17 research outputs found
Optimal entry to an irreversible investment plan with non convex costs
A problem of optimally purchasing electricity at a real-valued spot price (that is, allowing negative prices) has been recently addressed in De Angelis et al. (SIAM J Control Optim 53(3), 1199–1223, 2015). The problem can be considered one of irreversible investment with a cost function which is non convex with respect to the control variable. In this paper we study optimal entry into the investment plan. The optimal entry policy can have an irregular boundary, with a kinked shape
Harvesting Policies with Stepwise Effort and Logistic Growth in a Random Environment
Recently, we have developed optimal harvesting policies based on profit
optimization in random varying environments. Namely, we have considered a
logistic stochastic differential equation growth model, with the purpose of discussing
the use of variable versus constant effort harvesting policies in terms of
the expected accumulated discounted profit during a finite time interval. Using
realistic parameters, we have concluded that there is only a slight reduction in
profit when choosing the applicable constant effort policy instead of the variable
effort policy, which presents strong disadvantages. Here, we apply a logistic growth
model and a more general profit structure to present alternative policies based on
variable effort, named stepwise policies, where the harvesting effort is determined,
under the optimal variable effort policy, at the beginning of each year (or of each
biennium) but is kept constant during that year (biennium). Replacing the optimal
variable effort policy by these stepwise non-optimal policies has the advantage of
applicability but, at best, considerably reduces the already small profit advantage the
optimal variable effort policy has over the optimal constant effort sustainable policy
Assessing the timing of mining investment under tax policy uncertainty: the case of the Asia-Pacific region
Mining involves the discovery, extraction, and processing of non-renewable resources. The potential of mining revenues to contribute to national economic development is well known, but the allocation of mineral wealth and the concern of increasing resource scarcity have become issues of debate in the mining industry. The purpose of this study is to introduce the binomial decision tree analysis, which is a new approach to mining investment decisions. The examples used examine the impact by a policy change. Using three mining projects in the Asia-Pacific, in Australia, Indonesia and Papua New Guinea, findings about options for the investor suggest it is sometimes better to wait for a more suitable time to invest. Using such knowledge provides the potential to change the investment climate in mining
Carbon Subsidies, Taxes and Optimal Forest Management
Optimal forest harvest policy, Real options, Carbon credits, Q23, Q28, Q15,