THE THEORY OF REAL OPTIONS IN INVESTMENT ANALYSIS OF AGROFORESTRY SYSTEMS

Detalhes bibliográficos
Autor(a) principal: Joaquim, Maísa Santos
Data de Publicação: 2016
Outros Autores: Souza, Álvaro Nogueira de, Souza, Sandro Nogueira de, Pereira, Reginaldo Sérgio, Angelo, Humberto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cerne (Online)
Texto Completo: https://cerne.ufla.br/site/index.php/CERNE/article/view/1090
Resumo: In this study we compared the values generated by traditional economic analysis (Net Present Value - NPV) with Real Options Method. The objective was to apply the method proposed by Copeland & Antikarov for rainbow options, due to three stochastic variables selected with decision of abandonment if the project value with flexibility was less than the value of the underlying stock. It enabled the flexibility value generation in order to entrepreneurs to have more confidence in their decision when they are investing in a project with Agroforestry System, with different scenarios visualization in a single analysis. The results evidenced that the economic viability analysis, using Real Options, provided the best view of the possible scenarios, within a range generated by the prices volatility. The Net Present Value adopted as the underlying stock value was R$ 5,684.32, using the discount rate (WACC) of 9.95% and risk-free interest rate of 7.5%. To determine the volatility were calculated: the logarithmic return standard deviation (27.06), the average (0.0883), upward movements values (u) (1.3107) with 61.34% of probability and downward movements values (d)(0.7628) with 38.66% of probability. The option value in case of abandonment was R$ 2,059.01/ha positive. The results showed that the NPV overestimated the project return and that it would be viable to abandon it.
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spelling THE THEORY OF REAL OPTIONS IN INVESTMENT ANALYSIS OF AGROFORESTRY SYSTEMSRisk AnalysisEconomic AnalysisForest Economy.In this study we compared the values generated by traditional economic analysis (Net Present Value - NPV) with Real Options Method. The objective was to apply the method proposed by Copeland & Antikarov for rainbow options, due to three stochastic variables selected with decision of abandonment if the project value with flexibility was less than the value of the underlying stock. It enabled the flexibility value generation in order to entrepreneurs to have more confidence in their decision when they are investing in a project with Agroforestry System, with different scenarios visualization in a single analysis. The results evidenced that the economic viability analysis, using Real Options, provided the best view of the possible scenarios, within a range generated by the prices volatility. The Net Present Value adopted as the underlying stock value was R$ 5,684.32, using the discount rate (WACC) of 9.95% and risk-free interest rate of 7.5%. To determine the volatility were calculated: the logarithmic return standard deviation (27.06), the average (0.0883), upward movements values (u) (1.3107) with 61.34% of probability and downward movements values (d)(0.7628) with 38.66% of probability. The option value in case of abandonment was R$ 2,059.01/ha positive. The results showed that the NPV overestimated the project return and that it would be viable to abandon it.CERNECERNE2016-04-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/1090CERNE; Vol. 21 No. 3 (2015); 439-447CERNE; v. 21 n. 3 (2015); 439-4472317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/1090/852Copyright (c) 2016 CERNEinfo:eu-repo/semantics/openAccessJoaquim, Maísa SantosSouza, Álvaro Nogueira deSouza, Sandro Nogueira dePereira, Reginaldo SérgioAngelo, Humberto2016-04-19T11:33:20Zoai:cerne.ufla.br:article/1090Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:23.547026Cerne (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv THE THEORY OF REAL OPTIONS IN INVESTMENT ANALYSIS OF AGROFORESTRY SYSTEMS
title THE THEORY OF REAL OPTIONS IN INVESTMENT ANALYSIS OF AGROFORESTRY SYSTEMS
spellingShingle THE THEORY OF REAL OPTIONS IN INVESTMENT ANALYSIS OF AGROFORESTRY SYSTEMS
Joaquim, Maísa Santos
Risk Analysis
Economic Analysis
Forest Economy.
title_short THE THEORY OF REAL OPTIONS IN INVESTMENT ANALYSIS OF AGROFORESTRY SYSTEMS
title_full THE THEORY OF REAL OPTIONS IN INVESTMENT ANALYSIS OF AGROFORESTRY SYSTEMS
title_fullStr THE THEORY OF REAL OPTIONS IN INVESTMENT ANALYSIS OF AGROFORESTRY SYSTEMS
title_full_unstemmed THE THEORY OF REAL OPTIONS IN INVESTMENT ANALYSIS OF AGROFORESTRY SYSTEMS
title_sort THE THEORY OF REAL OPTIONS IN INVESTMENT ANALYSIS OF AGROFORESTRY SYSTEMS
author Joaquim, Maísa Santos
author_facet Joaquim, Maísa Santos
Souza, Álvaro Nogueira de
Souza, Sandro Nogueira de
Pereira, Reginaldo Sérgio
Angelo, Humberto
author_role author
author2 Souza, Álvaro Nogueira de
Souza, Sandro Nogueira de
Pereira, Reginaldo Sérgio
Angelo, Humberto
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Joaquim, Maísa Santos
Souza, Álvaro Nogueira de
Souza, Sandro Nogueira de
Pereira, Reginaldo Sérgio
Angelo, Humberto
dc.subject.por.fl_str_mv Risk Analysis
Economic Analysis
Forest Economy.
topic Risk Analysis
Economic Analysis
Forest Economy.
description In this study we compared the values generated by traditional economic analysis (Net Present Value - NPV) with Real Options Method. The objective was to apply the method proposed by Copeland & Antikarov for rainbow options, due to three stochastic variables selected with decision of abandonment if the project value with flexibility was less than the value of the underlying stock. It enabled the flexibility value generation in order to entrepreneurs to have more confidence in their decision when they are investing in a project with Agroforestry System, with different scenarios visualization in a single analysis. The results evidenced that the economic viability analysis, using Real Options, provided the best view of the possible scenarios, within a range generated by the prices volatility. The Net Present Value adopted as the underlying stock value was R$ 5,684.32, using the discount rate (WACC) of 9.95% and risk-free interest rate of 7.5%. To determine the volatility were calculated: the logarithmic return standard deviation (27.06), the average (0.0883), upward movements values (u) (1.3107) with 61.34% of probability and downward movements values (d)(0.7628) with 38.66% of probability. The option value in case of abandonment was R$ 2,059.01/ha positive. The results showed that the NPV overestimated the project return and that it would be viable to abandon it.
publishDate 2016
dc.date.none.fl_str_mv 2016-04-19
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/1090
url https://cerne.ufla.br/site/index.php/CERNE/article/view/1090
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/1090/852
dc.rights.driver.fl_str_mv Copyright (c) 2016 CERNE
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 CERNE
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv CERNE
CERNE
publisher.none.fl_str_mv CERNE
CERNE
dc.source.none.fl_str_mv CERNE; Vol. 21 No. 3 (2015); 439-447
CERNE; v. 21 n. 3 (2015); 439-447
2317-6342
0104-7760
reponame:Cerne (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Cerne (Online)
collection Cerne (Online)
repository.name.fl_str_mv Cerne (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv cerne@dcf.ufla.br||cerne@dcf.ufla.br
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