[1] Barndorff-Nielsen O E, Kinnebrock S, Shephard N. Measuring downside risk-realised semivariance//Bollerslev T, Russell J R, Watson M W. Volatility and time series econometrics: essays in honor of Robert F. Engle[M]. New York: Oxford University Press, 2010. 117-136. [2] Andersen T G, Bollerslev T, Diebold F X, Ebens H. The distribution of realized stock return volatility[J]. Journal of Financial Economics, 2001, 61(1): 43-76. [3] 陈声利,李一军,关涛.基于四次幂差修正HAR模型的股指期货波动率预测[J].中国管理科学,2018,26(01):57-71. [4] Patton A J, Sheppard K. Good volatility, bad volatility: signed jumps and the persistence of volatility[J]. The Review of Economics and Statistics, 2015, 97(3): 683-697. [5] Xie N, Wang Z, Chen S, Gong X. Forecasting downside risk in China's stock market based on high-frequency data[J]. Physica A: Statistical Mechanics and its Applications, 2019, 517: 530-541. [6] Gong X, Wen F, Xia X H, Huang J, Pan B. Investigating the risk-return trade-off for crude oil futures using high-frequency data[J]. Applied Energy, 2017, 196: 152-161. [7] Baruník J, Koáenda E, Vácha L. Asymmetric connectedness on the U.S. stock market: bad and good volatility spillovers[J]. Journal of Financial Markets, 2016, 27: 55-78. [8] Caloia F G, Cipollini A, Muzzioli S. Asymmetric semi-volatility spillover effects in EMU stock markets[J]. International Review of Financial Analysis, 2018, 57: 221-230. [9] Wang X, Wu C. Asymmetric volatility spillovers between crude oil and international financial markets[J]. Energy Economics, 2018, 74: 592-604. [10] Chuang C, Kuan C, Lin H. Causality in quantiles and dynamic stock return-volume relations[J]. Journal of Banking & Finance, 2009, 33(7): 1351-1360. [11] You W, Guo Y, Peng C. Twitter's daily happiness sentiment and the predictability of stock returns[J]. Finance Research Letters, 2017, 23: 58-64. [12] Reboredo J C, Ugolini A. Quantile causality between gold commodity and gold stock prices[J]. Resources Policy, 2017, 53: 56-63. [13] 许启发,伯仲璞,蒋翠侠.基于分位数Granger因果的网络情绪与股市收益关系研究[J].管理科学,2017,30(03):147-160. [14] Granger C W J. Investigating causal relations by econometric models and cross-spectral methods[J]. Econometrica, 1969, 37(3): 424-438. [15] Granger C W J. Testing for causality: a personal viewpoint[J]. Journal of Economic Dynamics and Control, 1980, 2: 329-352. [16] Andrews D W K. Tests for parameter instability and structural change with unknown change point[J]. Econometrica, 1993, 61(4): 821-856. [17] 史永东,李竹薇,陈炜.中国证券投资者交易行为的实证研究[J].金融研究,2009,(11):129-142. [18] 于全辉,孟卫东.牛熊市投资者情绪与上证综指的协整关系研究[J].预测,2010,29(05):53-56,67. [19] 王相宁,李月.整体视角下的投资者过度自信实证研究[J].数理统计与管理,2010,29(06):1115-1123. [20] 何诚颖,张龙斌,陈薇.基于高频数据的沪深300指数期货价格发现能力研究[J].数量经济技术经济研究,2011,28(05):139-151. [21] 张璐,万迪昉,王文虎,万方.投资者净持仓量与期货市场稳定性——基于分类账户数据的经验研究[J].预测,2018,37(01):56-61. [22] 何兴强,周开国.牛、熊市周期和股市间的周期协同性[J].管理世界,2006,(04):35-40. |