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Biblioteca A Binomial Tree Approach to Valuing Fixed Rotation Forests and Flexible Rotation Forests Under a Mean Reverting Timber Price Process

A Binomial Tree Approach to Valuing Fixed Rotation Forests and Flexible Rotation Forests Under a Mean Reverting Timber Price Process

A Binomial Tree Approach to Valuing Fixed Rotation Forests and Flexible Rotation Forests Under a Mean Reverting Timber Price Process

Resource information

Date of publication
Agosto 2010
Resource Language
ISBN / Resource ID
AGRIS:US2016210674

NPV and LEV are established and common approaches to valuing single rotation and infinite rotation forests respectively, when the rotation age is fixed in advanced. More recently, Real Options approaches have been employed to value single and infinite rotation forests with a flexible harvest age. Under a stochastic timber price process, it has been shown that the valuation of a flexible rotation forest is equal or higher than that of a fixed rotation forest, because a flexible harvest regime delays the harvest if the timber price is not favourable, whereas a fixed harvest regime would proceed to harvest regardless of the price. Often, valuation of fixed and flexible rotation ages are compared using 2 different methods – NPV (or LEV) and Real Options. The latter tends to have higher data requirements, employ different assumptions and is much more complex to estimate. Because of these differences, it may be difficult to isolate the cause of the increased valuation. In this work, we apply a relatively simple Binomial Tree method from Guthrie (2009) to value both fixed rotation and flexible rotation forests. This method uses the same data, with the same assumptions for both valuations. By holding everything equal, the difference in valuation is solely attributable to the fixed versus flexible harvesting decisions. Original results for both single and infinite rotations are presented using New Zealand Radiata Pine data. Under a mean reverting timber price process, the Binomial Tree approach offers useful insights on the increased valuation due to flexible harvest decisions.

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Authors and Publishers

Author(s), editor(s), contributor(s)

Tee, James
Scarpa, Riccardo
Marsh, Dan
Guthrie, Graeme

Data Provider
Geographical focus