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Impact of Stock Market, Trade and Bank on Economic Growth for Latin American Countries: An Econometrics Approach
Md. Shakhawat Hossain,
Md. Rokonuzzaman
Issue:
Volume 6, Issue 1, February 2018
Pages:
1-6
Received:
30 October 2017
Accepted:
23 November 2017
Published:
12 January 2018
Abstract: In this study, the impact of stock market, trade and credit by bank on economic growth for nine Latin American countries are examined. Fixed effect panel model with dummy variable approach is used in this research work. Significant Hausman test statistic conferred for fixed effect panel model to analyze this dataset. The inflation rate, import and credit by banking sector have negative impact on GDP growth whereas the rest of the variables, exports, stock market, board money, credit by private sector and interest rate have positive contribution to the GDP growth. Only interest and credit by banking sector are significant. The GDP for Chile is significantly but GDP for all other countries are not significantly different from that of Argentina. In this panel data analysis, 25% variation of GDP can be explained by the independent variables considered in the model.
Abstract: In this study, the impact of stock market, trade and credit by bank on economic growth for nine Latin American countries are examined. Fixed effect panel model with dummy variable approach is used in this research work. Significant Hausman test statistic conferred for fixed effect panel model to analyze this dataset. The inflation rate, import and ...
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Modeling Diabetes Risk Factors (A Case Study of Focus Medical Centre in Kiambu, Kenya 2016)
Thomas Mageto,
Efron Njuguna,
Dolleen Osundwa
Issue:
Volume 6, Issue 1, February 2018
Pages:
7-15
Received:
4 January 2018
Accepted:
15 January 2018
Published:
31 January 2018
Abstract: This study sought to model risk factors of diabetes (A case study of Focus Medical Center in Kiambu, Kenya) for the year 2016. We considered sample of size 181 patients and carried descriptive statistics, bivariate analysis, Chi-Square test and Hosmer and Lemeshow test. The independence test between response variable (diabetes) and predictor variables (age, obesity, alcohol, smoking and hypertension) was carried. The variables age, obesity, alcohol and hypertension were found to be statistically significant at α =0.05 level of significant. A multiple logistic regression model was fitted and the fitted regression model indicated that the predictor variables age, obesity and alcohol were statistically significant. The results of the odds ratios show that age, obesity and alcohol consumption are positively associated with diabetes. The fitted reduced multiple logistic regression model was subjected to an overall goodness-of-fit test and results indicate that there is no significant difference between the observed and predicted probability. Based on the results of this study, we recommend that special attention should be given to individuals advanced in age, consume alcohol or who are obese for screening as there is a high possibility of testing positive for diabetes for health care givers to monitor and manage the condition. Further, healthy lifestyles should be promoted among the general population and in particular, the diabetic patients to increase the chance of properly managing the condition. A further study ought to be conducted to assess treatment interventions of diabetes to ascertain the effectiveness and recommend the best medication for patients suffering from diabetes.
Abstract: This study sought to model risk factors of diabetes (A case study of Focus Medical Center in Kiambu, Kenya) for the year 2016. We considered sample of size 181 patients and carried descriptive statistics, bivariate analysis, Chi-Square test and Hosmer and Lemeshow test. The independence test between response variable (diabetes) and predictor variab...
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Pricing Options on Ghanaian Stocks Using Black-Scholes Model
Osei Antwi,
Francis Tabi Oduro
Issue:
Volume 6, Issue 1, February 2018
Pages:
16-27
Received:
13 September 2017
Accepted:
30 September 2017
Published:
1 February 2018
Abstract: We present a succinct new approach to derive the Black-Scholes partial differential equation and subsequently the Black-Scholes formula. We proceed to use the formula to price options using stocks listed on Ghana stock exchange as underlying assets. From one year historical stock prices we obtain volatilities of the listed stocks which are subsequently used to compute prices of three month European call option. The results indicate that it is possible to use the Black Scholes formula to price options on the stocks listed on exchange. However, it was realised that most call option prices tend to zero either due to very low volatilities or very low stock prices. On the other hand put options were found to give positive prices even for stocks with very low volatilities or low stock prices.
Abstract: We present a succinct new approach to derive the Black-Scholes partial differential equation and subsequently the Black-Scholes formula. We proceed to use the formula to price options using stocks listed on Ghana stock exchange as underlying assets. From one year historical stock prices we obtain volatilities of the listed stocks which are subseque...
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Domain Mean Estimation Using Double Sampling with Non-Linear Cost Function in the Presence of Non Response
Alila David Anekeya,
Ouma Christopher Onyango,
Nyongesa Kennedy
Issue:
Volume 6, Issue 1, February 2018
Pages:
28-42
Received:
17 December 2017
Accepted:
5 January 2018
Published:
15 February 2018
Abstract: This paper describes theoretical estimation of domains mean using double sampling with a non-linear cost function in the presence of non-response. The estimation of domain mean is proposed using auxiliary information in which the study and auxiliary variable suffers from non-response in the second phase sampling. The expression of the biases and mean square errors of the proposed estimators are obtained. The optimal stratum sample sizes for given set of non-linear cost function are developed.
Abstract: This paper describes theoretical estimation of domains mean using double sampling with a non-linear cost function in the presence of non-response. The estimation of domain mean is proposed using auxiliary information in which the study and auxiliary variable suffers from non-response in the second phase sampling. The expression of the biases and me...
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A Classes of Variational Inequality Problems Involving Multivalued Mappings
Nedal Hassan Elbadowi Eljaneid
Issue:
Volume 6, Issue 1, February 2018
Pages:
43-48
Received:
5 January 2018
Accepted:
17 January 2018
Published:
24 February 2018
Abstract: The main objective of the Variational inequality problem is to study some functional analytic tools, projection method and fixed point theorems and then exploiting these to study the existence of solutions and convergence analysis of iterative algorithms developed for some classes of Variational inequality problem. The main objective of this paper is to study the existence of solutions of some classes of Variational inequalities using fixed point theorems for multivalued and using Banach contraction theorem we prove the existence of a unique solution of multi value Variational inequality problem.
Abstract: The main objective of the Variational inequality problem is to study some functional analytic tools, projection method and fixed point theorems and then exploiting these to study the existence of solutions and convergence analysis of iterative algorithms developed for some classes of Variational inequality problem. The main objective of this paper ...
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