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Option-implied expectations in commodity markets and monetary policy

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  • Triantafyllou, Athanasios
  • Dotsis, George

Abstract

In this paper we estimate the dynamic interactions between option-implied variance and skewness in agricultural commodity markets and monetary policy. Using a structural vector autoregressive (SVAR) framework, we find that an expansionary (contractionary) monetary policy upwardly (downwardly) revises commodity markets’ expectations about the price and volatility path of agricultural products. On the other hand, our empirical analysis reveals that monetary policy does not have a systematic and timely response to sudden changes in option implied expectations of commodity investors. In addition, we provide empirical evidence showing the robust forecasting power of agricultural option-implied information on monetary policy with R2 values reaching almost 52%.

Suggested Citation

  • Triantafyllou, Athanasios & Dotsis, George, 2017. "Option-implied expectations in commodity markets and monetary policy," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 1-17.
    • Handle: RePEc:eee:jimfin:v:77:y:2017:i:c:p:1-17
    DOI: 10.1016/j.jimonfin.2017.06.002
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    Cited by:

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    2. Özbekler, Ali Gencay & Kontonikas, Alexandros & Triantafyllou, Athanasios, 2021. "Volatility forecasting in European government bond markets," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1691-1709.
    3. Yang Liu & Liyan Han & Libo Yin, 2018. "Does news uncertainty matter for commodity futures markets? Heterogeneity in energy and non‐energy sectors," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(10), pages 1246-1261, October.
    4. Lyu, Yongjian & Yi, Heling & Cao, Jin & Yang, Mo, 2022. "Time-varying monetary policy shocks and the dynamics of Chinese commodity prices," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    5. Laurent Ferrara & Aikaterina Karadimitropoulou & Athanasios Triantafyllou & Theodora Bermpei, 2022. "Commodity currencies revisited: The role of global commodity price uncertainty," EconomiX Working Papers 2022-24, University of Paris Nanterre, EconomiX.
    6. Manuel Ammann & Mathis Moerke & Marcel Prokopczuk & Christoph Matthias Würsig, 2023. "Commodity tail risks," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(2), pages 168-197, February.
    7. Lyu, Yongjian & Yi, Heling & Hu, Yingyi & Yang, Mo, 2021. "Economic uncertainty shocks and China's commodity futures returns: A time-varying perspective," Resources Policy, Elsevier, vol. 70(C).
    8. Bermpei, Theodora & Karadimitropoulou, Aikaterini & Triantafyllou, Athanasios & Alshalahi, Jebreel, 2023. "Does commodity price uncertainty matter for the cost of credit? Evidence from developing and advanced economies," Journal of Commodity Markets, Elsevier, vol. 29(C).
    9. Xu, Wei & Šević, Aleksandar & Šević, Željko, 2022. "Implied volatility surface construction for commodity futures options traded in China," Research in International Business and Finance, Elsevier, vol. 61(C).
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    More about this item

    Keywords

    Monetary policy; Implied variance and skewness; Agricultural commodities;
    All these keywords.

    JEL classification:

    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • G1 - Financial Economics - - General Financial Markets
    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture

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