution quality: Recent evidence for US equity markets," Journal of Financial Economics, Elsevier, vol. 78(3), pages 553-582, December. [Downloadable!] (restricted)
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