Forecasting Lending Interest Rate and Deposit Interest Rate of Bangladesh Using Autoregressive Integrated Moving Average (ARIMA) Model
The purpose of this paper is to predict the lending interest rate and deposit interest rate of Bangladesh using the Autoregressive Integrated Moving Average (ARIMA) model by Box Jenkins. It has been found that ARIMA (1, 0, 1) model is appropriate in predicting both the lending and deposit interest...
Main Author: | Khondokar Jilhajj |
---|---|
Format: | Article |
Language: | English |
Published: |
EconJournals
2023-05-01
|
Series: | International Journal of Economics and Financial Issues |
Subjects: | |
Online Access: | https://econjournals.com/index.php/ijefi/article/view/14321 |
Similar Items
-
Annual forecasting of inflation rate in Iran: Autoregressive integrated moving average modeling approach
by: Samrad Jafarian‐Namin, et al.
Published: (2021-04-01) -
Forecasting the Romanian inflation rate: An Autoregressive Integrated Moving-Average (ARIMA) approach
by: Rareș-Petru MIHALACHE, et al.
Published: (2023-03-01) -
The impact of financial and social performance of microfinance institutions on lending interest rate: A cross-country evidence
by: Afsheen Abrar
Published: (2019-01-01) -
Predicting the unemployment rate using autoregressive integrated moving average
by: Andrian Dolfriandra Huruta
Published: (2024-12-01) -
ARIMA forecast of Nigerian inflation rates with Covid-19 pandemic event in focus
by: Emmanuel Akingbola ODUNTAN, et al.
Published: (2023-12-01)