量化影响投资的影响

A. Lo, Ruixun Zhang
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引用次数: 4

摘要

我们提出了一个量化框架,用于评估任何形式的影响力投资的财务影响,包括社会责任投资(SRI)、环境、社会和治理(ESG)目标和其他非金融投资标准。我们推导了影响投资对传统均值方差最优投资组合的影响、改善或中性的条件,这取决于影响因子与未观察到的超额回报之间的相关性分别是负的、正的还是零。利用Treynor-Black组合来最大化影响投资组合的风险调整收益,我们提出了一种量化衡量影响投资与被动指数基准相比的财务回报或成本的方法。我们用生物技术风险慈善、从“罪恶”股票中撤资、投资ESG以及“meme”股票反弹(如2021年的GameStop)等例子来说明我们的方法。
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Quantifying the Impact of Impact Investing
We propose a quantitative framework for assessing the financial impact of any form of impact investing, including socially responsible investing (SRI), environmental, social, and governance (ESG) objectives, and other non-financial investment criteria. We derive conditions under which impact investing detracts from, improves on, or is neutral to the performance of traditional mean-variance optimal portfolios, which depends on whether the correlations between the impact factor and unobserved excess returns are negative, positive, or zero, respectively. Using Treynor-Black portfolios to maximize the risk-adjusted returns of impact portfolios, we propose a quantitative measure for the financial reward, or cost, of impact investing compared to passive index benchmarks. We illustrate our approach with applications to biotech venture philanthropy, divesting from “sin” stocks, investing in ESG, and “meme” stock rallies such as GameStop in 2021.
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