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Assessing the role of US timberland assets in a mixed portfolio under the mean-conditional value at risk framework

机译:在风险均值条件框架下评估美国林地资产在混合投资组合中的作用

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This study examines the role of U.S. timberland assets in a mixed portfolio from the risk perspective. Under the mean-conditional value at risk (M-CVaR) optimization framework, the efficient frontier of the mixed portfolio is dramatically improved after adding timberland assets in comparison of the mean-variance (M-V) efficient frontier. The asset allocation strategies formulated by the static and dynamic optimizations indicate that timberland assets maintain a significant allocation in the mixed portfolio. Moreover, risk decomposition is used to identify the risk sources under four different scenarios. It is found that large-cap stocks and small-cap stocks are generally risk intensifiers, whereas treasury bonds, treasury bills, and timberland assets are risk diversifiers. (C) 2014 Elsevier B.V. All rights reserved.
机译:这项研究从风险的角度考察了美国林地资产在混合投资组合中的作用。在均值条件风险值(M-CVaR)优化框架下,与平均方差(M-V)有效边界相比,添加林地资产后,混合投资组合的有效边界得到了显着改善。通过静态和动态优化制定的资产分配策略表明,林地资产在混合投资组合中保持着重要的分配。此外,风险分解用于识别四种不同情况下的风险来源。人们发现,大盘股和小盘股通常是风险增强器,而国债,国库券和林地资产是风险分散器。 (C)2014 Elsevier B.V.保留所有权利。

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