ABSTRACT There are several literature on the study of the relationship between macroeconomic variables and stock prices. These studies have focused largely on the developed capital market and carried out in the early 1970s. From literature reviewed,there is no study that have modelled the relationship between stock price and, both macroeconomic and micoeconomic variables in the order to explain their combined effect on stock market returns using Autoregressive Distributed Lag (ARDL) model at ...
ABSTRACT The study is based on the stochastic monitoring of Macroeconomic variables in Ghana. The macroeconomic variables that were considered in the study included Inflation rate and the Gross Domestic Product (GDP). The data covered the period from 2009 to 2017 for the monthly inflation rate and 1961 to 2017 for the GDP. All analyses were done using the R software. The Augmented Dickey-Fuller test was used to test the data and the results showed that all the data were stationary after the ...
ABSTRACT In attempt to model tuberculosis epidemic in the Ashanti Region of Ghana, SIR and SEIR deterministic and stochastic epidemiological models with demographic characteristics were employed. Both models showed success in modeling the infection dynamics of tuberculosis in the region. These models equilibrium points were established and their stability investigated through the Routh - Hurwitz stability criterion. The models predicted tuberculosis dying out in the entire region (Disease fr...
ABSTRACT The word is not interested in the storm you encountered but did you bring the ship in? It's is not the time a man spends in planning, it's the faith and confidence he put in his planning that really counts. Investigation has revealed that the economic base of Nigeria base on the crude oil. Hence there is every need to take a critical look into the production pattern of this product as to ascertain the trend direction to enable us understand the progressive or regressive direction of ...
AB STRACT This research work describes a study that used measles disease data collected through Knoema health surveillance system to evaluate univariate time series method namely; autoregressive integrated moving average (ARIMA). The data obtained from 1980 to 2016 were used as modeling data and forecasting samples, respectively. The performances were evaluated based on three metrics: mean absolute error (MAE), mean absolute percentage error (MAPE), and mean square error (MSE). A low normaliz...
ABSTRACT This research is about time series analysis and number of babies at birth in Abuja, between 2000-2017 using a monthly data. The box-Jenkin autoregressive integrated moving average (ARIMA) model was estimated and the best fitted model is ARIMA 1,1,1 with Bayesian information criteria (BIC) of 7.580, R2 of 0.402 and with P-values of the perimeters of the model less than 0. 05. The model was further validated with L-Jung Box text with residual been white noise. The mode was use to obtai...
ABSTRACT The focus of the research is to model some risk factors called covariates that influence the blood sugar level of diabetes patients using Generalized Linear Mixed Models (GLMM) and Generalized Estimating Equations (GEE). Both primary and secondary data was obtained from the Diabetes Centre of Maamobi Polyclinic in Accra. Data was obtained on 155 patients for four consecutive times they visit the hospital for review. Analysis of the data was done using SPSS version 20 and R. The find...
ABSTRACT Most experimental situations call for standard designs that can be constructed with many statistical software packages. In some situations, however, standard designs are not appropriate or practicable. Computer-aided designs are experimental designs that are generated based on a particular optimality criterion and are generally optimal only for a specified model. In this work designs are generated for non-standard multifactor experiment using D-optimality criterion. The experiment in...
ABSTRACT Several non-linear models have been proposed by various authors for the analysis of growth data. I n this thesis, three models, viz, Gompertz, Exponential and Polynomial models were used to analyze some forestry data, namely, a tree specie known as Tectona Grandis, collected in the Guinea savanna zone of Nigeria. The three models were compared and using the criteria of low mean square error and high coefficient of determination, it was found that the Gompertz model fits the data best...
ABSTRACT This research work is aimed al studying the impact of health sector reforms on life expectancy in Nigeria using a secondary source of data ranging.from 1980 to 2014 obtainedfi-om the Central Bank Statistical Bulletin and World Bank indicator. Ordinwy least square of multiple regression models was used to establish the relationship betvveen dependent variable and independent variables. The data was analyzed using Eviews 9. 0. The finding revealed that out of the three unit root test c...
ABSTRACT This study is concerned with the female enrolment at the junior secondary school levels in Nigeria. In writing th is project, the approach has been to determine the trend in female enrolment at the junior secondary school level by the geo - political zones. Th i s research work is organized into five chapters. The first chapter deals with the introduct ion of the study. In this chapter, the background informat ion is provided, object ive of the study is outlined and the significance ...
ABSTRACT The recently developed Adjusted Ridge Estimator (ARE) for handling multicollinearity problem in Linear Regression model does not require the use of the biasing or ridge parameter, K, unlike the Ridge Regression Estimators (RRE) rather i t requires a diagonalization of the correlation vector of the explanatory variables and the dependent variable being raised to a power of half In this research, the effects of other powers on the Adjusted Ridge Regression Estimator were investiga...
ABSTRACT Low birth weight and low Apgar score are major determinants of morbidity, mortality and disability in infancy and childhood. These are very important health indicators, but little is known about their causes among HIV-infected mothers in Ghana. They are also risk factors for long-term impact on health outcomes in adult life. Quantitatively, birth weight and Apgar score of an infant summarizes the morbidity conditions (LBW and LAS), with Apgar score measuring the extent of asphyxia. T...
ABSTRACT This study used the VAR models to model the Growth Domestics Products (GDP) of Ghana with other two selected macroeconomic such as inflation and real exchange rate for the period of 1980 to 2013. Data were taken from the World Bank’s World Development Indicators and Bank of Ghana. This study employed co-integration test and vector error correction models (VECM) to examine both long-run and short-run dynamic relationships between the GDP and the macroeconomic variables. The time ser...
ABSTRACT Concerns about the dangers of Cardiovascular Diseases (CVD) have been a major problem all over the world. Hypertension, which is the commonest CVD is gradually usurping the minds of public health workers globally. The disease is the commonest cause of morbidity and mortality all over the world. It is also the commonest cause of heart disease. In this study, we employ the Vector Autoregressive (VAR) modeling approach to model and to forecast hypertension and heart disease cases in the...