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蒋翠侠

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[1]Jiang Cuixia，Zhu Jun,Xu Qifa，Which goods are most likely to be click farming? An evidence from the Taobao platform.[J:Electronic Commerce Research and Applications,2021):Accepted.
[2]Jiang Cuixia，Li Yuqian,Xu Qifa,Wu Jun，Reinvestigating international crude oil market risk spillovers to Chinese financial market via a novel copula-GARCH-MIDAS model.[J:Journal of Risk,2021,24(1):25-52.
[3]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.
[4]Jiang Cuixia，Li Yuqian,Xu Qifa,Liu Yezheng，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.
[5]Jiang Cuixia，Xiong Wei,Xu Qifa,Liu, Yezheng，Predicting default of listed companies in mainland China via U-MIDAS Logit model with group lasso penalty.[J:Finance Research Letters,2021,38):101487.
[6]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.
[7]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.
[8]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.
[9]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.
[10]Jiang Cuixia，Xu Qifa,Zhang Weiming,Li Mengting,Yang Shanlin，Does automatic bidding mechanism affect herding behavior? Evidence from online P2P lending in China.[J:Journal of Behavioral and Experimental Finance,2018,20):39-44.

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