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152****0188 · 2024年11月18日

C不太理解

  1. ESG

NO.PZ2024010509000021

问题如下：

What is the least likely reason a fund manager will use an ESG research firm, like MSCI, to evaluate the portfolios it manages?

选项：

A.To test its own approach to ESG against a database

B.To prepare for clients’ questions about their ESG integration

C.To have access to the high quality of data from the research firm

解释：

C is correct. The least likely reason to use an ESG research firm is to have access to high quality data. The data in a research firm’s database are subject to issues arising from the quality and consistency of the data. Fund managers may not believe the outside data are a fair representation of the firm’s portfolios and ESG integration. A fund manager might choose to use a service like MSCI to test its own approach to ESG integration and to prepare for client questioning.

C是不是有点牵强，已经是high quality data，为何还会可能因数据质量和一致性问题而受到影响。谢谢

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1 个答案

王岑 · 2024年11月19日

嗨，爱思考的PZer你好：


同学你好，

这里的“高质量数据”并非绝对意义上的完美数据。尽管像 MSCI 这样的 ESG 研究公司提供的数据在行业中被广泛使用，但 ESG 数据领域存在一些公认的挑战，包括：

  • 数据来源的不一致性：不同公司对 ESG 因素的披露标准不同，这会导致数据难以比较。
  • 数据主观性：许多 ESG 评分基于专家分析和假设，而非完全客观的财务数据。
  • 覆盖范围的局限性：一些小型公司或新兴市场公司可能没有充分披露 ESG 数据，导致数据的不完整。

因此，尽管这些数据相对具有质量和系统性，但对于基金经理来说，其数据可能并不能完全满足其对“准确性”和“全面性”的需求。因为：

  • 数据可能不完全符合基金经理的需求：基金经理需要对自己的投资组合进行深度评估，而第三方数据可能仅提供“表层信息”或不适合特定的投资策略。例如，某些数据可能未能全面捕捉企业的长期 ESG 风险。
  • 基金经理通常更依赖内部研究：许多基金经理倾向于将外部 ESG 数据作为参考，而非唯一依据。他们更依赖内部分析来确保数据与投资目标的契合。
  • 数据问题并非少见：ESG 数据市场仍在快速发展，数据不一致和不全面的问题普遍存在，这降低了外部数据在决策中的权重。

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