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Forecasting stock market returns: New technical indicators and two-step economic constraint method

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成果类型:
期刊论文
作者:
Dai, Zhifeng*;Dong, Xiaodi;Kang, Jie;Hong, Lianying
通讯作者:
Dai, Zhifeng
作者机构:
[Dai, Zhifeng; Dong, Xiaodi; Kang, Jie] Changsha Univ Sci & Technol, Coll Math & Stat, Changsha 410114, Peoples R China.
[Hong, Lianying] Hunan Normal Univ, Coll Business, Changsha 410081, Peoples R China.
通讯机构:
[Dai, Zhifeng] C
Changsha Univ Sci & Technol, Coll Math & Stat, Changsha 410114, Peoples R China.
语种:
英文
关键词:
Stock return predictability;Economic constraints;Out-of-sample forecast;Technical indicators;Asset allocation
期刊:
NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE
ISSN:
1062-9408
年:
2020
卷:
53
页码:
101216
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71771030, 11301041]; National Social Science Foundation of China [19BJL120]; 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:
The goal of our paper is to improve the accuracy of stock return forecasts by combining new technical indicators and a new two-step economic constraint forecasting model. Empirical results indicate the stock return forecasts generated by new technical indicators and new economic constraint forecasting model is statistically and economically significant both in-sample and out-of-sample prediction performance. In addition, the prediction performance of new technical indicators and new economic constraint forecasting...

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