Chinese Journal of Management Science ›› 2022, Vol. 30 ›› Issue (1): 42-53.doi: 10.16381/j.cnki.issn1003-207x.2020.0317
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HU Zhi-jun, LING Ai-fan, YANG Chao
Received:
2020-03-02
Revised:
2020-05-13
Online:
2022-01-20
Published:
2022-01-29
Contact:
凌爱凡
E-mail:aiffling@163.com
CLC Number:
HU Zhi-jun, LING Ai-fan, YANG Chao. The Ambiguity Premium in China’s A-shares Market——The Analysis from Intra-day High Frequency Data[J]. Chinese Journal of Management Science, 2022, 30(1): 42-53.
[1] Merton R C. An intertemporal capital asset pricing model[J].Econometrica, 1973, 41(5): 867-887. [2] Campbell J Y, Hentschel L. No news is good news: An asymmetric model of changing volatility in stock returns[J]. Journal of Financial Economics, 1992, 31(3): 281-318. [3] Nelson D B. Conditional heteroskedasticity in asset returns: A new approach [J]. Econometrica, 1991,59(2): 347-70. [4] Goyal A, Santa-Clara P. Idiosyncratic risk matters![J]. Journal of Finance, 2003,58(3):975-1007. [5] Ghysels E, Santa-Clara P, Valkanov R. There is a risk-return trade-off after all [J]. Journal of Financial Economics, 2005,76(3):509-548. [6] Welch I, Goyal A. A comprehensive look at the empirical performance of equity premium prediction[J]. Review of Financial Studies, 2008,21(4):1455-1508. [7] Izhakian Y. A theoretical foundation of ambiguity measurement[J].Journal of Economic Theory, 2020,187, 105001. [8] Kahneman D, Tversky A. Prospect theory: An analysis of decision under risk[J].Econometrica, 1979,47(2):263-291. [9] Schmeidler D. Subjective probability and expected utility without additivity[J]. Econometrica,1989,57(3):571-587. [10] Ellsberg D. Risk, ambiguity, and the savage axioms[J]. Quarterly Journal of Economics, 1961,75(4): 643-669. [11] Gilboa I, Schmeidler D. Maxmin expected utility with non-unique prior[J]. Journal of Mathematical Economics, 1989,18(2):141-153. [12] Hansen L P, Sargent T J. Robustness[M]. Princeton university press, Princeton, NJ, 2008. [13] Klibanoff P, Marinacci M, Mukerji S. A smooth model of decision making under ambiguity[J].Econometrica,2005,73(6): 1849-1892. [14] Epstein L G, Wang Tan. Intertemporal asset pricing under knightian uncertainty[J]. Econometrica, 1994,62(3):283-322. [15] Chen Zengjing, Epstein L G. Ambiguity, risk, and asset returns in continuous time[J]. Econometrica, 2002,70(4):1403-1443. [16] Ju Nengjiu, Miao Jianjun. Ambiguity, learning, and asset returns[J]. Econometrica, 2012,80(2):559-591. [17] Brenner M, Izhakian Y. Asset pricing and ambiguity: empirical evidence[J]. Journal of Financial Economics, 2018,130(3): 503-531. [18] Anderson E W, Ghysels E, JuergensJ L. The impact of risk and uncertainty on expected returns[J]. Journal of Financial Economics, 2009,94(2):233-263. [19] Lee D H, Min B K, Kim T S. Dispersion of beliefs, ambiguity, and the cross-section of stock returns[J].Journal of Empirical Finance, 2019, 50:43-56. [20] Williams C D. Asymmetric responses to earnings news: a case for ambiguity[J]. Accounting Review, 2015, 90(2):785-817. [21] Cao H H, Wang Tan, Zhang H H. Model uncertainty, limited market participation, and asset prices[J]. Review of Financial Studies. 