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Modelling Adverse Selection on Electronic Order-Driven Markets

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Abstract

The vast majority of models that decompose the bid/ask spread assume the quote-driven, specialist structure of the NYSE. This paper critically evaluates these models to construct a model specific for an electronic order-driven exchange. The model not only captures adverse selection and the impact of order flows on price discovery but it includes the imbalance of supply and demand inherent in the public limit order book. With this new model we investigate the change to anonymity on the Australian Securities Exchange (ASX). Following the change to anonymity, both adverse selection and the demand/supply imbalance have an increased impact on prices while order flow has a decreased influence, suggesting the change to anonymity has improved market efficiency. The model also uncovers a change in traders’ behavior once their fear of front-running is reduced. We show that the model is stable and robust across high liquidity stocks as well as stocks with as few as 5 trades per day.

Suggested Citation

  • Louis R. Mercorelli & David Michayluk & Anthony D. Hall, 2008. "Modelling Adverse Selection on Electronic Order-Driven Markets," Research Paper Series 220, Quantitative Finance Research Centre, University of Technology, Sydney.
  • Handle: RePEc:uts:rpaper:220
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    File URL: https://www.uts.edu.au/sites/default/files/qfr-archive-02/QFR-rp220.pdf
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    References listed on IDEAS

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    Cited by:

    1. Thu Phuong Pham, 2015. "Broker ID transparency and price impact of trades: evidence from the Korean Exchange," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 11(1), pages 117-131, February.
    2. Philip Brown, 2011. "International Financial Reporting Standards: what are the benefits?," Accounting and Business Research, Taylor & Francis Journals, vol. 41(3), pages 269-285, August.

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    More about this item

    Keywords

    bid-ask spread models; adverse selection; anonymity;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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