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Application of multistage stochastic programs solved in parallel in portfolio management

机译:并行求解的多阶段随机程序在投资组合管理中的应用

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We present a multistage model for allocation of financial resources to bond indices in different currencies. The model was tested on historical data of interest and exchange rates. We compare a two-stage and a three-stage stochastic programming model from a financial performance point of view.For solving two-stage and three-stage stochastic programs the interior point method (IPM) in the frame of the primal-dual path following formulation is used. An application of the Birge and Qi factorization to the IPM allows decomposition of large linear system to smaller blocks allowing thus to solve it in parallel.The parallel code is written in the Fortran programming language, using the message passing interface (MPI) for communication. Parallel and financial performance is illustrated on experiments executed on the IBM 1350 Linux cluster.
机译:我们提出了一种将财务资源分配给不同货币的债券指数的多阶段模型。该模型在利率和汇率的历史数据上进行了测试。我们从财务绩效的角度比较了两阶段和三阶段的随机规划模型。为解决两阶段和三阶段的随机规划,内部原点方法(IPM)遵循原始对偶路径的框架使用配方。 Birge和Qi因式分解在IPM上的应用允许将大型线性系统分解为较小的块,从而可以并行求解。并行代码使用消息传递接口(MPI)以Fortran编程语言编写,以进行通信。在IBM 1350 Linux集群上执行的实验说明了并行和财务性能。

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