Fuzzy confrontations of models of ESG investing versus non-ESG investing based on artificial intelligence algorithms

IF 3.8 Q1 BUSINESS, FINANCE

Journal of Sustainable Finance & Investment Pub Date : 2022-01-31 DOI:10.1080/20430795.2022.2030666

Stanislav Škapa, Nina Bočková, Karel Doubravský, M. Dohnal

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引用次数: 3

Abstract

ABSTRACT ESG (Environmental, social, and corporate governance) parameters are involved in investing-related decision-making. DESG (Dominantly ESG) related investing represents a complex tasks studied under severe information shortages. NESG (Non-dominantly ESG) investing either ignores ESG parameters completely or it takes it as less important. ESG investing is partially DESG and partially NESG. A very simple fuzzy reasoning algorithm is used to find out the similarity between DESG and NESG in this paper. A similarity graphs is generated. An edge represents a fuzzy similarity between two nodes / conditional statements. Each statement specifies fuzzy conditions under which some DESG/NESG tools are mutually similar or totally dissimilar. Examples of investing tools are Developed Markets, Emerging Markets Small Caps, Sustainability Index and Environmental Social Governance Index. The following five parameters of investing tools are Risk, Cost, Return, Drop, and Correlation. Low pairwise fuzzy similarities between DESG and NESG are detected.

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基于人工智能算法的ESG投资与非ESG投资模型的模糊对抗

摘要ESG（环境、社会和公司治理）参数涉及投资相关决策。DESG（主导ESG）相关投资是在严重信息短缺的情况下研究的一项复杂任务。NESG（非主导ESG）投资要么完全忽略ESG参数，要么认为它不那么重要。ESG投资部分是DESG，部分是NESG。本文使用一种非常简单的模糊推理算法来找出DESG和NESG之间的相似性。生成相似性图。边表示两个节点/条件语句之间的模糊相似性。每个语句都指定了一些DESG/NESG工具相互相似或完全不同的模糊条件。投资工具的例子有发达市场、新兴市场小盘股、可持续发展指数和环境社会治理指数。投资工具的以下五个参数是风险、成本、回报、下跌和相关性。检测到DESG和NESG之间的低成对模糊相似性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Sustainable Finance & Investment Multiple-

CiteScore

10.60

自引率

7.00%

发文量