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Forecasting fuel prices with the Chilean exchange rate: Going beyond the commodity currency hypothesis

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  • Pincheira-Brown, Pablo
  • Bentancor, Andrea
  • Hardy, Nicolás
  • Jarsun, Nabil

Abstract

In this paper we show that the Chilean exchange rate has the ability to predict the returns of oil and of three additional oil-related products: gasoline, propane and heating oil. We show this using both in- and out-of sample exercises at multiple horizons. Natural explanations for our findings rely on the well know “dollar effect” and on the present-value theory for exchange rate determination in combination with the strong co-movement displayed by fuel and metal prices. Given that the Chilean economy is heavily influenced by copper, which represents nearly 50% of total national exports, the floating Chilean Peso is importantly affected by price fluctuations in this metal. As oil-related products display an important co-movement with base metal prices, it is reasonable to expect evidence of Granger causality from the Chilean peso to these oil-related products. Interestingly, we provide sound evidence indicating that the predictive ability of the Chilean Peso goes beyond these natural explanations. In particular, we show another plausible predictive channel: volatility in combination with a negative contemporaneous leverage effect in fuel returns. Finally, we compare the Chilean peso with other commodity-currencies in their ability to predict fuel returns. The Chilean peso fares extremely well in this competition, especially at short horizons of one, three and six months.

Suggested Citation

  • Pincheira-Brown, Pablo & Bentancor, Andrea & Hardy, Nicolás & Jarsun, Nabil, 2022. "Forecasting fuel prices with the Chilean exchange rate: Going beyond the commodity currency hypothesis," Energy Economics, Elsevier, vol. 106(C).
  • Handle: RePEc:eee:eneeco:v:106:y:2022:i:c:s014098832100637x
    DOI: 10.1016/j.eneco.2021.105802
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    More about this item

    Keywords

    Exchange rates; Energy; Oil; Gasoline; Commodity prices; Predictability; Time-series;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • 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
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • Q30 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - General
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting

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