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A comparison of transaction costs on Xetra and on Nasdaq

Author

Listed:
  • Otto Loistl
  • Bernd Schossmann
  • Olaf Vetter
  • Alexander Veverka

Abstract

In today's financial world, providing high quality of order execution at low transaction costs is vitally important to the competitiveness of trading platforms; thus the stock market's microstructure has become a subject of fierce debate and models for computing transaction costs have been needed for quite a while. Capital market synergetics is appropriate to investigate the market microstructure's effectiveness and is implemented in the computer program KapSyn. In this paper we compare transaction costs for small, medium-size and block-size orders on each exchange, examining different market scenarios. By investigating the peculiarities of Xetra and of Nasdaq we point out their comparative advantages: calculation results clearly show the high operating efficiency of Nasdaq's small-order execution system and Xetra's favourable execution of medium-size and block-size orders. Investors' trading decisions may benefit from taking these results into account. For policy makers and academics these findings contribute to the debate about the optimal design of a market microstructure by highlighting the areas of high performance.

Suggested Citation

  • Otto Loistl & Bernd Schossmann & Olaf Vetter & Alexander Veverka, 2002. "A comparison of transaction costs on Xetra and on Nasdaq," Quantitative Finance, Taylor & Francis Journals, vol. 2(3), pages 199-216.
    • Handle: RePEc:taf:quantf:v:2:y:2002:i:3:p:199-216
    DOI: 10.1088/1469-7688/2/3/303
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    References listed on IDEAS

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    1. Brunnermeier, Markus K., 2001. "Asset Pricing under Asymmetric Information: Bubbles, Crashes, Technical Analysis, and Herding," OUP Catalogue, Oxford University Press, number 9780198296980.
    2. Wang, Jian-Xin, 2001. "Quote revision and information flow among foreign exchange dealers," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 11(2), pages 115-136, June.
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    Cited by:

    1. Tangian, Andranik, 2008. "Predicting DAX trends from Dow Jones data by methods of the mathematical theory of democracy," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1632-1662, March.
    2. Alderighi, Stefano, 2018. "The determinants of retail trading activity in emerging markets: A cross-market analysis," Global Finance Journal, Elsevier, vol. 37(C), pages 152-167.

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