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A local non-parametric model for trade sign inference

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Author Info
Adam Blazejewski (University of Sydney)
Richard Coggins (University of Sydney)
Abstract

We investigate a regularity in market order submission strategies for twelve stocks with large market capitalization on the Australian Stock Exchange. The regularity is evidenced by a predictable relationship between the trade sign (trade initiator), size of the trade, and the contents of the limit order book before the trade. We demonstrate this predictability by developing an empirical inference model to classify trades into buyer-initiated and seller-initiated. The model employs a local non-parametric method, k-nearest-neighbor, which in the past was used successfully for chaotic time series prediction. The k-nearest- neighbor with three predictor variables achieves an average out-of- sample classification accuracy of 71.40%, compared to 63.32% for the linear logistic regression with seven predictor variables. The result suggests that a non-linear approach may produce a more parsimonious trade sign inference model with a higher out-of-sample classification accuracy. Furthermore, for most of our stocks the observed regularity in market order submissions seems to have a memory of at least 30 trading days.

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Paper provided by EconWPA in its series Finance with number 0408009.

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Length: 17 pages
Date of creation: 30 Aug 2004
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Handle: RePEc:wpa:wuwpfi:0408009

Note: Type of Document - pdf; pages: 17
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Web page: http://129.3.20.41

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Related research
Keywords: Order submission; Trade classification; K-nearest-neighbor; Non-linear; Memory;

Find related papers by JEL classification:
G - Financial Economics

This paper has been announced in the following NEP Reports:

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.:
  1. Hedvall, Kaj & Niemeyer, Jonas & Rosenqvist, Gunnar, 1997. "Do Buyers and Sellers Behave Similarly in a Limit Order Book? A High-Frequency Data Examination of the Finnish Stock Exchange," Working Paper Series in Economics and Finance 160, Stockholm School of Economics.
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  2. Ahn, Hee-Joon & Cheung, Yan-Leung, 1999. "The intraday patterns of the spread and depth in a market without market makers: The Stock Exchange of Hong Kong," Pacific-Basin Finance Journal, Elsevier, vol. 7(5), pages 539-556, December. [Downloadable!] (restricted)
  3. Aitken, Michael & Frino, Alex, 1996. "The accuracy of the tick test: Evidence from the Australian stock exchange," Journal of Banking & Finance, Elsevier, vol. 20(10), pages 1715-1729, December. [Downloadable!] (restricted)
  4. Gencay, Ramazan, 1999. "Linear, non-linear and essential foreign exchange rate prediction with simple technical trading rules," Journal of International Economics, Elsevier, vol. 47(1), pages 91-107, February. [Downloadable!] (restricted)
  5. Ellis, Katrina & Michaely, Roni & O'Hara, Maureen, 2000. "The Accuracy of Trade Classification Rules: Evidence from Nasdaq," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(04), pages 529-551, December. [Downloadable!]
  6. Lee, Charles M C & Ready, Mark J, 1991. " Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-46, June. [Downloadable!] (restricted)
  7. Hamao, Yasushi & Hasbrouck, Joel, 1995. "Securities Trading in the Absence of Dealers: Trades and Quotes on the Tokyo Stock Exchange," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 8(3), pages 849-78. [Downloadable!] (restricted)
  8. Biais, Bruno & Hillion, Pierre & Spatt, Chester, 1995. " An Empirical Analysis of the Limit Order Book and the Order Flow in the Paris Bourse," Journal of Finance, American Finance Association, vol. 50(5), pages 1655-89, December. [Downloadable!] (restricted)
  9. Ranaldo, Angelo, 2004. "Order aggressiveness in limit order book markets," Journal of Financial Markets, Elsevier, vol. 7(1), pages 53-74, January. [Downloadable!] (restricted)
  10. Verhoeven, Peter & Ching, Simon & Guan Ng, Hock, 2004. "Determinants of the decision to submit market or limit orders on the ASX," Pacific-Basin Finance Journal, Elsevier, vol. 12(1), pages 1-18, January. [Downloadable!] (restricted)
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Cited by:
(explanations, 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.)

  1. Adam Blazejewski & Richard Coggins, 2004. "A piecewise linear model for trade sign inference," Finance 0412012, EconWPA. [Downloadable!]
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