MS Student University of Georgia Athens, Georgia, United States
Investors often face challenges in assessing the risks associated with timberland investments. These challenges stem from the limited scope of existing assessment models. This research offers portfolio managers a more precise understanding of potential returns and risks associated with brownfield timberland investments through an assessment framework based on deterministic models.
Learning Objectives:
Estimate the impact of timber price fluctuations on the returns of brownfield timberland investments
Estimate the impact of land price appreciation on the returns of brownfield timberland investments
Make more informed decisions regarding resource allocation for brownfield timberland investments
