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Decimalization, ETFs and futures pricing efficiency

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  • Wei‐Peng Chen
  • Robin K. Chou
  • Huimin Chung

Abstract

This study investigates the impact of decimalization (penny pricing) on the arbitrage relationship between index exchange‐traded funds and E‐mini index futures. The empirical results reveal that subsequent to penny pricing, there is a significant fall in the mean ex ante arbitrage profit, especially in the cases with higher transaction costs. Using the ordinary least squares and quantile regressions to control for the influences of changes in other market characteristics, it is found that the overall pricing efficiency has deteriorated in the post‐decimalization period. These results are consistent with the hypothesis that, due to the lowered market depth and increased execution risks, the introduction of decimalization has in general resulted in weakening the ability and the willingness of arbitrageurs to initiate arbitrage trades, which subsequently leads to a reduction in the general efficiency of the cash/futures pricing system. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 29:157–178, 2009

Suggested Citation

  • Wei‐Peng Chen & Robin K. Chou & Huimin Chung, 2009. "Decimalization, ETFs and futures pricing efficiency," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 29(2), pages 157-178, February.
  • Handle: RePEc:wly:jfutmk:v:29:y:2009:i:2:p:157-178
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    Cited by:

    1. Thanos Verousis & Pietro Perotti & Georgios Sermpinis, 2018. "One size fits all? High frequency trading, tick size changes and the implications for exchanges: market quality and market structure considerations," Review of Quantitative Finance and Accounting, Springer, vol. 50(2), pages 353-392, February.
    2. Sunil S. Poshakwale & Jude W. Taunson & Anandadeep Mandal & Michael Theobald, 2019. "Lower tick sizes and futures pricing efficiency: evidence from the emerging Malaysian market," Review of Quantitative Finance and Accounting, Springer, vol. 53(4), pages 1135-1163, November.
    3. Gebka, Bartosz & Hudson, Robert S. & Atanasova, Christina V., 2015. "The benefits of combining seasonal anomalies and technical trading rules," Finance Research Letters, Elsevier, vol. 14(C), pages 36-44.
    4. Manahov, Viktor & Hudson, Robert & Hoque, Hafiz, 2015. "Return predictability and the ‘wisdom of crowds’: Genetic Programming trading algorithms, the Marginal Trader Hypothesis and the Hayek Hypothesis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 37(C), pages 85-98.
    5. Christoph Schmidhammer & Sebastian Lobe & Klaus Röder, 2014. "The real benchmark of DAX index products and the influence of information dissemination: A natural experiment," Journal of Asset Management, Palgrave Macmillan, vol. 15(2), pages 129-149, April.
    6. Jian Zhang & Lee W. Sanning & Sherrill Shaffer, 2010. "Market Efficiency Test in the VIX Futures Market," CAMA Working Papers 2010-08, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

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