共同基金
文件夹
相似性(几何)
目标日期基金
业务
封闭式基金
指数基金
基点
开放式基金
经理人基金经理
基金管理
计量经济学
金融经济学
基金基金
精算学
经济
财务
计算机科学
机构投资者
债券
人工智能
图像(数学)
市场流动性
公司治理
作者
Ping McLemore,Richard W. Sias,Chi Wan,H. Zafer Yüksel
标识
DOI:10.1017/s0022109021000685
摘要
Abstract We examine whether superior understanding of technological innovation is a source of mutual fund managers’ ability to garner positive abnormal returns. Consistent with our hypothesis, the inter-quintile annual net Carhart alpha spread for mutual funds sorted on changes in the technological similarity (TS) of their portfolio holdings is 282 basis points. Moreover, because changes in TS are largely orthogonal to other predictors of mutual fund success (e.g., industry concentration, active share, fund R 2 , and lag fund alpha), changes in TS can be combined with other measures to help identify the best performing funds.
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