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Nonlinear Intermediary Pricing in the Oil Futures Market

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Listed:
  • Daniel Bierbaumer
  • Malte Rieth
  • Anton Velinov

Abstract

We study the state-dependent trading behavior of financial intermediaries in the oil futures market, using structural vector autoregressions with Markov switching in heteroskedasticity. We decompose changes in futures price volatility into changes in the slopes of traders' demand curves and in the variability of their demand shocks. We find that the downward-sloping demand curve of intermediaries steepens significantly during turbulent times. Moreover, the variance of intermediaries' own demand shocks doubles during these episodes. These findings suggest that the futures pricing of intermediaries is nonlinear and increases the hedging costs of producers and processors of oil when volatility is high.

Suggested Citation

  • Daniel Bierbaumer & Malte Rieth & Anton Velinov, 2018. "Nonlinear Intermediary Pricing in the Oil Futures Market," Discussion Papers of DIW Berlin 1722, DIW Berlin, German Institute for Economic Research.
    • Handle: RePEc:diw:diwwpp:dp1722
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    More about this item

    Keywords

    Commodities; Structural VAR; Financial Intermediaries; State-dependency; Asset Pricing; Markov Switching;
    All these keywords.

    JEL classification:

    • 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
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market

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