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Economic Management Journal

ISSN Print:2169-6020

ISSN Online:2169-6039

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Quantitative Investment Study of Crowding Factor from Sector Rotation Perspective

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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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