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Estimation of Canadian commodity market risk premiums under price limits: Two-phase fuzzy approach

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  • Smimou, Kamal

Abstract

This paper is written with two complementary purposes in mind. The first is to provide estimates of systematic risk for Canadian commodities futures (western barley, canola, flaxseed, feed wheat) using a market portfolio based on a similar weighting scheme suggested by Marcus. The second is to estimate systematic risk with the induction of price limits in the capital asset pricing model (CAPM) and the deployment of fuzzy regression method. A comparative investigation has been provided to show the importance of the fuzzy regression to estimate the existing risk premiums in the commodity futures.

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  • Smimou, Kamal, 2006. "Estimation of Canadian commodity market risk premiums under price limits: Two-phase fuzzy approach," Omega, Elsevier, vol. 34(5), pages 477-491, October.
    • Handle: RePEc:eee:jomega:v:34:y:2006:i:5:p:477-491
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    1. K. Smimou, 2013. "On the significance testing of fuzzy regression applied to the CAPM: Canadian commodity futures evidence," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 5(2), pages 144-171.
    2. Brychykova, A., 2019. "Capital Asset Pricing Model Using Fuzzy Data and Application for the Russian Stock Market," Journal of the New Economic Association, New Economic Association, vol. 43(3), pages 58-77.

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