Dynamic model for price of wheat in Bangladesh
Wheat is the second staple food of Bangladesh. In this paper we constructed a dynamic model for wheat price. Basically we constructed a single equation autoregressive integrated moving average (ARIMA) model of the price (quarterly wholesale wheat price). Standard ARIMA analysis rests on the simplify...
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iium-13482011-11-24T00:43:18Z http://irep.iium.edu.my/1348/ Dynamic model for price of wheat in Bangladesh Rabbani, Golam Haque, A. K. M. Ahasanul Khalek, Abdul HF5001 Business. Business Administration Wheat is the second staple food of Bangladesh. In this paper we constructed a dynamic model for wheat price. Basically we constructed a single equation autoregressive integrated moving average (ARIMA) model of the price (quarterly wholesale wheat price). Standard ARIMA analysis rests on the simplifying assumption that the time series is stationary. So, at first stationary of the series is checked. An ARIMA (1,1,0) (2,1,1)4 model is constructed based on the autocorrelation and partial autocorrelation functions. Finally, forecasts are made based on the model developed. EuroJournals Publishing, Inc. 2009 Article PeerReviewed application/pdf en http://irep.iium.edu.my/1348/1/Dynamic_model_for_price_of_wheat_in_Bangladesh.pdf Rabbani, Golam and Haque, A. K. M. Ahasanul and Khalek, Abdul (2009) Dynamic model for price of wheat in Bangladesh. European Journal of Social Sciences, 10 (2). pp. 254-263. ISSN 1450-2267 http://www.eurojournals.com/ejss_10_2.htm |
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English |
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HF5001 Business. Business Administration |
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HF5001 Business. Business Administration Rabbani, Golam Haque, A. K. M. Ahasanul Khalek, Abdul Dynamic model for price of wheat in Bangladesh |
description |
Wheat is the second staple food of Bangladesh. In this paper we constructed a dynamic model for wheat price. Basically we constructed a single equation autoregressive integrated moving average (ARIMA) model of the price (quarterly wholesale wheat price). Standard ARIMA analysis rests on the simplifying assumption that the time series is stationary. So, at first stationary of the series is checked. An ARIMA (1,1,0) (2,1,1)4 model is constructed based on the autocorrelation and partial autocorrelation functions. Finally, forecasts are made based on the model developed. |
format |
Article |
author |
Rabbani, Golam Haque, A. K. M. Ahasanul Khalek, Abdul |
author_facet |
Rabbani, Golam Haque, A. K. M. Ahasanul Khalek, Abdul |
author_sort |
Rabbani, Golam |
title |
Dynamic model for price of wheat in Bangladesh |
title_short |
Dynamic model for price of wheat in Bangladesh |
title_full |
Dynamic model for price of wheat in Bangladesh |
title_fullStr |
Dynamic model for price of wheat in Bangladesh |
title_full_unstemmed |
Dynamic model for price of wheat in Bangladesh |
title_sort |
dynamic model for price of wheat in bangladesh |
publisher |
EuroJournals Publishing, Inc. |
publishDate |
2009 |
url |
http://irep.iium.edu.my/1348/ http://irep.iium.edu.my/1348/ http://irep.iium.edu.my/1348/1/Dynamic_model_for_price_of_wheat_in_Bangladesh.pdf |
first_indexed |
2023-09-18T20:08:37Z |
last_indexed |
2023-09-18T20:08:37Z |
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1777407327362613248 |