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Timberland Return Drivers and Timberland Returns and Risks: A Simulation Approach

机译:Timberland收益驱动因素和Timberland收益与风险:一种模拟方法

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摘要

Timberland assets exhibit several unique characteristics that are attractive to investors. In this study, we examined the three return drivers of timberland investments—timber price change, land value appreciation, and biological growth, in two settings. Timberland returns in the past 15 years were analyzed via a hypothetical loblolly pine plantation bought at age 10 years and sold at age 25 years. Results revealed that timber price had a negative contribution to the total returns. With declining timber prices, annualized average returns dropped from 14.31% for 1982-1997 to 6.88% for 1995-2010. Looking forward, timberland investment returns in the next 15 years were simulated by Monte Carlo simulations with both random and mean-reverting timber prices. Expected mean returns with random timber prices were found to be 8.35-10.16%, and those with mean-reverting timber prices were 7.25-8.56%. Returns with random timber prices were more volatile. Despite different time periods under investigation and timber price assumptions in the simulations, biological growth was identified as the dominant contributor to the total returns. However, timber price assumptions affect values of timber cut contracts, timberland liquidation values, and default risks of leveraged timberland investments.
机译:Timberland资产具有吸引投资者的几个独特特征。在这项研究中,我们考察了林地投资的三个回报驱动因素:木材价格变化,土地价值增值和生物增长,这是在两种情况下进行的。通过在10岁时购买并在25岁时出售的假想松树人工林来分析过去15年的Timberland回报。结果表明,木材价格对总回报有负面影响。随着木材价格的下降,年均回报率从1982-1997年的14.31%下降至1995-2010年的6.88%。展望未来,未来15年的林地投资回报将通过蒙特卡洛模拟法模拟,其中包括随机价格和均价恢复的木材价格。随机木材价格的预期平均收益为8.35-10.16%,而平均木材价格的预期平均收益为7.25-8.56%。木材价格随机的回报波动更大。尽管在模拟中调查的时间段和木材价格假设不同,但生物增长被确定为总回报的主要贡献者。但是,木材价格假设会影响木材砍伐合同的价值,林地清算价值以及杠杆林地投资的违约风险。

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