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A new network DEA model for mutual fund performance appraisal: An application to U.S. equity mutual funds

机译:共同基金绩效评估的新网络DEA模型:对美国股票共同基金的应用

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摘要

Mutual fund is a popular investment vehicle for investors. Investors usually judge fund manager performance relative to target benchmarks. Fund managers, on the other hand, are interested in knowing how/why they perform well or poorly relative to their peers in different aspects of fund management as well. To acquire more insights about this issue and design a comprehensive performance measure, fund management function is conceptualised as a three-stage production process. To assess overall and stage level performance, a network data envelopment analysis model is developed. The stage-level processes are deemed to operate under two different environmental conditions-levels of risk exposure. Operation under different levels of risk exposure is modelled through conditions imposed on the intermediate measures. A new index proposed to assess linkage performance is demonstrated empirically to improve discriminatory power of performance. Further applications of the proposed model are discussed. (C) 2017 Elsevier Ltd. All rights reserved.
机译:共同基金是投资者欢迎的投资工具。投资者通常会根据目标基准来判断基金经理的表现。另一方面,基金经理也有兴趣了解他们在基金管理的不同方面相对于同行表现如何或为什么较差。为了获得有关此问题的更多见解并设计全面的绩效指标,将资金管理功能概念化为三个阶段的生产过程。为了评估总体和阶段性能,开发了网络数据包络分析模型。阶段级流程被视为在两种不同的环境条件下运行-风险暴露级别。通过对中间措施施加条件,可以模拟在不同风险暴露水平下的操作。提出了评估联动性能的新指标,以提高性能的歧视性。讨论了所提出模型的进一步应用。 (C)2017 Elsevier Ltd.保留所有权利。

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