系统ESG风险与最优投资组合选择决策准则

SSRN Pub Date : 2022-08-29 DOI:10.2139/ssrn.3962574
Ick Jin
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引用次数: 5

摘要

作者提出了一个替代的环境、社会和治理(ESG)整合框架来优化投资组合,以反映系统性ESG风险可以解释证券价格的共同运动。该框架由双指标模型、两层分组和最优投资组合的扩展准则决策规则组成。作者的方法清楚地表明,在投资组合优化过程中,机构投资者如何管理系统的ESG风险,而不是单个的ESG风险。该框架还提供了一个简单的决策规则,这是对复杂非线性规划算法的实用补充,并清楚地显示了使其可取的安全特性。将该框架应用于美国股票共同基金表明,该方法可以帮助投资者了解系统性ESG风险与未来风险或回报的相关性,战略性地管理系统性ESG风险,并提高投资组合的风险调整回报。因此,作者的框架可以提供一种易于处理的实证方法,与最近的ESG因素投资理论分析相兼容。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systematic ESG Risk and Decision Criteria for Optimal Portfolio Selection
The author suggests an alternative environmental, social, and governance (ESG) integration framework for portfolio optimization to reflect that systematic ESG risk can account for joint movement in security prices. The author’s framework consists of the double-index model, the two-layer grouping, and the extended-criteria decision rule for optimal portfolio selection. The author’s approach clearly shows how institutional investors can manage systematic ESG risk, rather than individual ESG risk, during portfolio optimization. The framework also provides a simple decision rule, a practical complement for complicated nonlinear programming algorithms, and clearly shows the security characteristics that make it desirable. Applying the framework to US equity mutual funds indicates that the approach can help investors understand how systematic ESG risk is relevant to future risks or returns, strategically manage systematic ESG risk, and improve the portfolio’s risk-adjusted return. Thus, the author’s framework can provide a tractable empirical method compatible with recent theoretical analyses on ESG factor investing.
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