[1] BLACK F. Studies of stock market volatility changes[R].Proceedings of the American Statistical Association, Business and Economic Statistical Section, 1976:177-181.
[2] ENGLE F. Autoregressive conditional heteroskedasticity with estimates of the variance United Kingdom inflation[J]. Econometrica, 1982(4):987-1008.
[3] BOLLERSLEV T. Generalized autoregressive conditional hetero-skedasticity[J]. Journal of Econometrics, 1986(3):307-327.
[4] NELSON B. Conditional heteroskedasticity in asset returns-a new approach[J]. Econometrica, 1991(3):47-70.
[5] ZAKOIAN J. Threshold heteroskedastic models[J]. Journal of Economic Dynamics and Control, 1994(18):202-226.
[6] CLARK K Y,THOMAS S H. The integration and efficiency of international bond markets[J]. Journal of Business, 1973(4):31-50.
[7] TAYLOR S. Modeling financing time series[M]. New York:Wiley, 1986:62-95.
[8] TAUCHEN H,PITTS M. Threshold models in nonlinear time series analysis[J]. Springer,1983(35):271-290.
[9] KIM S,SHEPHARD N. Comment of bayesian analysis of stochastic volatility[J]. Journal of Business and Economics Statistics,1998(4):371-471.
[10] KOOPMAN S,USPENSKY E. The Stochastic volatility in mean model:Empirical evidence from international stock market[J]. Journal of Applied Econometrics,2002(6):667-689.
[11] LO A W. Long-term memory in stock market prices[R]. Cambridge,Massachusetts:National Bureau of Economic Research, 1989:NO.2984.
[12] KAROLYI G A. A multivariate garch model of international transmissions of stock returns and volatility:The case of the United States and Canada[J]. Journal of Business and Economic Statistics, 1995(1):11-25.
[13] ANDERSEN T G, BOLLERSLEV T,DIEBOLD F X, et al. Exchange rate returns standardized by realized volatility are gaussian[J].Multinational Finance Journal, 2000(3):159.
[14] FORNARI F, MELE A. Financial volatility and economic activity[J].Journal of Financial Management,Markets and Institutions,2013,1(2):155-198.
[15] 翁黎炜,黄薇.中国股市ARCH效应分析——基于沪市A股实证分析[J]. 财经界(学术版),2010(2):18-19.
[16] 张婧. 基于上证指数的中国股市ARCH效应分析[J]. 价值工程,2014(32):230-231.
[17] 文凤华,刘晓群,唐海如,等.基于LHAR-RV-V模型的中国股市波动性研究[J].管理科学学报,2012,15(6):59-67.
[18] 邓晓益,郭庆春.证券市场成交量对收益率波动性影响的实证分析[J].上海金融学院学报,2007(3):27-31.
[19] 周孝华,吴命.基于EC-EGARCH-M模型的沪深股市波动性研究[J].软科学,2010(1):126-130.
[20] 陈其安,张媛,刘星.宏观经济环境、政府调控政策与股票市场波动性——来自中国股票市场的经验证据[J].经济学家,2010(2):90-98.
[21] 梁益年.股票市场波动性传递的多维GARCH分析[D].杨凌:西北农林科技大学,2009.
[22] 郑冲.中国股市波动性的影响因素研究——基于多因素交互效应的视角[D].北京:北京交通大学,2012.
[23] 鲁万波.基于非参数GARCH模型的中国股市波动性预测[J].数理统计与管理,2006(4):455-461.
[24] 杨二鹏,张德生,李文静.基于非参数模型的沪深300指数波动性研究[J].纺织高校基础科学学报,2010(1):42-45.
[25] BAILLIE R T. Long-memory processes and fractional integration in econometrics[J]. Journal of Econometrics,1996(1):5-59.
[26] HANNAN E,RISSANEN J. Recursive estimation of mixed autoregressive-moving average order[J].Biometrika, 1982(1):81-94.
[27] ENGLE R, LILIEN D, ROBBINS R. Estimating time varying risk premia in the term structure:The ARCH-M Model[J]. Journal of the Econometric Society, 1987(2):391-407.
[28] 蒋祥林,王春峰,吴晓霖.基于状态转移ARCH模型的中国股市波动性研究[J].系统工程学报,2004(3):273. |