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A stochastic dynamic programming model for valuing a eucalyptus investment

2009Book part Restricted access
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dc.contributor.authorCunha, Ricardo
dc.contributor.authorFontes, Dalila B. M. M.
dc.date.accessioned2011-09-08T13:55:38Z
dc.date.available2011-09-08T13:55:38Z
dc.date.issued2009
dc.descriptionThis work proposes an exercise-dependent real options model for the valuation and optimal harvest timing of a forestry investment in eucalyptus. Investment in eucalyptus is complex, as trees allow for two cuts without replantation and have a specific time and growth window in which they are suitable for industrial processing into paper pulp. Thus, path dependency in the cutting options is observed, as the moment of exercise of the first option determines the time interval inwhich the second option may be exercised. Therefore, the value of the second option depends on the history of the state variables rather than on its final value. In addition, the options to abandon the project or convert land to another use, are also considered. The option value is estimated by solving a stochastic dynamic programming model. Results are reported for a case study in the Portuguese eucalyptus forest, which show that price uncertainty postpones the optimal cutting decisions.Moreover, optimal harvesting policies deviate from current practice of forest managers and allow for considerable gains.en
dc.identifier.citationCUNHA, Ricardo ; FONTES, Dalila B.M.M. - A stochastic dynamic programming model for valuing a eucalyptus investment. in: Advances in modeling agricultural systems. [S.l.] : Springer, 2009. ISBN 978-0-387-75180-1. vol. 25. p. 339-359por
dc.identifier.doi10.1007/978-0-387-75181-8_16
dc.identifier.urihttp://hdl.handle.net/10400.14/5308
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSpringerpor
dc.titleA stochastic dynamic programming model for valuing a eucalyptus investmentpor
dc.typebook part
dspace.entity.typePublication
oaire.citation.titleSpringer optimization and Its applications
rcaap.rightsrestrictedAccesspor
rcaap.typebookPartpor

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