天主教价值观的实际应用和直接索引:不需要表现忏悔

Rafika Shibly, Andrew Subkoviak, Paul Bouchey
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引用次数: 0

摘要

《Beta投资策略杂志》(the Journal of Beta Investment Strategies) 2022年夏季号的《天主教价值观和直接指数化:无需业绩忏悔》一文中,花旗私人银行的拉菲卡•希布利(Rafika Shibly)、参数投资组合联合公司的安德鲁•苏科维亚克(Andrew Subkoviak)和保罗•布切(Paul Bouchey)的作者证明,天主教投资者可以拥有符合其价值观的市场型投资组合,而不会牺牲回报。以天主教价值观为基础的投资利用天主教会的指导,帮助投资于促进人类尊严和共同利益的公司,同时从造成损害的公司中撤资。天主教徒可以投资现有的以天主教价值观为基础的指数基金,也可以使用直接指数来创建自己的投资组合,同时自己决定排除哪些公司。两位作者证明,现有的两个天主教价值指数的表现超过了标准普尔500指数等大盘指数,并公布了更高的风险调整回报率。然而,相对于基准指数,它们表现出明显的跟踪误差,这意味着它们的回报每年都偏离基准指数。作者证明,投资者可以通过创建单独管理账户(SMAs)来提高其投资组合与基准的一致性,然后使用直接索引来创建与基准指数基本匹配的投资组合,同时筛选出一些公司,然后使用投资组合优化来重新加权投资,以减少跟踪错误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Practical Applications of Catholic Values and Direct Indexing: No Performance Penance Needed
In Catholic Values and Direct Indexing: No Performance Penance Needed, from the Summer 2022 issue of The Journal of Beta Investment Strategies, authors Rafika Shibly (of Citi Private Bank) and Andrew Subkoviak and Paul Bouchey (both of Parametric Portfolio Associates) demonstrate that Catholic investors can own market-like portfolios that align with their values without sacrificing returns. Catholic values–based investing uses guidance from the Catholic Church to help invest in companies that promote human dignity and the common good, while divesting from companies that cause harm. Catholics can invest in existing Catholic values–based index funds or use direct indexing to create their own portfolios while deciding for themselves which companies to exclude. The authors demonstrate that two existing Catholic-values indexes have outperformed broad-market indexes like the S&P 500 and have posted higher risk-adjusted returns. However, they exhibit significant tracking error relative to their benchmark indexes, meaning their returns deviate from the benchmarks year to year. The authors demonstrate that investors can improve their portfolios’ consistency with benchmarks by creating separately managed accounts (SMAs), then using direct indexing to create portfolios that mostly match benchmark indexes while screening out some companies, and then using portfolio optimization to reweight investments in ways that reduce tracking error.
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