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Spekulation am Terminmarkt und die Preisentwicklung von Agrarrohstoffen am Kassamarkt: Eine Zeitreihenanalyse der CFTC Berichte für Weizen, Mais und Sojabohnen / Speculation in Futures Markets and the Impact on Agricultural Commodity Prices: A Time Series Analysis of the CFTC Reports for Wheat, Corn and Soybeans

Author

Listed:
  • Maul Daniel

    (Technische Universität Darmstadt, Fachbereich Rechts- und Wirtschaftswissenschaften, Fachgebiet Unternehmensfinanzierung, Hochschulstraße 1, 64289 Darmstadt, Germany)

  • Fischer Martin

    (Technische Universität Darmstadt, Fachbereich Rechts- und Wirtschaftswissenschaften, Fachgebiet Unternehmensfinanzierung, Hochschulstraße 1, 64289 Darmstadt, Germany)

  • Schiereck Dirk

    (Technische Universität Darmstadt, Fachbereich Rechts- und Wirtschaftswissenschaften, Fachgebiet Unternehmensfinanzierung, Hochschulstraße 1, 64289 Darmstadt, Germany)

Abstract

Over the last few years, rising prices and increasing price volatility of major agricultural food commodities were observed. This caused a debate among various organizations about who is responsible for this development. While many Non-Governmental Organizations proclaim that speculations in future markets cause the rise in food prices, academic research provides ambiguous results on this topic. This controversy is the motivation for this study. In order to offer additional insights, the relationship between the price changes of corn, wheat, and soybeans and the corresponding changes in open interests are analyzed. Commitments of Traders as well as Disaggregated Commitments of Traders reports are investigated to determine whether the activities of speculators adversely affect food prices. First, Johansen cointegration tests are employed to analyze the relationship between price and position data. Second, VAR and VECM are used to analyze short- and long-term dynamics. The results of the empirical analysis demonstrate that in the short-run price changes precede changes in open interest. Additionally, soybeans show a long-run equilibrium relationship between both series, indicating that speculators influenced past prices to some extent. However, the percentage price change is rather low. Therefore, sharp rises in soybean prices cannot be explained by it.

Suggested Citation

  • Maul Daniel & Fischer Martin & Schiereck Dirk, 2015. "Spekulation am Terminmarkt und die Preisentwicklung von Agrarrohstoffen am Kassamarkt: Eine Zeitreihenanalyse der CFTC Berichte für Weizen, Mais und Sojabohnen / Speculation in Futures Markets and the," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 235(6), pages 608-629, December.
    • Handle: RePEc:jns:jbstat:v:235:y:2015:i:6:p:608-629
    DOI: 10.1515/jbnst-2015-0606
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    References listed on IDEAS

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    1. repec:cup:cbooks:9781107034662 is not listed on IDEAS
    2. Dietrich Domanski & Alexandra Heath, 2007. "Financial investors and commodity markets," BIS Quarterly Review, Bank for International Settlements, March.
    3. Christopher L. Gilbert, 2010. "How to Understand High Food Prices," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(2), pages 398-425, June.
    4. Bahattin Büyükşahin & Jeffrey H. Harris, 2011. "Do Speculators Drive Crude Oil Futures Prices?," The Energy Journal, , vol. 32(2), pages 167-202, April.
    5. Brooks,Chris, 2014. "Introductory Econometrics for Finance," Cambridge Books, Cambridge University Press, number 9781107661455, December.
    6. Du, Xiaodong & Yu, Cindy L. & Hayes, Dermot J., 2011. "Speculation and volatility spillover in the crude oil and agricultural commodity markets: A Bayesian analysis," Energy Economics, Elsevier, vol. 33(3), pages 497-503, May.
    7. Domowitz, Ian & Hansch, Oliver & Wang, Xiaoxin, 2005. "Liquidity commonality and return co-movement," Journal of Financial Markets, Elsevier, vol. 8(4), pages 351-376, November.
    8. Helyette Geman, 2005. "Commodities and Commodity Derivatives. Modeling and Pricing for Agriculturals, Metals and Energy," Post-Print halshs-00144182, HAL.
    9. Louis Ederington & Jae Ha Lee, 2002. "Who Trades Futures and How: Evidence from the Heating Oil Futures Market," The Journal of Business, University of Chicago Press, vol. 75(2), pages 353-374, April.
    10. repec:dau:papers:123456789/607 is not listed on IDEAS
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    Cited by:

    1. Ballmann, Lars & Feil, Jan-Henning, 2020. "Anwendung der Prozesskostenrechnung in der Milchproduktion," 60th Annual Conference, Halle/ Saale, Germany, September 23-25, 2020 305606, German Association of Agricultural Economists (GEWISOLA).
    2. Feil, Jan-Henning & Wendt, Thilo, 2017. "Anwendung der Prozesskostenrechnung im Ackerbau," 57th Annual Conference, Weihenstephan, Germany, September 13-15, 2017 262150, German Association of Agricultural Economists (GEWISOLA).
    3. Ballmann, Lars & Feil, Jan-Henning, 2020. "Anwendung der Prozesskostenrechnung in der Milchproduktion," 60th Annual Conference, Halle/ Saale, Germany, September 23-25, 2020 305606, German Association of Agricultural Economists (GEWISOLA).
    4. Christian Koziol & Tilo Treuter, 2019. "How do speculators in agricultural commodity markets impact production decisions and commodity prices? A theoretical analysis," European Financial Management, European Financial Management Association, vol. 25(3), pages 718-743, June.

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