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Valuing flexibility: an impulse control framework.

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Title: Valuing flexibility: an impulse control framework.
Authors: Hodder, James E.1, Triantis, Alexander J.1
Source: Annals of Operations Research. 1993, Vol. 45 Issue 1-4, p109-130. 22p.
Subjects: Investments, Operations research, Pricing, Valuation, Cost
Abstract: This paper presents a general framework for modeling and evaluating investments which involve flexibility to switch between alternative states of operation (for example, different sets of production inputs and outputs). The model employs a contingent claims pricing approach and encompasses previous real option models as special cases. We discuss practical solution techniques for the valuation problem under different assumptions regarding the cost and frequency of switching. [ABSTRACT FROM AUTHOR]
Copyright of Annals of Operations Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: This paper presents a general framework for modeling and evaluating investments which involve flexibility to switch between alternative states of operation (for example, different sets of production inputs and outputs). The model employs a contingent claims pricing approach and encompasses previous real option models as special cases. We discuss practical solution techniques for the valuation problem under different assumptions regarding the cost and frequency of switching. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Annals of Operations Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/BF02282044
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      – SubjectFull: Pricing
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              Text: 1993
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