2005,18(4):1219-1251. [22] Epstein L G, Ji Shaolin. Ambiguous volatility and asset pricing in continuous time[J]. Review of Financial Studies, 2013, 26(7):1740-1786. [23] 郑振龙,汤文玉. 波动率风险及风险价格——来自中国A股市场的证据[J].金融研究,2011,4:143-157.Zheng Zhenlong,Tang Wenyu. Volatility risk and the risky price——evidence from China’s A-share market[J].Journal of Financial Research,2011,4:143-157. [24] 王茵田,朱英姿. 中国股票市场风险溢价研究[J].金融研究, 2011,7:152-166.Wang Yintian,Zhu Yingzi. Research on the risk premium of China's stock market[J]. Journal of Financial Research,2011,7:152-166. [25] 严武,熊航,凌爱凡. 公募基金年末业绩追逐与风险调整行为研究[J].财贸经济,2016,9: 81-96.YanWu, Xiong Hang, Ling Aifan. Year-end performance pursuit and risk adjustment of mutual funds[J]. Finance & Trade Economics,2016,9: 81-96. [26] 陈国进,晁江锋,武晓利.罕见灾难风险和中国宏观经济波动[J].经济研究,2014,49(8):54-66.Chen Guojin, Chao Jiangfeng, Wu Xiaoli. Raredisaster risk and the macroeconomic fluctuation in China[J].Economic Research Journal,2014,49(8):54-66. [27] 严伟祥,张维,牛华伟. 金融风险动态相关与风险溢出异质性研究[J]. 财贸经济,2017,38(10): 67-81.Yan Weixiang,Zhang Wei,Niu Huawei. A study on the dynamic correlation of financial risk and heterogeneity of risk spillover[J]. Finance & Trade Economics,2017,38(10): 67-81. [28] 黄卓,邱晗, 沈艳,等. 测量中国的金融不确定性——基于大数据的方法[J].金融研究,2018,11:30-46.Huang Zhuo, Qiu Han, Shen Yan, et al. Measuring China’s financial uncertainty: A method based on a large dataset[J]. Journal of Financial Research,2018,11:30-46. [29] 陈国进,丁杰,赵向琴. “好”的不确定性、“坏”的不确定性与股票市场定价[J]. 金融研究, 2019,7:174-190.Chen Guojin, Ding Jie, Zhao Xiangqin. “Good” uncertainty, “bad” uncertainty, and stock market pricing: high-frequency data in the Chinese stock market[J]. Journal of Financial Research, 2019,7:174-190. [30] 高金窑. 奈特不确定性与非流动资产定价:理论与实证[J]. 经济研究, 2013,48(10):82-97.Gao Jinyao. Illiquid asset pricing under knightian uncertainty: theory and evidence[J]. Economic Research Journal,2013,48(10):82-97. [31] 徐元栋. 投资者的奈特不确定性情绪与股市巨幅波动[J].系统工程学报, 2015,30(6):736-745.Xu Yuandong. Knightian uncertainty emotion of investors and the huge fluctuations of stock market[J].Journal of Systems Engineering,2015,30(6):736-745. [32] 郭荣怡,张顺明,纪晨.暧昧环境下的不对称信息更新与资产定价研究[J].系统工程理论与实践,2018,38(7):1633-1655.Guo Rongyi,Zhang Shunming,Ji Chen. Studies on asymmetric information updating and asset pricing in ambiguous economy[J]. Systems Engineering——Theory & Practice,2018, 38(7):1633-1655. [33] 何俊勇,张顺明. 在相关系数暧昧环境下的市场微观结构研究[J].中国管理科学,2018,26(4):139-154.He Junyong,Zhang Shunming. Market microstructure under ambiguity of correlation[J]. Chinese Journal of Management Science,2018,26(4):139-154. [34] Scholes M, Williams J. Estimating betas from nonsynchronous data[J]. Journal of Financial Economics, 1977,5(3): 309-327. [35] Newey W K, West K D. A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix[J]. Econometrica, 1987, 55(3):703-708. |
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