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Liquidity-Induced Dynamics in Futures Markets

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  • Fagan, Stephen
  • Gencay, Ramazan

Abstract

Futures contracts on the New York Mercantile Exchange are the most liquid instruments for trading crude oil, which is the world’s most actively traded physical commodity. Under normal market conditions, traders can easily find counterparties for their trades, resulting in an efficient market with virtually no return predictability. Yet even this extremely liquid instrument suffers from liquidity shocks that induce periods of increased volatility and significant return predictability. This paper identifies an important and recurring cause of these shocks: the accumulation of extreme and opposing positions by the two main trader classes in the market, namely hedgers and speculators. As positions become extreme, approaching their historical limits, counterparties for trades become scarce and prices must adjust to induce trade. These liquidity-induced price adjustments are found to be driven by systematic speculative behavior and are determined to be significant.

Suggested Citation

  • Fagan, Stephen & Gencay, Ramazan, 2008. "Liquidity-Induced Dynamics in Futures Markets," MPRA Paper 6677, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:6677
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    References listed on IDEAS

    as
    1. Sanders, Dwight R. & Boris, Keith & Manfredo, Mark, 2004. "Hedgers, funds, and small speculators in the energy futures markets: an analysis of the CFTC's Commitments of Traders reports," Energy Economics, Elsevier, vol. 26(3), pages 425-445, May.
    2. Tarun Chordia & Richard Roll & Avanidhar Subrahmanyam, 2001. "Market Liquidity and Trading Activity," Journal of Finance, American Finance Association, vol. 56(2), pages 501-530, April.
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    7. Tarun Chordia & Asani Sarkar & Avanidhar Subrahmanyam, 2003. "An empirical analysis of stock and bond market liquidity," Staff Reports 164, Federal Reserve Bank of New York.
    8. Gary B. Gorton & Fumio Hayashi & K. Geert Rouwenhorst, 2013. "The Fundamentals of Commodity Futures Returns," Review of Finance, European Finance Association, vol. 17(1), pages 35-105.
    9. Gençay, Ramazan & Dacorogna, Michel & Muller, Ulrich A. & Pictet, Olivier & Olsen, Richard, 2001. "An Introduction to High-Frequency Finance," Elsevier Monographs, Elsevier, edition 1, number 9780122796715.
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    Cited by:

    1. Cifarelli, Giulio & Paladino, Giovanna, 2015. "A dynamic model of hedging and speculation in the commodity futures markets," Journal of Financial Markets, Elsevier, vol. 25(C), pages 1-15.
    2. Tröster, Bernhard & Gunter, Ulrich, 2022. "Trading for speculators: The role of physical actors in the financialization of coffee, cocoa and cotton value chains," Working Papers 68, Austrian Foundation for Development Research (ÖFSE).
    3. Cifarelli, Giulio & Paladino, Giovanna, 2011. "Hedging vs. speculative pressures on commodity futures returns," MPRA Paper 28229, University Library of Munich, Germany.
    4. Wang, Tao & Yang, Jian, 2010. "Nonlinearity and intraday efficiency tests on energy futures markets," Energy Economics, Elsevier, vol. 32(2), pages 496-503, March.

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    More about this item

    Keywords

    Liquidity; Futures Markets; Return Predictability; Volatility; Trader Positions; Directional Realized Volatility; Hedgers; Speculators; Position Bounds;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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