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Exploring the usefulness of a simple linear regression model for understanding price movements of selected recycled materials in the UK

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  • Angus, A.
  • Casado, M. Rivas
  • Fitzsimons, D.

Abstract

The price volatility of recycled materials exposes many different organisations to financial and regulatory risk. These risks can be partially mitigated by improved understanding of price volatility using econometric models, although these have tended to be sophisticated autoregressive models, beyond the analytical capability or cost structure of the average market participant. In this context, this study explores the use of a simple linear regression model to understand the behaviour of prices for recycled plastic, recovered paper and glass, based on the price of their primary inputs, with a specific focus on the UK market. The results of the simple regression model are compared with a wavelet analysis to determine what information is lost in the trade off with simplicity. Both models found significant relationships between the price of crude oil/ethylene/naphtha and recycled plastics and it appears that there is no loss in model performance by using oil as the explanatory variable, rather than direct inputs (ethylene/naphtha). However, few correlations were found for recovered paper and glass. Initial findings from the wavelet analysis suggest that since 2004 the oil price has become more closely linked to the price of recycled plastics. It must be noted that this study is exploratory and particular dynamics of UK markets for recycled materials may affect price development in a way that would not be repeated on international markets.

Suggested Citation

  • Angus, A. & Casado, M. Rivas & Fitzsimons, D., 2012. "Exploring the usefulness of a simple linear regression model for understanding price movements of selected recycled materials in the UK," Resources, Conservation & Recycling, Elsevier, vol. 60(C), pages 10-19.
    • Handle: RePEc:eee:recore:v:60:y:2012:i:c:p:10-19
    DOI: 10.1016/j.resconrec.2011.10.011
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    References listed on IDEAS

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    1. Rua, António, 2010. "Measuring comovement in the time-frequency space," Journal of Macroeconomics, Elsevier, vol. 32(2), pages 685-691, June.
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    Cited by:

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    2. Selmi, Refk & Hammoudeh, Shawkat & Kasmaoui, Kamal & Sousa, Ricardo M. & Errami, Youssef, 2022. "The dual shocks of the COVID-19 and the oil price collapse: A spark or a setback for the circular economy?," Energy Economics, Elsevier, vol. 109(C).
    3. Zhao, Jue & Hosseini, Shahab & Chen, Qinyang & Jahed Armaghani, Danial, 2023. "Super learner ensemble model: A novel approach for predicting monthly copper price in future," Resources Policy, Elsevier, vol. 85(PB).
    4. Fu, Xinkai & Ueland, Stian M. & Olivetti, Elsa, 2017. "Econometric modeling of recycled copper supply," Resources, Conservation & Recycling, Elsevier, vol. 122(C), pages 219-226.
    5. John Ryter & Xinkai Fu & Karan Bhuwalka & Richard Roth & Elsa Olivetti, 2022. "Assessing recycling, displacement, and environmental impacts using an economics‐informed material system model," Journal of Industrial Ecology, Yale University, vol. 26(3), pages 1010-1024, June.

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