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首页> 外文期刊>International Journal of Uncertainty, Fuzziness, and Knowledge-based Systems >STUDY ON THE RESAMPLING TECHNIQUE FOR RISK MANAGEMENT IN THE INTERNATIONAL PORTFOLIO SELECTION BASED ON CHINESE INVESTORS
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STUDY ON THE RESAMPLING TECHNIQUE FOR RISK MANAGEMENT IN THE INTERNATIONAL PORTFOLIO SELECTION BASED ON CHINESE INVESTORS

机译:基于中国投资者的国际投资组合选择风险管理重采样技术研究

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摘要

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.
机译:在本文中,我们采用重采样方法来减少样本误差并提高经典均值方差模型的鲁棒性。通过比较经典平均方差投资组合和重采样投资组合的性能,我们表明重采样方法可以提高投资效率。通过对同时在中国市场和其他十二个主要金融市场投资的中国投资者的经验研究,我们表明,重采样方法有助于改善均值方差模型的性能。

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  • 作者单位

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

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

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

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

    Department of Mathematical Sciences, University of Cincinnati, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Resampling; portfolio optimization; uncertainty;

    机译:重采样;投资组合优化;不确定;

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