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The day the index rose 11 %: a clinical study on price discovery reversal

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  • Christoph Schmidhammer
  • Sebastian Lobe
  • Klaus Röder

Abstract

On October 28, 2008, Germany’s leading equity index Deutscher Aktienindex (DAX) rose 11.28 % which is the highest daily performance since its inception. That day, the arbitrage relationship between the cash and the futures market broke down. Based on this clean natural experiment, we examine price innovation dynamics of DAX related spot products for the days surrounding the event day. We find that price discovery is strongly reversed during the extreme event day with futures losing their common leadership to less liquid index certificates of market leading issuers. Evidently, strategic quote setting of certificate issuers drives the negative futures spot basis. An important broader implication from our research is that such an event is not unlikely to reoccur in the future. Although the Deutsche Börse AG calculating the DAX has reconsidered its rules since then, 30 out of 49 leading indices around the world do not include a relative weight cap. When the number of included firms is additionally low, the odds of another “Volkswagen event” increase. 14 out of the 30 uncapped indices include less than 50 firms. Copyright Springer Science+Business Media New York 2016

Suggested Citation

  • Christoph Schmidhammer & Sebastian Lobe & Klaus Röder, 2016. "The day the index rose 11 %: a clinical study on price discovery reversal," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 79-106, January.
    • Handle: RePEc:kap:rqfnac:v:46:y:2016:i:1:p:79-106
    DOI: 10.1007/s11156-014-0462-4
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    More about this item

    Keywords

    Price discovery; Exchange traded funds; Index certificates; Index futures; G14; G13; C32; D4;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • 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
    • D4 - Microeconomics - - Market Structure, Pricing, and Design

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