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Predicting Large Amounts of Accrued Payables to Redeem Open-End Funds

机译:预测大量累计应予以赎回开放式资金

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摘要

The predicting model of great amounts of redemption (GAR) and large amounts of redemption (LAR) for open- end funds are proposed. According to real situation, the probability calculation formulas of large amounts of redemption (LAR) are deduced with normal distribution and T distribution. We also provide the analysis about relations on probability of large amounts of redemption (LAR) and great amounts of redemption (GAR) to the mean and variance of redemption and mean of purchasing. It is shown that the probability of large amounts redemption would increase with the fluctuation increasing of redemption and the probability of large amounts redemption occurring would decrease with the average amount of purchase in the fund increasing. On the basis of the model, the paper puts forward the relevant method of risk management and some relevant advice for Fund Company avoiding liquidity risk combining the china current market environment, which manages open-end fund liquidity risk faced with.
机译:提出了预测救赎(GAR)和大量赎回(LAR)用于开放式资金的预测模型。根据真实情况,用正常分布和T分布推导出大量救赎(LAR)的概率计算公式。我们还提供了关于大量赎回概率(LAR)和大量赎回(GAR)的关系的分析,以及赎回的平均值和差异以及采购的依据。结果表明,大量赎回的可能性随着救赎的波动增加而增加,大量赎回的可能性会随着基金增加的平均购买量而减少。根据该模式的基础,本文提出了有关风险管理的相关方法和基金公司的一些相关建议,避免流动资金风险结合中国当前的市场环境,该风险管理开放式基金流动资金风险面临。

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