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首页> 外文期刊>Asian Journal of Information Technology >Optimal Multi-Foreign-Currency Holding Positions by Genetic Algorithm
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Optimal Multi-Foreign-Currency Holding Positions by Genetic Algorithm

机译:遗传算法的最佳多币种持仓

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摘要

A foreign exchange bank may hold multi-foreign-currency to provide the customers with various foreign exchange services. When the short position occurs and deviates to the optimal holding position, the local trading bank will take a Non-Instantaneous Receipt (NIR) to revert the optimal holding position. The focus of this study is to use the ARMA-GARCH model and Fuzzy Non-Linear Programming (FNLP) to build a multi-foreign-currency fuzzy NIR-EOQ model. Finally, this study uses genetic algorithm to solve the optimal holding position problem. The result of this study, can provide the decision maker of local trading bank as a reference for multi-foreign-currency positions controlling.
机译:外汇银行可以持有多种外币,为客户提供各种外汇服务。当出现空头且偏离最佳持仓时,本地贸易银行将采用非即时收据(NIR)恢复最佳持仓。本研究的重点是使用ARMA-GARCH模型和模糊非线性规划(FNLP)来构建多外币模糊NIR-EOQ模型。最后,本文采用遗传算法求解最优持仓问题。研究结果可为当地贸易银行的决策者提供参考,为多外汇头寸控制提供参考。

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