Modeling the effect of oil price on global fertilizer prices

  • Ping-Yu Chen
  • , Chia-Lin Chang
  • , Chi-Chung Chen
  • , Michael McAleer

Research output: Working paperAcademic

Abstract

The main purpose of this paper is to evaluate the effect of crude oil price on global fertilizer prices in both the mean and volatility. The endogenous structural breakpoint unit root test, the autoregressive distributed lag (ARDL) model, and alternative volatility models, including the generalized autoregressive conditional heteroskedasticity (GARCH) model, Exponential GARCH (EGARCH) model, and GJR model, are used to investigate the relationship between crude oil price and six global fertilizer prices. Weekly data for 2003-2008 for the seven price series are analyzed. The empirical results from ARDL show that most fertilizer prices are significantly affected by the crude oil price, which explains why global fertilizer prices reached a peak in 2008. We also find that that the volatility of global fertilizer prices and crude oil price from March to December 2008 are higher than in other periods, and that the peak crude oil price caused greater volatility in the crude oil price and global fertilizer prices. As volatility invokes financial risk, the relationship between oil price and global fertilizer prices and their associated volatility is important for public policy relating to the development of optimal energy use, global agricultural production, and financial integration.
Original languageEnglish
Place of PublicationRotterdam
Number of pages36
Publication statusPublished - Sept 2010

Publication series

SeriesEI report serie
VolumeEI 2010-56

Bibliographical note

This paper is a substantially revised version of “Modelling the Volatility in Global Fertilizer Prices”.

Research programs

  • EUR ESE 31

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