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Measuring the Impact of MiFID II on Information Asymmetries Using Microstructure Models

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  • Senn, Erik-Jan

Abstract

This paper evaluates the impact of the Markets in Financial Instruments Directive II (MiFID II) regulation on information asymmetries. The microstructure models of Madhavan et al. (1997) and Glosten and Harris (1988) are adapted to estimate potential changes in the adverse selection component of the spread. I use trade and quote data of 50 German stocks traded at the Cboe Europe Equities exchange. To classify trades in presence of uncertainly about the sequence of trades and quotes within a second, a robust classification method is developed. I find a short-term increase in adverse selection and transaction cost after the MiFID II implementation. A long-term reduction of information asymmetries due to the regulation is indicated and discussed.

Suggested Citation

  • Senn, Erik-Jan, 2020. "Measuring the Impact of MiFID II on Information Asymmetries Using Microstructure Models," Junior Management Science (JUMS), Junior Management Science e. V., vol. 5(2), pages 197-208.
  • Handle: RePEc:zbw:jumsac:294929
    DOI: 10.5282/jums/v5i2pp197-208
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    References listed on IDEAS

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    1. Huang, Roger D & Stoll, Hans R, 1997. "The Components of the Bid-Ask Spread: A General Approach," The Review of Financial Studies, Society for Financial Studies, vol. 10(4), pages 995-1034.
    2. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
    3. Madhavan, Ananth & Richardson, Matthew & Roomans, Mark, 1997. "Why Do Security Prices Change? A Transaction-Level Analysis of NYSE Stocks," The Review of Financial Studies, Society for Financial Studies, vol. 10(4), pages 1035-1064.
    4. Amihud, Yakov & Mendelson, Haim, 1987. "Trading Mechanisms and Stock Returns: An Empirical Investigation," Journal of Finance, American Finance Association, vol. 42(3), pages 533-553, July.
    5. Theissen, Erik & Zehnder, Lars Simon, 2014. "Estimation of trading costs: Trade indicator models revisited," CFR Working Papers 14-09, University of Cologne, Centre for Financial Research (CFR).
    6. Glosten, Lawrence R. & Harris, Lawrence E., 1988. "Estimating the components of the bid/ask spread," Journal of Financial Economics, Elsevier, vol. 21(1), pages 123-142, May.
    7. Stefan Frey & Joachim Grammig, 2006. "Liquidity supply and adverse selection in a pure limit order book market," Empirical Economics, Springer, vol. 30(4), pages 1007-1033, January.
    8. Roll, Richard, 1984. "A Simple Implicit Measure of the Effective Bid-Ask Spread in an Efficient Market," Journal of Finance, American Finance Association, vol. 39(4), pages 1127-1139, September.
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