全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

FORECASTING EXPORTS OF INDUSTRIAL GOODS FROM PUNJAB - AN APPLICATION OF UNIVARIATE ARIMA MODEL

Keywords: ARIMA , Forecasting , Box-Jenkin Method , Akaike Information Criteria , Schwarz Bayesian Information Criteria

Full-Text   Cite this paper   Add to My Lib

Abstract:

The present study is an attempt to build a Univariate time series model to forecast the exports of industrial goods from Punjab for ensuing decade till 2020. The study employs Box-Jenkin’s methodology of building ARIMA (Autoregressive Integrated Moving Average) model to achieve various objectives of study. Annual time series data for exports of industrial products have been culled from Directorate of Industries, Punjab for the period 1974-75 to 2007-08. Different selected models were tested by various diagnostic tests to ensure the accuracy of obtained results. The results revealed that during the days to come, exports of industrial products from Punjab are going to experience a sharp decline in growth as compared to past three decades in which growth maintained two digit level. In light of the forecasts, concerted efforts on the part of Government, entrepreneurs, industrialists, farmers and producers are the need of the hour to establish a healthy state economy and its export sector.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133