Project options valuation with net present value and decision tree analysis

Real options analysis (ROA) has been developed to correctly value projects with inherent flexibility, including the possibility to abandon, defer, expand, contract or switch to a different project. ROA allows computing the correct discount rate using the replicating portfolio technique or risk-neutr...

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Main Authors: DE REYCK, Bert, DEGRAEVE, Zeger, VANDENBORRE, Roger
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Language:English
Published: Institutional Knowledge at Singapore Management University 2008
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/6752
https://ink.library.smu.edu.sg/context/lkcsb_research/article/7753/viewcontent/1_s2.0_S037722170601099X_main.pdf
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spelling sg-smu-ink.lkcsb_research-77532021-08-30T06:09:16Z Project options valuation with net present value and decision tree analysis DE REYCK, Bert DEGRAEVE, Zeger VANDENBORRE, Roger Real options analysis (ROA) has been developed to correctly value projects with inherent flexibility, including the possibility to abandon, defer, expand, contract or switch to a different project. ROA allows computing the correct discount rate using the replicating portfolio technique or risk-neutral probability method. We propose an alternative approach for valuing Real Options based on the certainty-equivalent version of the net present value formula, which eliminates the need to identify market-priced twin securities. In addition, our approach can be extended to the case of multinomial trees, a useful tool for modeling uncertainty in projects. We introduce within decision tree analysis (DTA) a method to derive the different discount rates that prevail at different chance nodes. We illustrate the valuation method with an application presented in “A Scenario Approach to Capacity Planning” [Eppen, G.D., Martin, R.K., Schrage, L.E., 1989. A scenario approach to capacity planning. Operations Research, 37 (4)], in which the authors state that for the capacity configuration investment decision studied at General Motors, “… there is no scientific way to determine the appropriate discount rate based on estimated demand.” Our method allows deriving the scientifically correct discount rates. A major result of the analysis is that the discount rates are endogenously derived from the project structure and its behavior in light of prevailing market conditions, instead of being exogenously imposed. 2008-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/6752 info:doi/10.1016/j.ejor.2006.07.047 https://ink.library.smu.edu.sg/context/lkcsb_research/article/7753/viewcontent/1_s2.0_S037722170601099X_main.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Decision analysis Finance Investment analysis Real options analysis Scenarios Business Administration, Management, and Operations Finance and Financial Management
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Decision analysis
Finance
Investment analysis
Real options analysis
Scenarios
Business Administration, Management, and Operations
Finance and Financial Management
spellingShingle Decision analysis
Finance
Investment analysis
Real options analysis
Scenarios
Business Administration, Management, and Operations
Finance and Financial Management
DE REYCK, Bert
DEGRAEVE, Zeger
VANDENBORRE, Roger
Project options valuation with net present value and decision tree analysis
description Real options analysis (ROA) has been developed to correctly value projects with inherent flexibility, including the possibility to abandon, defer, expand, contract or switch to a different project. ROA allows computing the correct discount rate using the replicating portfolio technique or risk-neutral probability method. We propose an alternative approach for valuing Real Options based on the certainty-equivalent version of the net present value formula, which eliminates the need to identify market-priced twin securities. In addition, our approach can be extended to the case of multinomial trees, a useful tool for modeling uncertainty in projects. We introduce within decision tree analysis (DTA) a method to derive the different discount rates that prevail at different chance nodes. We illustrate the valuation method with an application presented in “A Scenario Approach to Capacity Planning” [Eppen, G.D., Martin, R.K., Schrage, L.E., 1989. A scenario approach to capacity planning. Operations Research, 37 (4)], in which the authors state that for the capacity configuration investment decision studied at General Motors, “… there is no scientific way to determine the appropriate discount rate based on estimated demand.” Our method allows deriving the scientifically correct discount rates. A major result of the analysis is that the discount rates are endogenously derived from the project structure and its behavior in light of prevailing market conditions, instead of being exogenously imposed.
format text
author DE REYCK, Bert
DEGRAEVE, Zeger
VANDENBORRE, Roger
author_facet DE REYCK, Bert
DEGRAEVE, Zeger
VANDENBORRE, Roger
author_sort DE REYCK, Bert
title Project options valuation with net present value and decision tree analysis
title_short Project options valuation with net present value and decision tree analysis
title_full Project options valuation with net present value and decision tree analysis
title_fullStr Project options valuation with net present value and decision tree analysis
title_full_unstemmed Project options valuation with net present value and decision tree analysis
title_sort project options valuation with net present value and decision tree analysis
publisher Institutional Knowledge at Singapore Management University
publishDate 2008
url https://ink.library.smu.edu.sg/lkcsb_research/6752
https://ink.library.smu.edu.sg/context/lkcsb_research/article/7753/viewcontent/1_s2.0_S037722170601099X_main.pdf
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