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摘要
En 中文
This article presents a set of qualitative characteristics and quantitative properties for arithmetic multiperiod performance attribution. Such characteristics and properties are essential for ensuring a sound and accurate linking of attribution effects over time. A comparison of various linking algorithms within this framework shows that linking algorithms that are not consistent with this set of quantitative properties can exhibit spurious effects that distort the attribution analysis.
Keyword:
PERFORMANCE
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
F
IF:
2.2
论文数:
1.2K
被引数:
3.1K
机构
暂无机构信息
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