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Impact of Petroleum Energy Price Volatility on Commodity Prices in Ghana

Author

Listed:
  • Philomena Dadzie

    (University of Professional Studies, Accra, Ghana)

  • Nicholas Bamegne Nambie

    (Valley View University, Oyibi, Accra, Ghana.)

  • Belinda Ameh Obobi

    (University of Professional Studies, Accra, Ghana)

Abstract

The purpose of this article is to demonstrate the relationship between petroleum energy volatility and commodity prices in Ghana, which are indexed (energy grains, meat, and cooking oil), as well as to provide an empirical specification of the impact's direction. With reference to time series literature, the paper examined energy and commodity price connection models such as augmented dickey fuller, granger causality, co-integration, vector autoregressive and the vector error correction models used in estimating the association among petroleum energy volatility and the three selected commodity variables. The paper found that, there is a long run relationship between petroleum energy volatility and commodity prices in Ghana from 2011 to 2022. A single equation error correction model suggested that, petroleum energy shocks increase prices of grains, meat and cooking oil in both the short and long run. Impulse response function and variance decomposition conducted on the variables also suggested that there is both short and long run association between the variables.

Suggested Citation

  • Philomena Dadzie & Nicholas Bamegne Nambie & Belinda Ameh Obobi, 2023. "Impact of Petroleum Energy Price Volatility on Commodity Prices in Ghana," International Journal of Economics and Financial Issues, Econjournals, vol. 13(1), pages 73-82, January.
    • Handle: RePEc:eco:journ1:2023-01-9
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    Cited by:

    1. Abderrazek Ben Hamouda, 2024. "Revisiting the relationship between Oil Price and Food Prices in the US: Evidence from Threshold Cointegration with Asymmetric Adjustment," International Journal of Energy Economics and Policy, Econjournals, vol. 14(2), pages 27-36, March.
    2. Mathias Tessmann & Carlos Carrasco-Gutierrez & Omar Khodr & Luiz Augusto Magalhães & Marcelo Passos, 2024. "Volatility Transmission and Market Connectivity of Metals and Energy Commodities: Insights from the Spillover Index," International Journal of Energy Economics and Policy, Econjournals, vol. 14(3), pages 609-618, May.

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    More about this item

    Keywords

    Petroleum energy price volatility; Commodity prices;

    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
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

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