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Does U.S. Monetary Policy Affect Crude Oil Future Price Volatility? An Empirical Investigation

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  • Alessandra Amendola
  • Vincenzo Candila
  • Antonio Scognamillo

Abstract

Modeling crude oil volatility is of substantial interest for both energy researchers and policy makers. Many authors emphasize the link between this volatility and some exogenous economic variables. This paper aims to investigate the impact of the U.S. Federal Reserve monetary policy on crude oil future price (COFP) volatility. By means of the recently proposed generalized autoregressive conditional heteroskedasticity-mixed data sampling (GARCH-MIDAS) model, the Effective Federal Fund Rate (EFFR) - as a proxy of the monetary policy - is plugged into the mean-reverting unit GARCH(1,1) model. Strong evidence of an inverse relation between the EFFR and COFP volatility is found. This means that an expansionary monetary policy is associated with an increase of the COFP volatility. Conjecturing that the unusual behavior of the COFP in 2007-2008 was driven by a monetary policy shock, we test the presence of mildly explosive behavior in the prices. The sup Augmented Dickey-Fuller test (SADF) confirms the presence of a bubble in the COFP series that started in October 2007 and ended in October 2008. We expect that the COFP-EFFR association could be affected by such a bubble. Therefore, we apply the same experimental set-up to two sub-samples - before and after October 2007. Interestingly, the results show that EFFR influence on COFP volatility is greater in the aftermath of the bubble.

Suggested Citation

  • Alessandra Amendola & Vincenzo Candila & Antonio Scognamillo, 2014. "Does U.S. Monetary Policy Affect Crude Oil Future Price Volatility? An Empirical Investigation," Working Papers - Economics wp2014_17.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    • Handle: RePEc:frz:wpaper:wp2014_17.rdf
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    Keywords

    Volatility; GARCH-MIDAS; Bubbles; Futures; Crude Oil.;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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