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Measuring the financial and social performance of French mutual funds: A data envelopment analysis approach

机译:测量的金融和社会绩效法国共同基金:数据包络分析方法

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摘要

Socially responsible investors pursue both financial and non-financial goals. In this paper, we attempt to assess the performance of French socially responsible mutual funds (SRMFs). We consider the data envelopment analysis (DEA) approach, which allows us to assign a unique efficiency score while combining financial and social characteristics, using various combinations within different types of risk (total risk, market risk, and downside risk). We report the list of funds found to be DEA efficient using various output-oriented models. We also compare our obtained results with the traditional and modern measures used in the literature (Sharpe, Treynor, and the information ratio). We contribute to the literature by testing the validity of the DEA methodology in the financial context. The findings have important implications for fund selection processes and would be mainly of interest to investors and fund managers who integrate environmental, social, and governance criteria into their investment choices.
机译:社会责任投资者追求金融和非金融目标。我们试图评估法的性能社会责任共同基金(SRMFs)。考虑数据包络分析(DEA)方法,它允许我们分配一个唯一金融和效率得分而结合社会特征,使用各种组合在不同类型的风险(总风险、市场风险和下行风险)。报告基金发现DEA的列表有效的使用各种output-oriented模型。我们也比较我们的结果传统与现代使用的措施文学(夏普指数、特雷诺和信息率)。测试的有效性DEA方法金融环境。基金选择的重要意义流程和主要感兴趣的投资者和基金经理整合环境、社会和治理标准到他们的投资选择。

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