Forecasting Bangladesh's Inflation through Econometric Models

N. Islam
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引用次数: 5

Abstract

This research tries to sketch the concrete steps that help carry out to use ARIMA time series models for forecasting Bangladesh’s inflation. The focus, in this paper, is short-term basis annual inflation forecasting. For this purpose, different ARIMA models are used and the candid model is proposed. Based on the diagnostic and evaluation criteria, the most accurate model is selected. The order of the best ARIMA model was found to be ARIMA (1, 0, 0) to forecast the future inflation for a period up to five years. The predicted inflation rate is 4.40 in 2016 and in the consecutive years, it will rise slightly. The findings of the paper will give us a short-term view of inflation in Bangladesh and support in implementing policies to maintain stable inflation.
通过计量经济模型预测孟加拉国的通货膨胀
本研究试图勾勒出有助于使用ARIMA时间序列模型预测孟加拉国通货膨胀的具体步骤。本文的重点是短期基础的年度通货膨胀预测。为此,采用了不同的ARIMA模型,并提出了坦诚模型。根据诊断和评价标准,选择最准确的模型。发现ARIMA模型的最佳顺序为ARIMA(1,0,0),可以预测未来五年的通货膨胀。预计2016年通货膨胀率为4.40,未来几年将略有上升。本文的研究结果将使我们对孟加拉国的通货膨胀有一个短期的看法,并为实施维持稳定通货膨胀的政策提供支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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