文章基本信息

标题：Rationality Analysis for ARIMA Forecasts
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作者：Saidatul Akmal ; Madiha Riaz ; M.Waqas Ameer 等
期刊名称：Research Journal of Finance and Accounting
印刷版ISSN：2222-1697
出版年度：2012
卷号：3
期号：5
页码：168-177
语种：English
出版社：The International Institute for Science, Technology and Education (IISTE)
摘要：This study is made to evaluate forecast efficiency by applying Rationality criterion for food price inflation, consumer price index general, GDP per capita and Money supply forecasts of Pakistan. It is therefore designed to analyze forecasting efficiency by using thirty three years annual data covering the period 1975 to 2008. We obtained forecasts from ARIMA(Auto Regressive Integrated Moving Average) model specification and select the most accurate forecast on the basis of well known forecasting accuracy techniques that are Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE) and Theil’s Inequality Coefficient (TIC). Later on these forecasts are evaluated on the basis of rationality criterion. We found food price forecast are consistent, efficient and fulfilling the criteria given of weak and strong rationality, therefore they are reliable and correct to be used in policymaking and management decision where as other forecasts obtained are not passing all the criteria given except money supply.
关键词：Food price Forecasts; Weak rationality; strong rationality; ARIMA forecasts