Forecasting of Agricultural Loan in Bangladesh
Md. Mosfiqur Rahman1, Masuma Parvin2, Sayedul Anam3, M.A Rubi4
1Md. Mosfiqur Rahman, Senior Lecturer, Department of Mathematics, General Educational Development, Daffodil International University, Bangladesh.
2Masuma Parvin, Senior Lecturer, Department of Mathematics, General Educational Development, Daffodil International University, Bangladesh
3Sayedul Anam, Assistant Professor, Department of Mathematics, General Educational Development, Daffodil International University, Bangladesh.
4M. A Rubi, Lecturer Statistics, Department of General Educational Development, Daffodil International University, Bangladesh.
Manuscript received on 20 September 2019 | Revised Manuscript received on 06 October 2019 | Manuscript Published on 11 October 2019 | PP: 589-594 | Volume-8 Issue-2S10 September 2019 | Retrieval Number: B11060982S1019/2019©BEIESP | DOI: 10.35940/ijrte.B1106.0982S1019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The agriculture sector is important to meet up the challenges of twentieth century in Bangladesh. It has huge contribution to our life. This sector secures the food security, export earnings and poverty reduction (Agricultural and MSME finance’2017, BB). In this paper, we forecast the agricultural loan disbursement, overdue and recovery in Bangladesh. Moreover, we have discussed the flaw of loan disbursement, recovery and overdue and that of the way out.
Keywords: Time Series, ARIMA, ACF, PACF, ADF, Stationary, Autoregressive, Moving Average.
Scope of the Article: Cryptography and Applied Mathematics