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经济管理学刊

《经济管理学刊》是一本关注经济管理领域最新进展的开源国际学术期刊。本刊采用开放获取模式,报道经济管理领域的最新科研成果,旨在反映学术前沿进展及水平,促进学术交流,为国内外该领域的学者、科研人员提供一个良好的交流平台,以推进经济管理理论与实务的发展。本刊可接收中、英文稿件。但中文稿件要有详细的英文标题、作者、单位、摘要和关键词。初次投稿请按照稿件模板排版后在线投稿。录用的稿件首先刊发在期刊网站上,然后由Ivy Publisher出版公司高质量出版,面…… 【更多】 《经济管理学刊》是一本关注经济管理领域最新进展的开源国际学术期刊。本刊采用开放获取模式,报道经济管理领域的最新科研成果,旨在反映学术前沿进展及水平,促进学术交流,为国内外该领域的学者、科研人员提供一个良好的交流平台,以推进经济管理理论与实务的发展。

本刊可接收中、英文稿件。但中文稿件要有详细的英文标题、作者、单位、摘要和关键词。初次投稿请按照稿件模板排版后在线投稿。录用的稿件首先刊发在期刊网站上,然后由Ivy Publisher出版公司高质量出版,面向全球公开发行。因此,要求来稿均不涉密,文责自负。

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Paper Infomation

Quantitative Investment Study of Crowding Factor from Sector Rotation Perspective

Full Text(PDF, 1686KB)

Author: Sichen Ye

Abstract: This paper focuses on the crowding phenomenon existing in the A-share market. By fitting the most effective market crowding indicator through relevant validity tests of crowding proxy variables, high-quality industries and individual stocks in rotation using multi-factor composite crowding indicator then selects are selected to construct a dynamic stock pool. A return test of the crowding factor strategy is conducted using quantitative backtesting software to prove its validity and relevant ability. The risk of overheating in various industries is quantitatively analyzed through the composite congestion indicator, so as to construct industry allocation strategy. The continuous congestion indicators are constructed from the perspective of industry index and constituent stocks, and the validity of congestion indicators is verified using the logistic restriction regression method, in order to explore the indicator that can stably reveal the overheating state of market trading. After backtesting and optimization, the final composite congestion indicator is formed, according to which safe and risky industries are screened, and the final industry allocation strategy is constructed, which proves the uniqueness of congestion in the field of market trading.

Keywords: A-share Market, Sector Rotation, Congestion Proxy Variables, Quantitative Trading

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