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Younus, S. and Roy, A. (2016) Forecasting Inflation and Output in Bangladesh: Evidence from a VAR Model. Research Department and Monetary Policy Department, Bangladesh Bank, Dhaka, Bangladesh.

has been cited by the following article:

• TITLE: Modeling Inflation in Bangladesh

  AUTHORS: Mohammad Lutfor Rahman, Mynul Islam, Manik Roy

  KEYWORDS: ARIMA, Inflation, Forecasting, Model Validity, Model Diagnostics, Bangladesh

  JOURNAL NAME: Open Journal of Statistics, Vol.10 No.6, December 10, 2020

  ABSTRACT: Inflation has a substantial impact on an economy because it affects the financial value of money and stability in the economy. Government and non-govern- ment policies might be hindered due to the excessive rate of inflation. This paper aims to model and forecast inflation by the Box-Jenkins autoregressive integrated moving average (ARIMA) technique using annual time series data on inflation from 1987 to 2017 in Bangladesh. It is found that ARIMA (2, 1, 0) model is the best optimal to forecast inflation for a period of up to eight years. Graphical tools, as well as theoretical tests such as Ljung-Box, Shapiro-Wilk, and runs tests have been used in the model diagnostics.