High Dimensional Minimum Variance Portfolio Estimation-厦门大学经济学院统计学与数据科学系

High Dimensional Minimum Variance Portfolio Estimation

主讲人:Yingying Li
主讲人简介:

Prof.Li Yingying is an associate professor in the Department of ISOM and Department of Finance, Hong Kong University of Science and Technology. As an expert in financial econometrics, she has published papers in several top-tier journals, including Econometrica, Journal of Financial Economics, Journal of Econometrics, Journal of the American Statistical Association, and Annals of Statistics, among others.

主持人:谢沛霖助理教授
简介:

We study the estimation of high dimensional minimum variance portfolio (MVP).Under the high frequency setting, returns can exhibit heteroskedasticity and possibly be contaminated by microstructure noise. Under some sparsity assumptions on the precision matrix, we propose an estimator of MVP, which asymptotically achieves the minimum variance. Simulation and empirical studies demonstrate that our proposed portfolio performs favorably. 

时间:2017-04-14(Friday)16:40-18:10
地点:经济楼N302
主办单位:厦门大学经济学院、王亚南经济研究院
承办单位:厦门大学经济学院金融系
类型:系列讲座
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