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许启发

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[81]Liu Shuting，Xu Qifa，Jiang Cuixia，Systemic risk of China's commercial banks during financial turmoils in 2010-2020: A MIDAS-QR based CoVaR approach.[J:Applied Economics Letters,2020):In press.
[82]Jiang Cuixia，Zhu Jun，Xu Qifa，Dissecting click farming on the Taobao platform in China via PU learning and weighted logistic regression.[J:Electronic Commerce Research,2020):In press.
[83]Jiang Cuixia，Han Ranran，Xu Qifa，The impact of social media input intensity on reward-based crowdfunding performance: Evidence from China.[J:Electronic Commerce Research,2021):Accepted.
[84]Wang Liukai，Yan Ji,Chen Xiaohong,Xu Qifa，Do network capabilities improve corporate financial performance? Evidence from financial supply chains.[J:International Journal of Operations & Production Management,2021,41(4):336-358.
[85]Wang Liukai，Jia Fu,Chen Lujie,Xu Qifa,Lin Xiao，Exploring the dependence structure among Chinese firms in the 5G industry.[J:Industrial Management & Data Systems,2021,121(2):409-435.
[86]Jiang Cuixia，Li Yuqian，Xu Qifa，Measuring risk spillovers from multiple developed stock markets to China: A vine-copula-GARCH-MIDAS model.[J:International Review of Economics & Finance,2021,75):386-398.
[87]Jiang Cuixia，Xiong Wei，Xu Qifa，Predicting default of listed companies in mainland China via U-MIDAS Logit model with group lasso penalty.[J:Finance Research Letters,2021,38):101487.
[88]Jiang Cuixia，Han Ranran,Xu Qifa,Liu Yezheng，The impact of soft information extracted from descriptive text on crowdfunding performance.[J:Electronic Commerce Research and Applications,2020,43):101002.
[89]Jiang Cuixia，Ding Xiaoyi,Xu Qifa,Tong Yongbo，A TVM-Copula-MIDAS-GARCH model with applications to VaR-based portfolio selection.[J:North American Journal of Economics and Finance,2020,51):101074.
[90]Jiang Cuixia，Ding Xiaoyi,Xu Qifa,Liu Xi,Liu Yezheng，Portfolio selection based on predictive joint return distribution.[J:Applied Economics,2019,51(2):196-206.

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