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来源类型Working Paper
规范类型报告
DOI10.3386/w23394
来源IDWorking Paper 23394
Replicating Anomalies
Kewei Hou; Chen Xue; Lu Zhang
发表日期2017-05-08
出版年2017
语种英语
摘要The anomalies literature is infested with widespread p-hacking. We replicate the entire anomalies literature in finance and accounting by compiling a largest-to-date data library that contains 447 anomaly variables. With microcaps alleviated via New York Stock Exchange breakpoints and value-weighted returns, 286 anomalies (64%) including 95 out of 102 liquidity variables (93%) are insignificant at the conventional 5% level. Imposing the cutoff t-value of three raises the number of insignificance to 380 (85%). Even for the 161 significant anomalies, their magnitudes are often much lower than originally reported. Out of the 161, the q-factor model leaves 115 alphas insignificant (150 with t < 3). In all, capital markets are more efficient than previously recognized.
主题Financial Economics ; Portfolio Selection and Asset Pricing ; Financial Markets
URLhttps://www.nber.org/papers/w23394
来源智库National Bureau of Economic Research (United States)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/581068
推荐引用方式
GB/T 7714
Kewei Hou,Chen Xue,Lu Zhang. Replicating Anomalies. 2017.
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