Forest management decision making based on a real options approach: An application to a case in northeastern Argentina

The Net Present Value (NPV) approach is widely applied to assess forest investments, but this method has serious shortcomings, which we propose to overcome by switching to the assessment through the Real Options Approach (ROA). The model in this paper starts with the simulation of the forest’s growt...

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Main Authors: Broz Diego, Milanesi Gastón, Rossit Daniel Alejandro, Rossit Diego Gabriel, Tohmé Fernando
Format: Article
Language:English
Published: Sciendo 2017-12-01
Series:Metsanduslikud Uurimused
Subjects:
Online Access:https://doi.org/10.1515/fsmu-2017-0015
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author Broz Diego
Milanesi Gastón
Rossit Daniel Alejandro
Rossit Diego Gabriel
Tohmé Fernando
author_facet Broz Diego
Milanesi Gastón
Rossit Daniel Alejandro
Rossit Diego Gabriel
Tohmé Fernando
author_sort Broz Diego
collection DOAJ
description The Net Present Value (NPV) approach is widely applied to assess forest investments, but this method has serious shortcomings, which we propose to overcome by switching to the assessment through the Real Options Approach (ROA). The model in this paper starts with the simulation of the forest’s growth, combined with the projection of the products’ prices and valuing the assets using a binomial model. We include an option of postponement, determining the optimal period of felling. We find that ROA is more robust than the NPV approach because it relaxes the assumption of constancy of both the prices and the discount rate, allowing the determination of the optimal time of felling based on the growth rate of either the forest or the prices of its products. Contrary to the traditional NPV approach, the results obtained with ROA exhibit longer harvest turns and consequently higher profits. The key variable in the ROA, the Real Option Value (ROV) can be shown to be less (albeit moderately) sensitive to decreases of the discount rate than NPV. Moreover, ROV is moderately sensitive to decreases in the price of logs and is negligibly affected by rises in the costs of harvesting, loading and transporting rolls.
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spelling doaj.art-4986711d48e34dc9a7d4a4c67af19a062022-12-21T23:14:59ZengSciendoMetsanduslikud Uurimused1736-87232017-12-016719710810.1515/fsmu-2017-0015Forest management decision making based on a real options approach: An application to a case in northeastern ArgentinaBroz Diego0Milanesi Gastón1Rossit Daniel Alejandro2Rossit Diego Gabriel3Tohmé Fernando4Universidad Nacional del Misiones, Faculta de Ciencias Forestales (CONICET), Bertoni 124, Eldorado, Misiones, ArgentinaUniversidad Nacional del Sur, Departamento de Ciencias de la Administración, San Andrés 800, Altos de Palihue, Bahía Blanca, ArgentinaINMABB, Departamento de Ingeniería, Universidad Nacional del Sur (UNS)-CONICET, Avenida Alem 1253, Bahía Blanca, ArgentinaIIESS, Departamento de Ingeniería, Universidad Nacional del Sur (UNS)-CONICET, Avenida Alem 1253, Bahía Blanca, ArgentinaINMABB, Departamento de Economía, Universidad Nacional del Sur (UNS)-CONICET, Avenida Alem 1253, Bahía Blanca, ArgentinaThe Net Present Value (NPV) approach is widely applied to assess forest investments, but this method has serious shortcomings, which we propose to overcome by switching to the assessment through the Real Options Approach (ROA). The model in this paper starts with the simulation of the forest’s growth, combined with the projection of the products’ prices and valuing the assets using a binomial model. We include an option of postponement, determining the optimal period of felling. We find that ROA is more robust than the NPV approach because it relaxes the assumption of constancy of both the prices and the discount rate, allowing the determination of the optimal time of felling based on the growth rate of either the forest or the prices of its products. Contrary to the traditional NPV approach, the results obtained with ROA exhibit longer harvest turns and consequently higher profits. The key variable in the ROA, the Real Option Value (ROV) can be shown to be less (albeit moderately) sensitive to decreases of the discount rate than NPV. Moreover, ROV is moderately sensitive to decreases in the price of logs and is negligibly affected by rises in the costs of harvesting, loading and transporting rolls.https://doi.org/10.1515/fsmu-2017-0015real optionsbinomial modelbinomial tree
spellingShingle Broz Diego
Milanesi Gastón
Rossit Daniel Alejandro
Rossit Diego Gabriel
Tohmé Fernando
Forest management decision making based on a real options approach: An application to a case in northeastern Argentina
Metsanduslikud Uurimused
real options
binomial model
binomial tree
title Forest management decision making based on a real options approach: An application to a case in northeastern Argentina
title_full Forest management decision making based on a real options approach: An application to a case in northeastern Argentina
title_fullStr Forest management decision making based on a real options approach: An application to a case in northeastern Argentina
title_full_unstemmed Forest management decision making based on a real options approach: An application to a case in northeastern Argentina
title_short Forest management decision making based on a real options approach: An application to a case in northeastern Argentina
title_sort forest management decision making based on a real options approach an application to a case in northeastern argentina
topic real options
binomial model
binomial tree
url https://doi.org/10.1515/fsmu-2017-0015
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