Performance evaluation with transactions data: The stock selection of investment newsletters

成果类型:
Article
署名作者:
Metrick, A
署名单位:
Harvard University; National Bureau of Economic Research
刊物名称:
JOURNAL OF FINANCE
ISSN/ISSBN:
0022-1082
DOI:
10.1111/0022-1082.00165
发表日期:
1999
页码:
1743-1775
关键词:
MUTUAL FUND PERFORMANCE MARKET-EFFICIENCY returns recommendations persistence INFORMATION issues BIAS RISK
摘要:
This paper analyzes the equity-portfolio recommendations made by investment newsletters. Overall, there is no significant evidence of superior stock-picking ability for this sample of 153 newsletters. Moreover, there is no evidence of abnormal short-run performance persistence (hot hands). The comprehensive and bias-free transactions database also allows for insights into the precision of performance evaluation. Using a measure of precision defined in the paper, a transactions-based approach yields a median improvement of 10 percent over a corresponding factor model. This compares favorably with the precision gained by adding factors to the CAPM.