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Commodity price volatility and U.S. monetary policy: Commodity price overshooting revisited

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  • Sima Siami‐Namini
  • Darren Hudson
  • Adao Alexandre Trindade
  • Conrad Lyford

Abstract

Commodity price volatility has created concerns for central bank policy‐makers. Recent commodity prices peaked in the consequences of the financial crisis of 2007, and they have remained relatively volatile since. As they are often seen as being connected in a cause and effect relationship with inflation and real output, the driving forces behind commodity price volatility are necessary for the conduct of monetary policy. Using an autoregressive moving average with an exponential generalized autoregressive conditional heteroscedastic (ARMA‐EGARCH) process, we extract the conditional variance series to find volatility spillover between monetary policy and commodity price index. The findings show that the volatility of agricultural commodity price index and other commodities price indices overshoot the long‐run equilibrium price in response to an impulse in monetary policy.

Suggested Citation

  • Sima Siami‐Namini & Darren Hudson & Adao Alexandre Trindade & Conrad Lyford, 2019. "Commodity price volatility and U.S. monetary policy: Commodity price overshooting revisited," Agribusiness, John Wiley & Sons, Ltd., vol. 35(2), pages 200-218, April.
    • Handle: RePEc:wly:agribz:v:35:y:2019:i:2:p:200-218
    DOI: 10.1002/agr.21564
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    References listed on IDEAS

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    1. Jeffrey A. Frankel, 2008. "The Effect of Monetary Policy on Real Commodity Prices," NBER Chapters, in: Asset Prices and Monetary Policy, pages 291-333, National Bureau of Economic Research, Inc.
    2. Ardeni, Pier Giorgio & Freebairn, John, 2002. "The macroeconomics of agriculture," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 2, chapter 28, pages 1455-1485, Elsevier.
    3. Bakucs, Lajos Zoltan & Ferto, Imre, 2005. "Monetary Impacts and Overshooting of Agricultural Prices in a Transition Economy," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24711, European Association of Agricultural Economists.
    4. Sima Siami-Namini & Akbar Siami Namin, 2018. "Forecasting Economics and Financial Time Series: ARIMA vs. LSTM," Papers 1803.06386, arXiv.org.
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    Cited by:

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    2. Marek Vochozka & Svatopluk Janek & Zuzana Rowland, 2023. "Coffee as an Identifier of Inflation in Selected US Agglomerations," Forecasting, MDPI, vol. 5(1), pages 1-17, January.
    3. Jiawu Dai & Liurui Deng & Lan Yang, 2021. "Testing the absorber hypothesis of exchange rates for the overshooting of agricultural prices in China," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(8), pages 327-336.
    4. Abootaleb Shirvani, 2020. "Stock Returns and Roughness Extreme Variations: A New Model for Monitoring 2008 Market Crash and 2015 Flash Crash," Applied Economics and Finance, Redfame publishing, vol. 7(3), pages 78-95, May.
    5. Jahantigh , Forough & Rahmi Ghasemabadi , Mohammad & Jalali , Omolbanin, 2018. "The Impact of Monetary Policy Shock on the Price of Storable Goods: A Case Study of Food," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 13(4), pages 471-490, October.
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    8. Sima Siami‐Namini, 2021. "U.S. Monetary Policy and Commodity Prices: A SVECM Approach," Economic Papers, The Economic Society of Australia, vol. 40(4), pages 288-312, December.

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