学术报告：Factors in Fashion: Factor Analysis towards the Mode

报告时间：10月31日（星期四）上午10:30-11:30

报告地点：沙河校区，K8凯发1号楼102会议室

报告人💪🏽：涂云东🏸，北京大学光华管理K8凯发，教授

报告摘要：The modal factor model represents a new factor model for dimension reduction in high dimensional panel data. Unlike the approximate factor model that targets for the mean factors, it captures factors that influence the conditional mode of the distribution of the observables. Statistical inference is developed with the aid of mode estimation, where the modal factors and the loadings are estimated through maximizing a kernel-type objective function. An easy-to-implement alternating maximization algorithm is designed to obtain the estimators numerically. Two model selection criteria are further proposed to determine the number of factors. The asymptotic properties of the proposed estimators are established under some regularity conditions. Simulations demonstrate the nice finite sample performance of our proposed estimators, even in the presence of heavy-tailed and asymmetric idiosyncratic error distributions. Finally, the application to inflation forecasting illustrates the practical merits of modal factors.

报告人简介🔹：涂云东，北京大学光华管理K8凯发商务统计与经济计量系教授。入选“日出东方”北大光华青年人才，北京大学优秀博士学位论文指导教师(2017,2021,2024)，北京大学优秀研究生导师(2024)👦🏿，教育部“长江学者奖励计划”青年长江学者👷🏿‍♂️，国家杰出青年科学基金获得者。2004年和2006年先后获武汉大学理学学士学位和经济学硕士学位，2012年获美国加州大学河滨分校经济学博士学位。亚太青年计量经济学者会议发起人和主要组织者。40余篇学术论文发表在多个国际国内知名专业杂志🩱。著作教材《时间序列分析》由人民邮电出版社于2022年9月出版。研究领域涵盖时间序列分析、非参数计量方法☀️、大数据分析、金融计量和预测等👱🏿。

撰稿人🍻：刘洁

审稿人🚴🏻‍♂️：邓露