预测外汇汇率:FbProphet的使用

Fanoon Raheem, Nihla Iqbal
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引用次数: 3

摘要

在当今世界,外汇汇率预测被认为是至关重要的。汇率对一个国家的经济增长起着至关重要的作用。一个国家的中央银行拥有管理汇率及其政策的权力。本研究使用FbProphet模型预测美元对斯里兰卡卢比的汇率;这是Facebook开发并引入的时间序列预测模型。获得了美元/斯里兰卡卢比的每日汇率值,并预测了从2020年11月开始的另外24个月的汇率值。计算R平方值验证模型的拟合性,其值为0.98,表明预测模型与所使用的数据集拟合得很好。进一步,计算均方误差和平均绝对误差来衡量模型的性能。这些度量测量表明,该模型是合适的数据集,已选择为研究研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forecasting foreign exchange rate: Use of FbProphet
Foreign exchange rate prediction can be considered crucial in today's world. The exchange rate of a country plays a vital role in its economic growth. The Central Bank of a country holds the authority in managing the exchange rate and its policies. The study predicts the foreign exchange rate of American Dollar to Sri Lankan Rupee using FbProphet model; a time-series forecasting model developed and introduced by Facebook. The daily exchange rate values for USD/LKR were obtained and the values are predicted for another twenty-four months starting from November 2020. R Squared value is calculated to verify the fitting of the model and the value is 0.98, which indicates that the model for prediction very well fits for the data set used. And further, Mean Squared Error and Mean Absolute Error are calculated to measure the performance of the model. These metric measurements show that the model is appropriate for the data set which has been selected for the research study.
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