Read ebook Modelling and Forecasting Inflation Rates in Ghana : An Application of Sarima Models in DJV, MOBI, DOC
9783639324105 English 3639324102 Ghana faces a macroeconomic problem of inflation for a long period of time. The problem in somehow slows the economic growth in this country. As we all know, inflation is one of the major economic challenges facing most countries in the world especially those in African including Ghana. Therefore, forecasting inflation rates in Ghana becomes very important for its government to design economic strategies or effective monetary policies to combat any unexpected high inflation in this country. This paper studies SARIMA model to forecast inflation rates in Ghana. Using monthly inflation data from July 1991 to December 2009, we find that ARIMA (1,1,1)(0,0,1)12 can represent the data behavior of inflation rate in Ghana well. Based on the selected model, we forecast seven (7) months inflation rates of Ghana outside the sample period (i.e. from January 2010 to July 2010). The observed inflation rate from January to April which was published by Ghana Statistical Service Department fall within the 95% confidence interval obtained from the designed model. The forecasted results show a decreasing pattern and a turning point of Ghana inflation in the month of July., Technologies like "Home Automation Systems" are still under considerations and have not been developed up to the level of ultimate maturity. Targeting the challenges of the proposition of a home automation system capable of controlling house's electric appliances and providing efficient security system, a thorough research has been conducted in fields of System Automation, Hardware Engineering, Software Engineering, Human Machine Interaction, Mobile Programming, Produce Line Architectures, Software Testing and Data Management Systems. Taking help from reviewed research and using our personal research and development experiences, we have proposed an approach i.e. Smart House. This book discusses in detail the way to achieve the set goals of this research along with the detailed presentation of system requirements, proposed approach, hardware and software designs, implemented prototype, testing, deployment, usage, benefits and limitations. The presented research and development has been performed as the part of author's bachelor project submitted in Fall 2002 at Punjab Institute of Computer Science, Faculty of Information Technology, University of Central Punjab, Pakistan.
9783639324105 English 3639324102 Ghana faces a macroeconomic problem of inflation for a long period of time. The problem in somehow slows the economic growth in this country. As we all know, inflation is one of the major economic challenges facing most countries in the world especially those in African including Ghana. Therefore, forecasting inflation rates in Ghana becomes very important for its government to design economic strategies or effective monetary policies to combat any unexpected high inflation in this country. This paper studies SARIMA model to forecast inflation rates in Ghana. Using monthly inflation data from July 1991 to December 2009, we find that ARIMA (1,1,1)(0,0,1)12 can represent the data behavior of inflation rate in Ghana well. Based on the selected model, we forecast seven (7) months inflation rates of Ghana outside the sample period (i.e. from January 2010 to July 2010). The observed inflation rate from January to April which was published by Ghana Statistical Service Department fall within the 95% confidence interval obtained from the designed model. The forecasted results show a decreasing pattern and a turning point of Ghana inflation in the month of July., Technologies like "Home Automation Systems" are still under considerations and have not been developed up to the level of ultimate maturity. Targeting the challenges of the proposition of a home automation system capable of controlling house's electric appliances and providing efficient security system, a thorough research has been conducted in fields of System Automation, Hardware Engineering, Software Engineering, Human Machine Interaction, Mobile Programming, Produce Line Architectures, Software Testing and Data Management Systems. Taking help from reviewed research and using our personal research and development experiences, we have proposed an approach i.e. Smart House. This book discusses in detail the way to achieve the set goals of this research along with the detailed presentation of system requirements, proposed approach, hardware and software designs, implemented prototype, testing, deployment, usage, benefits and limitations. The presented research and development has been performed as the part of author's bachelor project submitted in Fall 2002 at Punjab Institute of Computer Science, Faculty of Information Technology, University of Central Punjab, Pakistan.