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An Index Is An Index Is An Index?

Author

Listed:
  • Thorsten Freihube
  • Erik Theissen

Abstract

Before June 1999, Deutsche Börse AG published two parallel index values, one calculated from floor prices and the other from Xetra prices. Since 1999, Deutsche Börse has calculated the DAX blue-chip index and the MDAX mid-cap index using only the prices of the electronic trading system Xetra. This paper analyzes the quality of the two indexes empirically. The results allow us to evaluate the decision taken by Deutsche Börse AG. We find that the Xetra-DAX is superior to the floor-DAX, but that the Xetra-MDAX is inferior to the floor MDAX. Our analysis also provides insights on the relative merits of floor and screen trading systems.

Suggested Citation

  • Thorsten Freihube & Erik Theissen, 2001. "An Index Is An Index Is An Index?," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 53(4), pages 295-320, October.
  • Handle: RePEc:sbr:abstra:v:53:y:2001:i:4:p:295-320
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    Citations

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    Cited by:

    1. Theissen, Erik, 2002. "Price discovery in floor and screen trading systems," Journal of Empirical Finance, Elsevier, vol. 9(4), pages 455-474, November.
    2. Erik Theissen, 2012. "Price discovery in spot and futures markets: a reconsideration," The European Journal of Finance, Taylor & Francis Journals, vol. 18(10), pages 969-987, November.
    3. Iwatsubo, Kentaro & Watkins, Clinton & Xu, Tao, 2018. "Intraday seasonality in efficiency, liquidity, volatility and volume: Platinum and gold futures in Tokyo and New York," Journal of Commodity Markets, Elsevier, vol. 11(C), pages 59-71.
    4. Baur, Dirk & Jung, Robert C., 2006. "Return and volatility linkages between the US and the German stock market," Journal of International Money and Finance, Elsevier, vol. 25(4), pages 598-613, June.
    5. Theissen, Erik, 2003. "Organized equity markets in Germany," CFS Working Paper Series 2003/17, Center for Financial Studies (CFS).
    6. Kentaro Iwatsubo & Clinton Watkins & Tao Xu, 2017. "Intraday Seasonality in Efficiency, Liquidity, Volatility and Volume: Platinum and Gold Futures in Tokyo and New York," Discussion Papers 1715, Graduate School of Economics, Kobe University.

    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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