Evaluation of Chinese money funds' performance

Zhang Ying, Tan Min-zhi, A. Tjong
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Abstract

This paper evaluates the performance of nineteen sample funds for the period from 2007 to 2011 using three indices for measurement. Generally, Sharpe Index is the best measurement to evaluate the Chinese funds performance, but it still has some limitations while the averages of returns are not normally distributed. In order to solve this problem, we modified the traditional Sharpe Index into the Sharpe Index modified with VaR method. Furthermore, we also applied Cornish-Fisher expansion into VaR calculation to get better results. In order to assess whether the VaR methods used to evaluate the funds performance are reliable or not, we also conducted the back test. The back test used to assess the accuracy of VaR model modified with Cornish-Fisher expansion approach is the back test using the Traffic Light method and Kupiec's method, and the result of back testing reveals that the VaR model modified with Cornish-Fisher expansion approach could generate accurate risk estimation to the majority of sample funds. After analyzing the data collected, this paper observes that the most outstanding fund from nineteen samples of Chinese money funds according to adjusted Sharpe Index with VaR method is the Da Mo Hua Xin Huo Bi fund.
中国货币基金绩效评价
本文采用三个指标对19只样本基金2007 - 2011年的业绩进行了评价。一般来说,夏普指数是评价中国基金业绩的最佳指标,但由于回报率平均值并非正态分布,夏普指数也存在一定的局限性。为了解决这一问题,我们将传统的夏普指数修正为用VaR法修正的夏普指数。此外,我们还将Cornish-Fisher展开应用到VaR计算中,以获得更好的结果。为了评估用于评价基金业绩的VaR方法是否可靠,我们还进行了回验。对采用Cornish-Fisher展开法修正的VaR模型进行准确性评价的反向检验是采用交通灯法和Kupiec法进行的反向检验,反向检验的结果表明,采用Cornish-Fisher展开法修正的VaR模型能够对大多数样本资金进行准确的风险估计。通过对收集到的数据进行分析,本文发现,根据VaR法调整后的夏普指数,从19个中国货币基金样本中,表现最突出的是大墨华新火笔基金。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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