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PREDICTION OF STOCK RETURNS: SUM-OF-THE-PARTS METHOD AND ECONOMIC CONSTRAINT METHOD

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成果类型:
期刊论文
作者:
Dai, Zhifeng*;Zhou, Huiting
通讯作者:
Dai, Zhifeng
作者机构:
[Zhou, Huiting; Dai, Zhifeng] Changsha Univ Sci & Technol, Coll Math & Stat, Changsha 410114, Hunan, Peoples R China.
通讯机构:
[Dai, Zhifeng] C
Changsha Univ Sci & Technol, Coll Math & Stat, Changsha 410114, Hunan, Peoples R China.
语种:
英文
关键词:
SOP method;economic constraint method;stock return predictability;out-of-sample forecast;asset allocation;C53;G11;G17
期刊:
Sustainability
ISSN:
2071-1050
年:
2020
卷:
12
期:
2
页码:
541
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71771030, 71671018, 11301041]; Scientific Research Fund of Hunan Provincial Education DepartmentHunan Provincial Education Department [19A007]
机构署名:
本校为第一且通讯机构
院系归属:
数学与统计学院
摘要:
Forecasting stock market returns has great significance to asset allocation, risk management, and asset pricing, but stock return prediction is notoriously difficult. In this paper, we combine the sum-of-the-parts (SOP) method and three kinds of economic constraint methods: non-negative economic constraint strategy, momentum of return prediction strategy, and three-sigma strategy to improve prediction performance of stock returns, in which the price-earnings ratio growth rate (gm) is predicted by economic constraint methods. Empirical results suggest that the stock return forecasts by proposed...

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