基于A股价量因子的行业轮动策略研究
Research on Industry Rotation Strategy Based on A-Share Price Volume Factor
摘要: 研究旨在探究基于A股市场的价量因子在行业轮动策略中的应用。通过对A股市场相关数据的全面收集和精确处理,构建基于价量因子的多因子模型,并将其嵌入行业轮动策略框架进行实证分析。研究结果清楚揭示了价量因子在捕捉A股市场行业轮动方面的显著能力。经过一系列回测实验,充分验证了该策略在A股市场中取得了出色的收益表现。此外,出于对风险管理方面的考量,特提出针对性建议,旨在协助市场投资者更有效地管理风险并制定相关策略。
Abstract: This paper aims to explore the application of price and volume factors based on A-share market in industry rotation strategies. Through the comprehensive collection and accurate processing of A-share market related data, a multi-factor model based on price and volume factors is constructed, and it is embedded in the industry rotation strategy framework for empirical analysis. The results clearly reveal the significant ability of price and volume factors in capturing the industry rotation of the A-share market. After a series of backtesting experiments, it is fully verified that the strategy has achieved excellent income performance in the A-share market. In addition, this article provides targeted recommendations for risk management considerations, aiming to help market investors manage risks more effectively and develop relevant strategies. In summary, the research results of this paper are not only of great significance at the academic level, but also have guiding value at the practical level.
文章引用:李奥辉, 刘胜题. 基于A股价量因子的行业轮动策略研究[J]. 运筹与模糊学, 2023, 13(5): 5717-5729. https://doi.org/10.12677/ORF.2023.135571

参考文献

[1] 苏民. 中国A股市场行业轮动现象研究[J]. 南方金融, 2017(2): 40-48.
[2] 武文超. 中国A股市场的行业轮动现象分析——基于动量和反转交易策略的检验[J]. 金融理论与实践, 2014(9): 111-114.
[3] 丁广军. 基于沪深300的量化选股模型实证分析[J]. 经济研究, 2011, 4(8): 23-28.
[4] 康力, 李振飞. 行业因素对我国A股市场收益率的效应研究——基于2001~2010年面板数据的实证研究[J]. 投资研究, 2012, 31(7): 65-77.
[5] Alexious, C. and Tyagi, A. (2020) Gauging the Effectiveness of Sector Rotation Strategies: Evidence from the USA and Europe. Journal of Asset Management, 21, 1-22. [Google Scholar] [CrossRef
[6] Sassetti, P. and Tani, M. (2009) Dynamic Asset Allocation Using Systematic Sector Rotation. The Journal of Wealth Management, 8, 59-70. [Google Scholar] [CrossRef
[7] Molchanov, A. and Stangl, J. (2018) Investor Sentiment and Industry Returns. International Journal of Finance & Economics, 23, 546-570. [Google Scholar] [CrossRef
[8] Ambarita, A.P. and Soekarno, S. (2013) Sector Rotation Investment Strategy in Indonesia Stock Exchange. World Applied Sciences. Economic, Finance and Management Outlooks, 60-65.
[9] 王璇. A股市场行业板块轮动效应及驱动因素研究[D]: [硕士学位论文]. 济南: 山东大学, 2022.
[10] 于乃书, 于棚土. 人民币汇率与我国股市综合指数及行业指数变动关系的实证分析[J]. 统计与决策, 2018, 34(22): 158-161.
[11] 张学勇, 吴雨玲, 陈锐. 行业配置与基金业绩:基于行业集中度和行业活跃度的研究[J]. 数理统计与管理, 2018, 37(3): 478-491.
[12] 周亮. 经济周期视角下我国股市行业配置研究[J]. 金融与经济, 2019(5): 83-88.
[13] Conover, C.V., Jensen, G.R., Johnson, R.R. and Mercer, J.M. (2008) Sector Rotation and Monetary Conditions. The Journal of Investing Spring, 17, 34-46. [Google Scholar] [CrossRef
[14] Partha, S.M. (2005) Separating Winners from Losers among Low Book-to-Market Stocks Using Financial Statement Analysis. Review of Accounting Studies, 10, 133-170. [Google Scholar] [CrossRef