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Can commodity returns forecast Canadian sector stock returns?

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  • Jordan, Steven J.
  • Vivian, Andrew
  • Wohar, Mark E.

Abstract

Using a wide range of commodities, we provide some evidence that commodity returns can forecast eight Canadian sector equity returns out-of-sample. In particular, there is some evidence that the recently developed bagging method can improve forecast accuracy relative to the benchmark and performs well compared to forecast combinations. From an economic gains perspective, forecasting sector returns provides certainty equivalent gains in a sector rotation strategy. We also model the impact of transaction costs upon economic value and find that gains can be generated when transaction costs are low.

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  • Jordan, Steven J. & Vivian, Andrew & Wohar, Mark E., 2016. "Can commodity returns forecast Canadian sector stock returns?," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 172-188.
  • Handle: RePEc:eee:reveco:v:41:y:2016:i:c:p:172-188
    DOI: 10.1016/j.iref.2015.08.013
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    2. Gülin Vardar & Yener Coşkun & Tezer Yelkenci, 2018. "Shock transmission and volatility spillover in stock and commodity markets: evidence from advanced and emerging markets," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 8(2), pages 231-288, August.
    3. Ayedi Ahmed & Marjène Gana & Stéphane Goutte & Khaled Guesmi, 2023. "Managing Portfolio Risk During the BREXIT Crisis: A Cross-Quantilogram Analysis of Stock Markets and Commodities Across European Countries, the US, and BRICS," Working Papers halshs-04068651, HAL.
    4. Lin, Arthur J. & Chang, Hai Yen & Hsiao, Jung Lieh, 2019. "Does the Baltic Dry Index drive volatility spillovers in the commodities, currency, or stock markets?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 265-283.
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    7. Balcilar, Mehmet & Gupta, Rangan & Kim, Won Joong & Kyei, Clement, 2019. "The role of economic policy uncertainties in predicting stock returns and their volatility for Hong Kong, Malaysia and South Korea," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 150-163.
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    More about this item

    Keywords

    Return forecasting; Commodities; Transaction costs; Forecast combinations; Canada;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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