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[51]Xu Qifa，Bo Zhongpu,Jiang Cuixia,Liu Yezheng，Does Google search index really help predicting stock market volatility? Evidence from a modified mixed data sampling model on volatility.[J:Knowledge-Based Systems,2018,166):170-185.
[52]Xu Qifa，Cai Chao,Jiang Cuixia,Huang Xue，Quantile regression for large-scale data via sparse exponential transform method.[J:Statistics,2019,53(1):26-42.
[53]Xu Qifa，Zhuo Xingxuan,Jiang Cuixia,Liu Yezheng，An artificial neural network for mixed frequency data.[J:Expert Systems with Applications,2018,118):127-139.
[54]许启发，王侠英,蒋翠侠,熊熊，基于藤copula-CAViaR方法的股市风险溢出效应研究.[J:系统工程理论与实践,2018,38(11):2738-2749.
[55]许启发，丁晓涵，蒋翠侠，基于Expectile回归的均值-ES组合投资决策.[J:中国管理科学,2018,26(10):20-29.
[56]许启发，刘曦,蒋翠侠,虞克明，分位数向量自回归分布滞后模型及脉冲响应分析.[J:系统工程学报,2018,33(4):472-487.
[57]许启发，李辉艳,蒋翠侠,何耀耀，基于QRNN+GARCH方法的供应链金融多期价格风险测度及防范.[J:数理统计与管理,2018,37(4):728-740.
[58]许启发，左俊青，蒋翠侠，基于DCC-MIDAS与参数化策略的时变组合投资决策.[J:系统科学与数学,2018,38(4):438-455.
[59]Xu Qifa，Zhuo Xingxuan,Jiang Cuixia,Liu Xi,Liu Yezheng，Group penalized unrestricted mixed data sampling model with application to forecasting US GDP growthEconomic Modelling.[J:Economic Modelling,2018,75):221-236.
[60]Xu Qifa，Chen Lu,Jiang Cuixia,Yuan Jing，Measuring systemic risk of the banking industry in China: A DCC-MIDAS-t approach.[J:Pacific-Basin Finance Journal,2018,51):13-31.
total92 6/10
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