考虑经济不确定性、消费与经济周期的股票市场资产定价
Asset Pricing in the Stock Market Considering Uncertainty in the Real Economy, Consumption, and Economic Cycle in the Real Economy
DOI: 10.12677/SD.2023.134148, PDF,   
作者: 龙 锐:云南财经大学金融学院,云南 昆明
关键词: 因子模型风险敞口Fama-MacBeth回归Factor Model Risk Exposure Fama-MacBeth Regression
摘要: 通过对2005年5月份到2022年4月份中国股票市场数据进行实证分析,检验了五因素分析方法在中国股票市场各阶段的运用情况。其主要的结果是:1) 在整个样本下,规模、账面市值比、盈利能力因子的定价能力是十分明显的,但存在投资风格因子冗余的情况;2) Carhart四因子在按宏观经济变量风险敞口分组的单一组合下具有较强的对A股市场的解释能力;而在多空组合下五因子模型表现更好;3) 可以根据宏观经济变量下的β构建合适的多空投资组合从而获得相对安全的投资回报。
Abstract: This article examines the application of the five-factor model in different periods of China’s stock market, using A-share listed companies from May 2005 to April 2022 as samples. The main con-clusions are as follows: 1) Under the entire sample, the pricing power of size, book-to-market ratio, and profitability factor is very obvious, but there is redundancy of investment style factors; 2) Carhart’s four factors have strong explanatory power for the A-share market under a single com-bination grouped by macroeconomic variable risk exposure; the five-factor model performs better under long and short combinations; 3) Based on macroeconomic variables β, we can build an ap-propriate long short portfolio to achieve a relatively safe return on investment.
文章引用:龙锐. 考虑经济不确定性、消费与经济周期的股票市场资产定价[J]. 可持续发展, 2023, 13(4): 1333-1343. https://doi.org/10.12677/SD.2023.134148

参考文献

[1] Parker, J.A. (2003) Consumption Risk and Expected Stock Returns. The American Economic Review, 93, 376-382. [Google Scholar] [CrossRef
[2] Merton, R.C. (1973) An Intertemporal Capital Asset Pricing Model. Econometrica, 41, 867-887. [Google Scholar] [CrossRef
[3] Lucas, R.E. (1978) Asset Prices in an Exchange Economy. Econometrica, 46, 1429-1445. [Google Scholar] [CrossRef
[4] Breeden, D.T. (1979) An Intertemporal Asset Pricing Model with Stochastic Consumption and Investment Opportunities. Journal of Financial Economics, 7, 265-296. [Google Scholar] [CrossRef
[5] 吴世农, 许年行. 资产的理性定价模型和非理性定价模型的比较研究[J]. 经济研究, 2004, 39(6): 105-116.
[6] 田利辉, 王冠英, 张伟. 三因素模型定价: 中国与美国有何不同[J]. 国际金融研究, 2014(7): 37-45.
[7] 舒建平, 肖契志, 王苏生. 动量效应与反转效应的演化: 基于深圳a股市场的实证[J]. 管理评论, 2012, 24(1): 52-57.
[8] 高秋明, 胡聪慧, 燕翔. 中国a股市场动量效应的特征和形成机理研究[J]. 财经研究, 2014, 40(2): 97-107.
[9] 赵胜民, 闫红蕾, 张凯. Fama-french五因子模型比三因子模型更胜一筹吗——来自中国a股市场的经验证据[J]. 南开经济研究, 2016(2): 41-59.
[10] 高春亭, 周孝华. 公司盈利, 投资与资产定价: 基于中国股市的实证[J]. 管理工程学报, 2016, 30(4): 25-33.
[11] 姜富伟, 薛浩, 周明. 大数据提升力多因子模型定价能力吗?——基于机器学习方法对我A股市场的探究[J]. 系统工程理论与实践, 2022, 42(8): 2037-2048.
[12] 林建浩, 李幸, 李欢. 中国经济政策不确定性与资产定价关系实证研究[J]. 中国管理科学, 2014(11): 222-226.
[13] 汪弘, 宋登辉, 陈立慧. 经济政策不确定性与股票收益[J]. 金融学季刊, 2018, 12(4): 1-20.
[14] Black, A.J., McMillan, D.G. and McMillan, F.J. (2015) Cointegration between Stock Prices, Divi-dends, Output and Consumption: Evidence and Forecasting Ability for 29 Markets. Review of Accounting and Finance, 14, 81-103. [Google Scholar] [CrossRef
[15] Campbell, J.Y. and Cochrane, J.H. (1999) By Force of Habit: A Consumption-Based Explanation of Aggregate Stock Market Behavior. Journal of Political Economy, 107, 205-251. [Google Scholar] [CrossRef
[16] Malloy, C.J., Moskowitz, T.J. and Vissing-Jrgensen, A. (2009) Long-Run Stockholder Consumption Risk and Asset Return. The Journal of Finance, 64, 2427-2479. [Google Scholar] [CrossRef
[17] 熊和平. 消费习惯、异质偏好与动态资产定价: 纯交换经济情形[J]. 经济研究, 2005, 40(10): 91 -100.
[18] 张喜艳. 经济政策不确定性对经济周期波动的影响研究[D]: [博士学位论文]. 长沙: 湖南大学, 2019: 1-137.
[19] 林建浩, 陈良源, 田磊. 货币政策不确定性是中国股票市场的定价因子吗[J]. 经济学(季刊), 2021, 21(4): 1275-1300.
[20] 祝梓翔, 邓翔. 信心、预期和中国经济周期波动[J]. 财贸经济, 2020, 41(2): 5-23.
[21] Brogaard, J. and Detzel, A. (2015) The Asset-Pricing Implications of Government Economic Uncertainty. Management Science, 61, 3-18. [Google Scholar] [CrossRef
[22] Guo, B., Zhang, W., Zhang, Y.J. and Zhang, H. (2017) The Five-Factor Asset Pricing Model Tests for the Chinese Stock Market. Pacific-Basin Finance Journal, 43, 84-106. [Google Scholar] [CrossRef
[23] Fama, E.F. and French, K.R. (2015) A Five-Factor Asset Pricing Model. Journal of Financial Economics, 116, 1-22. [Google Scholar] [CrossRef