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Indicator selection and stock return predictability

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成果类型:
期刊论文
作者:
Dai, Zhifeng;Zhu, Huan
作者机构:
[Dai, Zhifeng; Zhu, Huan] College of Mathematics and Statistics, Changsha University of Science and Technology, Hunan, 410114, China
语种:
英文
期刊:
NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE
ISSN:
1062-9408
年:
2021
卷:
57
页码:
101394
基金类别:
This work was supported by the National Natural Science Foundation of China granted [ 71771030 , 11301041 , 71671018 ], Scientific Research Fund of Hunan Provincial Education Department [grant number 19A007 ], Hunan Province Graduate Research and Innovation Project [ CX2019702 ].
机构署名:
本校为第一机构
院系归属:
数学与统计学院
摘要:
We propose a momentum-determined indicator-switching (MDIS) strategy, simple and effective, to improve the predictability of stock returns, which can effectively select predictors. Empirical results indicate that the stock return forecasts generated by the MDIS strategy are statistically and economically significant. And we find that super long-term momentum of predictability (SMoP) exists in predictive factors. That is, in a long period of time in the past, the best predictor among a series of factors has best prediction ability in the future....

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