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Dynamic Structure of the Spot Price of Crude Oil: Does Time Aggregation Matter?

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  • Barnett, William
  • Aghababa, Hajar

Abstract

This paper assess nonlinear structures in the time series data generating mechanism of crude oil prices. We apply well-known univariate tests for nonlinearity, with distinct power functions over alternatives, but with different null hypotheses reflecting the existence of different concepts of linearity and nonlinearity in the time series literature. We utilize daily data on crude oil spot prices for over 26 years, as well as monthly data on crude oil spot prices for 41 years. Investigating the monthly price process of crude oil distinguishes this paper from existing studies of the time series structure of energy markets. All the tests detect strong evidence of general nonlinear serial dependence, as well as nonlinearity in the mean, variance, and skewness functions in the daily spot price process of crude oil. Since evidence of nonlinear dependence is less dramatic in monthly observations, nonlinear serial dependence is moderated by time aggregation in crude oil prices.

Suggested Citation

  • Barnett, William & Aghababa, Hajar, 2016. "Dynamic Structure of the Spot Price of Crude Oil: Does Time Aggregation Matter?," MPRA Paper 73240, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:73240
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    Cited by:

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    2. Kyritsis, Evangelos & Serletis, Apostolos, 2018. "The zero lower bound and market spillovers: Evidence from the G7 and Norway," Research in International Business and Finance, Elsevier, vol. 44(C), pages 100-123.
    3. Bourghelle, David & Jawadi, Fredj & Rozin, Philippe, 2021. "Oil price volatility in the context of Covid-19," International Economics, Elsevier, vol. 167(C), pages 39-49.
    4. Zhou, Yang & Wang, Xiaoxiao & Dong, Rebecca Kechen & Pu, Ruihui & Yue, Xiao-Guang, 2022. "Natural resources commodity prices volatility: Evidence from COVID-19 for the US economy," Resources Policy, Elsevier, vol. 78(C).
    5. Alexander, Carol & Rauch, Johannes, 2021. "A general property for time aggregation," European Journal of Operational Research, Elsevier, vol. 291(2), pages 536-548.

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    More about this item

    Keywords

    Nonlinearity; energy market; time series analysis; crude oil prices;
    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
    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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