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Article
Optimum Short-Term Futures Hedge Using Stochastic Linear Programming
International Journal of Risk Assessment and Management
  • Samuel Frimpong, Missouri University of Science and Technology
  • Kwame Awuah-Offei, Missouri University of Science and Technology
  • George Dogbe
Abstract

Classical optimal hedge ratio concentrates on risk reduction and neglects strategic value maximisation. In this study, the authors use stochastic optimisation theories to formulate an optimal, short-term hedging scheme to mitigate risks while maximising portfolio value. Stochastic spot and futures price models are used to simulate prices. The periodic optimal hedge ratios are determined using the stochastic-optimisation algorithm. The algorithm is implemented in a Hedge-Position-Optimiser (HPO) which is verified and validated using crude oil and gold data. The results show that HPO adds value to projects by increasing portfolio value while reducing the associated risks.

Department(s)
Mining Engineering
Keywords and Phrases
  • Minerals Industry,
  • Optimal Hedge Ratio,
  • Simulation,
  • Stochastic Optimisation
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2007 Inderscience, All rights reserved.
Publication Date
1-1-2007
Publication Date
01 Jan 2007
Disciplines
Citation Information
Samuel Frimpong, Kwame Awuah-Offei and George Dogbe. "Optimum Short-Term Futures Hedge Using Stochastic Linear Programming" International Journal of Risk Assessment and Management (2007) ISSN: 1466-8297
Available at: http://works.bepress.com/samuel-frimpong/71/