2014
DOI: 10.1007/s00712-014-0414-4
|View full text |Cite
|
Sign up to set email alerts
|

The stochastic Mitra–Wan forestry model: risk neutral and risk averse cases

Abstract: We extend the classic Mitra and Wan forestry model by assuming that prices follow a geometric Brownian motion. We move one step further in the model with stochastic prices and include risk aversion in the objective function. We prove that, as in the deterministic case, the optimal program is periodic both in the risk neutral and risk averse frameworks, when the benefit function is linear. We find the optimal rotation ages in both stochastic cases and show that they may differ significantly from the determinist… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2015
2015
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 9 publications
(2 citation statements)
references
References 46 publications
(43 reference statements)
0
2
0
Order By: Relevance
“…Finally we define the cut-off function ψ ∈ C ∞ ([0, S]; R + ) such that for fixed s, s 1 , s 2 , with 0 <s < s 1 < s 2 < S, ψ ≡ 1 on [0, s 1 ], ψ ≡ 0 on [s 2 , S], ψ decreasing on [s 1 , s 2 ]. 3 As pointed out to us by a referee, a monotonicy results for the Faustmann cutting age in discrete time is reported in a forthcoming paper (see Piazza and Pagnoncelli [38]). …”
Section: Notationmentioning
confidence: 88%
See 1 more Smart Citation
“…Finally we define the cut-off function ψ ∈ C ∞ ([0, S]; R + ) such that for fixed s, s 1 , s 2 , with 0 <s < s 1 < s 2 < S, ψ ≡ 1 on [0, s 1 ], ψ ≡ 0 on [s 2 , S], ψ decreasing on [s 1 , s 2 ]. 3 As pointed out to us by a referee, a monotonicy results for the Faustmann cutting age in discrete time is reported in a forthcoming paper (see Piazza and Pagnoncelli [38]). …”
Section: Notationmentioning
confidence: 88%
“…The proof follows from Lemma A.6 using density of step-functions approximating g and satisfying (38). 2…”
Section: From M ρ a ≤ M ρ B And The Convexity Of H ρ B (S) It Followsmentioning
confidence: 99%