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Real Options in Leasing: The Effect of Idle Time

Author

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  • Chris Kenyon

    (IBM Research, Zurich Research Laboratory, Säumerstrasse 4, CH8803 Rüschlikon, Switzerland)

  • Stathis Tompaidis

    (MSIS Department and Center for Computational Finance, University of Texas at Austin, Austin, Texas 78712-1175)

Abstract

We study options on short-term leases for capital-intensive equipment performing specific functions and services, such as leases for semi-submersible drilling rigs, marine seismic services, corporate real estate leasing, retail space leasing, and apartment leasing. We quantify the effect of an important factor in pricing options on these services: idle time between consecutive lease contracts. We show that while the expected, discounted value for a contract with options is unique, option prices and option exercise prices must be given with respect to a payment structure for the whole contract. We prove that there exist payment schemes in which prices do not depend on exercise probabilities. We use a simple analytic model to derive closed-form solutions for option prices and illustrate our methodology by pricing options for leasing oil-drilling services in the North Sea.

Suggested Citation

  • Chris Kenyon & Stathis Tompaidis, 2001. "Real Options in Leasing: The Effect of Idle Time," Operations Research, INFORMS, vol. 49(5), pages 675-689, October.
    • Handle: RePEc:inm:oropre:v:49:y:2001:i:5:p:675-689
    DOI: 10.1287/opre.49.5.675.10604
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    References listed on IDEAS

    as
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    Citations

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    Cited by:

    1. Guedes, José & Santos, Pedro, 2016. "Valuing an offshore oil exploration and production project through real options analysis," Energy Economics, Elsevier, vol. 60(C), pages 377-386.
    2. N. Nesterova I. & Н. Нестерова И., 2015. "Применение Реальных Опционов В Лизинговых Проектах // Using Of Real Options In Project Financing With Leased Assets," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, issue 6, pages 179-184.
    3. Miller, Luke T., 2010. "PMA license valuation: A Bayesian learning real options approach," Review of Financial Economics, Elsevier, vol. 19(1), pages 28-37, January.
    4. S H Martzoukos, 2009. "Real R&D options and optimal activation of two-dimensional random controls," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(6), pages 843-858, June.
    5. Fernando Oliveira, 2010. "Bottom-up design of strategic options as finite automata," Computational Management Science, Springer, vol. 7(4), pages 355-375, October.
    6. Jenny Jing Wang & Jianfu Shen & Frederik Pretorius, 2023. "Valuing options to renew at future market value: the case of commercial property leases," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-35, December.
    7. Ahmed Al sharif & Ruwen Qin, 2015. "Double-sided price adjustment flexibility with a preemptive right to exercise," Annals of Operations Research, Springer, vol. 226(1), pages 29-50, March.
    8. Golbeck, Steven & Linetsky, Vadim, 2013. "Asset financing with credit risk," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 43-59.
    9. Luke T. Miller, 2010. "PMA license valuation: A Bayesian learning real options approach," Review of Financial Economics, John Wiley & Sons, vol. 19(1), pages 28-37, January.
    10. Chuang-Chang Chang & Hsiao-Wei Ho & Henry Hongren Huang & Yildiray Yildirim, 2024. "A reduced-form model for lease contract valuation with embedded options," Review of Quantitative Finance and Accounting, Springer, vol. 62(2), pages 841-864, February.
    11. Kallio, Markku & Kuula, Markku & Oinonen, Sami, 2012. "Real options valuation of forest plantation investments in Brazil," European Journal of Operational Research, Elsevier, vol. 217(2), pages 428-438.

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