共同基金流量-绩效关系的内生性:一个工具变量解

Mutual Funds Pub Date : 2021-08-12 DOI:10.2139/ssrn.3746457
David A. Rakowski, Ehab Yamani
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引用次数: 0

摘要

我们使用工具变量(IV)的方法来检查动态内生性的影响时,估计共同基金流动和业绩之间的关系。与先前研究中常用的单阶段估计方法不同,IV方法允许我们解决流量和性能之间的反向因果关系。通过严格的排除检验,我们得出结论,基金媒体覆盖率、风险排名和管理结构作为基金流动的外生工具在竞赛中胜出,而基金周转率和机构份额作为基金业绩的外生工具表现最佳。然后,我们证明了内生性偏差会导致单阶段估计中的不准确推断,当我们切换到IV方法时,流量和绩效系数估计的迹象逆转证明了这一点。我们发现,对模型规范的仔细关注使我们能够解决文献中几个广泛存在的不一致,这些不一致可能是由模型规范错误引起的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Endogeneity in the Mutual Fund Flow-Performance Relationship: An Instrumental Variable Solution
We use an instrumental variables (IV) approach to examine the effects of dynamic endogeneity when estimating the relationship between mutual fund flows and performance. Unlike the one-stage estimation approach commonly used in prior research, the IV approach allows us to address reverse causality between flow and performance. Through rigorous exclusion tests, we conclude that fund media coverage, risk ranking, and management structure win in a horse race as exogenous instruments for fund flow, while the fund turnover ratio and institutional share perform best as instruments for fund performance. We then demonstrate that endogeneity bias leads to inaccurate inferences in one-stage estimates, as evidenced by the reversals of the signs of flow and performance coefficient estimates when we switch to the IV approach. We find that careful attention to model specification allows us to resolve several widespread inconsistencies in the literature that were likely driven by model misspecification.
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