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

机译:预测大量应计应付款项以赎回开放式基金

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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:提出了开放式基金大量赎回(GAR)和大量赎回(LAR)的预测模型。根据实际情况,推导了具有正态分布和T分布的大额赎回概率计算公式。我们还提供了有关大额赎回(LAR)和大量赎回(GAR)的概率与赎回均值和方差以及购买均值之间的关系的分析。结果表明,随着赎回波动的增加,大额赎回的概率会增加,而随着基金平均购买量的增加,大额赎回的概率会减小。在此模型的基础上,结合中国当前的市场环境,提出了风险管理的相关方法和对基金公司规避流动性风险的建议,以应对开放式基金的流动性风险。

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