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Price Discovery in Thinly Traded Futures Markets: How Thin is Too Thin?

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  • Adaemmer, Philipp
  • Bohl, Martin T.
  • Christian, Groß

Abstract

We investigate the price dynamics of two illiquid agricultural futures contracts traded at the European Exchange in Frankfurt. Based on constant and time-varying vector error correction models, we measure the contribution of each futures market to price discovery. Although results from the constant model indicate a dominant role of both futures markets, time-varying parameters reveal strong fluctuations in the price discovery process of the less liquid futures market. By comparing the empirical results, we conclude that the trading volume threshold which is necessary to facilitate efficient price discovery is very low. Our findings also show that neglecting time-variation in the parameters can lead to misleading results, especially for thinly traded markets.

Suggested Citation

  • Adaemmer, Philipp & Bohl, Martin T. & Christian, Groß, 2015. "Price Discovery in Thinly Traded Futures Markets: How Thin is Too Thin?," Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113213, Verein für Socialpolitik / German Economic Association.
  • Handle: RePEc:zbw:vfsc15:113213
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    References listed on IDEAS

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    1. Guglielmo Maria Caporale & Davide Ciferri & Alessandro Girardi, 2014. "Time-Varying Spot and Futures Oil Price Dynamics," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(1), pages 78-97, February.
    2. Paul Brockman & Yiuman Tse, 1995. "Information shares in Canadian agricultural cash and futures markets," Applied Economics Letters, Taylor & Francis Journals, vol. 2(10), pages 335-338.
    3. Robin K. Chou & Huimin Chung, 2006. "Decimalization, trading costs, and information transmission between ETFs and index futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 26(2), pages 131-151, February.
    4. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178.
    5. de Jong, Frank, 2002. "Measures of contributions to price discovery: a comparison," Journal of Financial Markets, Elsevier, vol. 5(3), pages 323-327, July.
    6. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
    7. Baillie, Richard T. & Geoffrey Booth, G. & Tse, Yiuman & Zabotina, Tatyana, 2002. "Price discovery and common factor models," Journal of Financial Markets, Elsevier, vol. 5(3), pages 309-321, July.
    8. Black, Fischer, 1976. "The pricing of commodity contracts," Journal of Financial Economics, Elsevier, vol. 3(1-2), pages 167-179.
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    Cited by:

    1. Philipp Adämmer & Martin T. Bohl, 2015. "Price Discovery in European Agricultural Markets: When Do Futures Contracts Matter?," CQE Working Papers 4415, Center for Quantitative Economics (CQE), University of Muenster.
    2. Nigatu, Getachew & Adjemian, Michael K., 2016. "The U.S. Role in the Price Determination of Major Agricultural Commodities," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 236045, Agricultural and Applied Economics Association.

    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices

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