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On Optimal Asset Abandonment and Replacement

Author

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  • Howe, Keith M.
  • McCabe, George M.

Abstract

Numerous studies in recent years have emphasized the importance of accounting properly for abandoment value in capital budgeting (see [1], [4], [7], [10], and [11]). For a variety of reasons, a project need be neither physically exhausted nor have negative cash flows to be abandoned. Robichek and Van Home [10] suggested that a project should be abandoned in any period in which the present value of future cash flows does not exceed its abandonment value. In a modification of this rule, Dyl and Long [4] proposed that the firm give consideration to all possible future abandonment opportunities. They argued that abandonment need not occur at the earliest possible date that the abandonment condition is satisfied, but rather at the date that yields the highest NPV over all future abandonment possibilities. A generalization of these models was offered by Bonini [1], who developed a dynamic programming model to analyze investment projects with abandonment possibilities and uncertain cash flows. More recently, Gaumnitz and Emery [7] compared the abandonment decision to the like-for-like replacement decision and noted that the correct model for a particular case depends on the suitability of the assumptions.

Suggested Citation

  • Howe, Keith M. & McCabe, George M., 1983. "On Optimal Asset Abandonment and Replacement," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 18(3), pages 295-305, September.
  • Handle: RePEc:cup:jfinqa:v:18:y:1983:i:03:p:295-305_01
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    Cited by:

    1. George Bitros & Elias Flytzanis, 2004. "Utilization and Maintenance in a Model with Terminal Scrapping," Macroeconomics 0411016, University Library of Munich, Germany.
    2. Adkins, Roger & Paxson, Dean, 2017. "Replacement decisions with multiple stochastic values and depreciation," European Journal of Operational Research, Elsevier, vol. 257(1), pages 174-184.
    3. Alp, Osman & Tan, Tarkan & Udenio, Maximiliano, 2022. "Transitioning to sustainable freight transportation by integrating fleet replacement and charging infrastructure decisions," Omega, Elsevier, vol. 109(C).
    4. Zhang, G. Peter & Keil, Mark & Rai, Arun & Mann, Joan, 2003. "Predicting information technology project escalation: A neural network approach," European Journal of Operational Research, Elsevier, vol. 146(1), pages 115-129, April.
    5. Jackson, Scott B. & Rodgers, Theodore C. & Tuttle, Brad, 2010. "The effect of depreciation method choice on asset selling prices," Accounting, Organizations and Society, Elsevier, vol. 35(8), pages 757-774, November.
    6. Chen, Andrew H. & Kensinger, John W. & Conover, James A., 1998. "Valuing Flexible Manufacturing Facilities as Options," The Quarterly Review of Economics and Finance, Elsevier, vol. 38(3, Part 2), pages 651-674.
    7. Bitros, George C. & Flytzanis, Elias, 2016. "On the Optimal Lifetime of Real Assets," MPRA Paper 70818, University Library of Munich, Germany.

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