利用霍尔特温特斯指数平滑法预测尼日利亚流通货币

S. B. Atoyebi, Matthew Femi Olayiwola, James Olasunkanmi Oladapo, D. I. Oladapo
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引用次数: 0

摘要

尼日利亚是西非的一个国家。它是非洲人口最多的国家,大约有2.11亿人口。尼日利亚是一个联邦共和国,有三级政府:联邦、州和地方。尼日利亚是一个多元化的国家,有250多个民族。本研究旨在探讨使用霍尔特-温特斯指数平滑方法(加性霍尔特-温特斯模型和乘法霍尔特-温特斯方法)预测尼日利亚流通货币(CIC)。预测数据采集时间为1960年1月至2022年12月。研究的重点主要是在考虑相关平滑参数的情况下确定最优预测方法,并确定哪种预测方法(乘式Holt-Winters或加式Holt-Winters)最适合预测尼日利亚的CIC。此外,该研究还提供了有关尼日利亚CIC的预测见解。采用不同参数(α= 0.2, γ= 0.2, δ= 0.5;α= 0.4, γ= 0.3, δ= 0.1;α= 0.1, γ= 0.1, δ= 0.3)。在参数α= 0.4、γ= 0.3和δ= 0.1的条件下,可加性霍尔特-温特斯模型和乘法霍尔特-温特斯模型均是预测该变量的最佳模型。通过对精度指标的比较,本研究得出结论,乘法Holt-Winters方法在MAPE、MAD和MSD这三个指标上都优于加法Holt-Winters模型。乘式Holt-Winters模型的MAPE (5.97894E+00)显著低于加式Holt-Winters模型(9.55758E+02)。对尼日利亚的CIC使用乘法Holt-Winters方法进行预测,发现尼日利亚的流通货币持续增加,呈上升趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forecasting Currency in Circulation in Nigeria Using Holt-Winters Exponential Smoothing Method
Nigeria is a country located in West Africa. It is the most populous country in Africa, with a population of about 211 million. Nigeria is a federal republic with three tiers of government: federal, state, and local. Nigeria is a diverse country, with over 250 ethnic groups. This study aims to investigate the forecasting of currencies in circulation (CIC) in Nigeria using the Holt-Winters exponential smoothing method (Additive Holt–Winters Model and Multiplicative Holt–Winters Method). The forecasting data are collected from January 1960 to December 2022. The focus of the study is primarily to determine the optimal forecasting approach while considering the pertinent smoothing parameters and determine which of the forecasting method, either the multiplicative Holt–Winters or additive Holt–Winters is best in forecasting CIC in Nigeria. Furthermore, the study offers prognostic insights regarding CIC in Nigeria. Three experiments were conducted with different parameters (α= 0.2, γ= 0.2, δ= 0.5; α= 0.4, γ= 0.3, δ= 0.1; α= 0.1, γ= 0.1, δ= 0.3) that were randomly generated. The experiment with α= 0.4, γ= 0.3, and δ= 0.1 parameters was the best model for forecasting the variable using both the Additive Holt-Winters model and the Multiplicative Holt-Winters method. Based on the comparison of the accuracy measures, this study concluded that the multiplicative Holt-Winters method outperforms the additive Holt-Winters model in all three measures: MAPE, MAD, and MSD. The multiplicative Holt-Winters method has a significantly lower MAPE (5.97894E+00) compared to the additive Holt-Winters model (9.55758E+02). The forecast of CIC in Nigeria was conducted using the multiplicative Holt-Winters method, and it found that currency in circulation in Nigeria continues to increase as it shows the upper trend.
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