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VaR and CVaR Estimate Based on Distributed Parallel Algorithm

机译:基于分布式并行算法的VAR和CVAR估计

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摘要

CVaR has more advantages, than the VaR as portfolio risk measurement tool, but with the calculation of VaR, the Monte Carlo simulation method of the CVaR is difficult, and the cost is high. The establishment of the system of distributed parallel algorithm can reduce costs and speed up the calculation, which is conducive to the promotion of the CVaR Monte Carlo algorithm.
机译:CVAR具有比VAR作为投资组合风险测量工具更多的优点,但随着VAR的计算,CVAR的蒙特卡罗模拟方法很困难,成本高。分布式并行算法系统的建立可以降低成本并加快计算,这有利于促进CVAR Monte Carlo算法。

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