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Optimal hedging strategies for salmon producers

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  • Schütz, Peter
  • Westgaard, Sjur

Abstract

We study the optimal hedging decisions for a risk-averse salmon producer. The hedging decisions are determined using a multistage stochastic programming model. The objective is to maximize the weighted sum of expected revenues from selling salmon either in the spot market or in futures contracts and Conditional Value-at-Risk (CVaR) of the revenues over the planning horizon. The scenario tree for the multistage stochastic programming model is generated based on a procedure that combines Principal Component Analysis and state space modelling. We present results for 3 different CVaR percentiles and different degrees of risk-aversion. The results indicate that salmon producers should use futures contracts to hedge price risk already at fairly low degrees of risk-aversion. The methods described in this paper will be useful as a decision support tool for determining fish companies' risk management and hedging strategies.

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  • Schütz, Peter & Westgaard, Sjur, 2018. "Optimal hedging strategies for salmon producers," Journal of Commodity Markets, Elsevier, vol. 12(C), pages 60-70.
    • Handle: RePEc:eee:jocoma:v:12:y:2018:i:c:p:60-70
    DOI: 10.1016/j.jcomm.2017.12.009
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    1. Haarstad, Aleksander H. & Lavrutich, Maria & Strypet, Kristian & Strøm, Eivind, 2022. "Multi-commodity price risk hedging in the Atlantic salmon farming industry," Journal of Commodity Markets, Elsevier, vol. 25(C).

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