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Estimating The Value Of Delivery Options In Futures Contracts

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  • Jana Hranaiova
  • Robert A. Jarrow
  • William G. Tomek

Abstract

We analyze the effect various delivery options embedded in commodity futures contracts have on the futures price. The two embedded options considered are the timing and location options. We show that early delivery is always optimal when only a timing option is present, but not so when joint options are present. The estimates of the combined options are much smaller than the comparable estimates for the timing option alone. The average value of the joint option is about 5% of the average basis on the first day of the maturity month. This suggests that joint options can increase deliverable supplies while potentially having only a small effect on basis behavior.

Suggested Citation

  • Jana Hranaiova & Robert A. Jarrow & William G. Tomek, 2005. "Estimating The Value Of Delivery Options In Futures Contracts," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 28(3), pages 363-383, September.
    • Handle: RePEc:bla:jfnres:v:28:y:2005:i:3:p:363-383
    DOI: 10.1111/j.1475-6803.2005.00129.x
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    Cited by:

    1. Sanjay Mansabdar & Hussain C. Yaganti, 2023. "Optimizing Hedging Effectiveness of Indian Agricultural Commodity Futures: A Simulation Approach," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(1), pages 13-36, March.
    2. Guo, Kevin & Leung, Tim, 2017. "Understanding the non-convergence of agricultural futures via stochastic storage costs and timing options," Journal of Commodity Markets, Elsevier, vol. 6(C), pages 32-49.
    3. Fernandes, Vitor M. & Kunda, Eugene L. & Robe, Michel A., 2022. "Corn Futures Deliveries: Why? When? So What?," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322061, Agricultural and Applied Economics Association.
    4. Sanjay Mansabdar & Hussain C Yaganti, 2020. "Valuing the quality option in agricultural commodity futures: a Monte Carlo simulation based approach," Papers 2006.11222, arXiv.org.
    5. Irwin, Scott H., 2020. "Trilogy for troubleshooting convergence: Manipulation, structural imbalance, and storage rates," Journal of Commodity Markets, Elsevier, vol. 17(C).

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