STUDY ON THE RESAMPLING TECHNIQUE FOR RISK MANAGEMENT IN THE INTERNATIONAL PORTFOLIO SELECTION BASED ON CHINESE INVESTORS

Author:

YU MEI1,BIAN JIANGZE1,XIE HAIBIN1,ZHANG QIN1,RALESCU DAN2

Affiliation:

1. Research Center of Applied Finance, School of Finance & Banking, University of International Business and Economics, Beijing 100029, China

2. Department of Mathematical Sciences, University of Cincinnati, USA

Abstract

In this paper, we employ the resampling method to reduce the sample errors and increase the robustness of the classic mean variance model. By comparing the performances of the classic mean variance portfolio and the resampled portfolio, we show that the resampling method can enhance the investment efficiency. Through an empirical study of Chinese investors who invest in both Chinese market and other twelve major financial markets, we show that the resampling method helps to improve the performance of the mean variance model.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Software

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Robustness-based portfolio optimization under epistemic uncertainty;Journal of Industrial Engineering International;2018-10-11

2. A portfolio optimization model based on information entropy and fuzzy time series;Fuzzy Optimization and Decision Making;2015-03-21

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