Ghana has been challenged by high inflation rates for a long period of time. The p... more Ghana has been challenged by high inflation rates for a long period of time. The phenomenon in many cases leaves in its trail adverse economic consequences. Therefore, forecasting inflation rates in Ghana becomes very important for government and central bank to design fiscal measures or effective monetary policies to combat any unexpected high inflation in this country. For firms and households, knowledge about the rate of inflation in future enables them to factor it into their planning so as to guard against unpleasant ramifications. This paper employs Autoregressive Integrated Moving Average (ARIMA) technique to model inflation rates in Volta region of Ghana. Using monthly inflation rates data from January 2009 to September 2015, we find that ARIMA (2,1,2) can be used to study the behavior of the data in the Volta region of Ghana regarding inflation rates. Based on the selected model, we forecasted six (6) months inflation rates for the region outside the sample period (i.e. from October 2015 to March 2016). From the out-sample forecast, we surmise that Volta region is likely to experience continuous double digit inflation rates. Hence, policy makers should reevaluate their policies in order to determine other factors that contribute to the high inflation rates.
This paper examined the modeling of ordinance marriage in Accra Metropolis using SARIMA Models. A... more This paper examined the modeling of ordinance marriage in Accra Metropolis using SARIMA Models. Among the most effective approaches for analyzing time series data is the method propounded by Box and Jenkins, the Autoregressive Integrated Moving Average (ARIMA). In this paper, we employed Box-Jenkins methodology to build ARIMA model for registered marriage incidence for the period January 2001 to April 2014 with a total of 160 data points. Seasonal Autoregressive Integrated Moving Average (SARIMA) models were developed on registered marriage incidence data. ARIMA(0,1,1)×(1,0,1)12 was selected to be the best model. An ARCH LM test and Ljung-Box test on the residuals of the model revealed that the residuals are free from heteroscedasticity and serial correlation respectively. Hence, it is adequate for forecasting the registered marriages in Accra, Ghana.
This book is intended to encourage an understanding and appreciation of Mathematics at the Techni... more This book is intended to encourage an understanding and appreciation of Mathematics at the Technical and Vocational Institutes in Ghana. As a trainer, I have discovered the shortcoming and weaknesses of trainees’ in handling of NVTI Foundation and Advance level examination questions. Subsequently, to guide trainees’ in answering typical questions in Mathematics as set out in NVTI examinations, the writer has paid particular attention to those areas of the syllabus, which many trainees’ find difficult. A prominent feature of this book is the inclusion of skills practice for self-assessment. Each practice question is carefully selected to illustrate the application of a particular mathematical technical and or interpretation of results.
Ghana has been challenged by high inflation rates for a long period of time. The p... more Ghana has been challenged by high inflation rates for a long period of time. The phenomenon in many cases leaves in its trail adverse economic consequences. Therefore, forecasting inflation rates in Ghana becomes very important for government and central bank to design fiscal measures or effective monetary policies to combat any unexpected high inflation in this country. For firms and households, knowledge about the rate of inflation in future enables them to factor it into their planning so as to guard against unpleasant ramifications. This paper employs Autoregressive Integrated Moving Average (ARIMA) technique to model inflation rates in Volta region of Ghana. Using monthly inflation rates data from January 2009 to September 2015, we find that ARIMA (2,1,2) can be used to study the behavior of the data in the Volta region of Ghana regarding inflation rates. Based on the selected model, we forecasted six (6) months inflation rates for the region outside the sample period (i.e. from October 2015 to March 2016). From the out-sample forecast, we surmise that Volta region is likely to experience continuous double digit inflation rates. Hence, policy makers should reevaluate their policies in order to determine other factors that contribute to the high inflation rates.
This paper examined the modeling of ordinance marriage in Accra Metropolis using SARIMA Models. A... more This paper examined the modeling of ordinance marriage in Accra Metropolis using SARIMA Models. Among the most effective approaches for analyzing time series data is the method propounded by Box and Jenkins, the Autoregressive Integrated Moving Average (ARIMA). In this paper, we employed Box-Jenkins methodology to build ARIMA model for registered marriage incidence for the period January 2001 to April 2014 with a total of 160 data points. Seasonal Autoregressive Integrated Moving Average (SARIMA) models were developed on registered marriage incidence data. ARIMA(0,1,1)×(1,0,1)12 was selected to be the best model. An ARCH LM test and Ljung-Box test on the residuals of the model revealed that the residuals are free from heteroscedasticity and serial correlation respectively. Hence, it is adequate for forecasting the registered marriages in Accra, Ghana.
This book is intended to encourage an understanding and appreciation of Mathematics at the Techni... more This book is intended to encourage an understanding and appreciation of Mathematics at the Technical and Vocational Institutes in Ghana. As a trainer, I have discovered the shortcoming and weaknesses of trainees’ in handling of NVTI Foundation and Advance level examination questions. Subsequently, to guide trainees’ in answering typical questions in Mathematics as set out in NVTI examinations, the writer has paid particular attention to those areas of the syllabus, which many trainees’ find difficult. A prominent feature of this book is the inclusion of skills practice for self-assessment. Each practice question is carefully selected to illustrate the application of a particular mathematical technical and or interpretation of results.
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out-sample forecast, we surmise that Volta region is likely to experience continuous double digit inflation rates. Hence, policy makers should reevaluate their policies in order to determine other factors that contribute to the high inflation rates.
Teaching Documents by francis okyere
A prominent feature of this book is the inclusion of skills practice for self-assessment. Each practice question is carefully selected to illustrate the application of a particular mathematical technical and or interpretation of results.
out-sample forecast, we surmise that Volta region is likely to experience continuous double digit inflation rates. Hence, policy makers should reevaluate their policies in order to determine other factors that contribute to the high inflation rates.
A prominent feature of this book is the inclusion of skills practice for self-assessment. Each practice question is carefully selected to illustrate the application of a particular mathematical technical and or interpretation of results.