Publisher: Redfame Publishing   (Total: 7 journals)   [Sort by number of followers]

Showing 1 - 7 of 7 Journals sorted alphabetically
Applied Economics and Finance     Open Access   (Followers: 11)
Applied Finance and Accounting     Open Access   (Followers: 9)
Business and Management Studies     Open Access   (Followers: 13)
Intl. J. of Social Science Studies     Open Access   (Followers: 14)
J. of Education and Training Studies     Open Access   (Followers: 4)
Studies in Engineering and Technology     Open Access  
Studies in Media and Communication     Open Access   (Followers: 15, SJR: 0.401, CiteScore: 1)
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Applied Economics and Finance
Number of Followers: 11  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2332-7294 - ISSN (Online) 2332-7308
Published by Redfame Publishing Homepage  [7 journals]
  • How Do Voters Decide in the 2012 and 2016 Presidential Elections in Ghana'
           The Implications for Future Elections

    • Authors: Gbensuglo Alidu Bukari; Justice Yaw Adua, Mohammed Alhassan
      Abstract: This paper analysed the determinants and citizens’ choice of a presidential candidate in the Ghanaian 2012 and 2016 elections. The analysis utilised survey data obtained from respondents in the study areas. It examined perspectives of the individual voters on various issues matters pertaining to elections as well as their sentiments regarding personal and communal socio-economic outcomes. The findings revealed that voting for a presidential candidate in an election is influenced by individual voter access to income, education level, employment status, and development policy in the 2012 and 2016 presidential elections. The results also revealed that voters are influence by other factors such as the candidate's capacity to enhance and advance the national economy, political party affiliation, candidate orientation and likability. The findings of the analysis suggest that political parties and presidential candidates in an election in Ghana should give careful consideration to the elements and issues identified. Based on the findings, the we recommended that presidential candidates/or political parties should prioritise the issues identified in their campaign strategies and policy agendas.
      PubDate: Wed, 29 Nov 2023 00:00:00 -080
  • Determinants of Contraceptive Discontinuation among Homeless Women in

    • Authors: Lydia Cheruto Pkaremba; Martine Odhiambo Oleche, Elizabeth Owiti
      Abstract: This paper examines factors affecting contraceptive discontinuity among homeless women in Kenya, using data from a sample of 384 homeless women. The findings were estimated using logistic regression. The estimated results from regression analysis show that living with a partner, drug use, health facility delivery, and knowledge of female sterilization and previously emigrating from an urban area, strongly encourage contraceptive discontinuation. The estimated results further show that being assisted by a midwife during delivery, earning above a dollar a day, and going through neonatal or pregnancy loss reduces incidences of contraceptive discontinuation. The study concludes with implications for policies that will encourage consistent use of contraceptives. These policies include the establishment of family planning programs to curb drug abuse and setting up family planning programs to educate women on the importance of initiating a form of contraception after incidences of abortions, stillbirths, or miscarriages. Other policy recommendations include the establishment of drug rehabilitation centers for women struggling with drug abuse and the provision of alternative sources of income. The government is also advised to train more midwives who can offer home based care for homeless women who cannot visit health centers.
      PubDate: Mon, 20 Nov 2023 00:00:00 -080
  • Measuring the Relevance of Factors on Cross-Sectional Returns with
           Decision Trees

    • Authors: Paul Felix Reiter
      Abstract: This study is concerned with new ways to identify and analyse the factors on cross-sectional returns in financial markets with respect to their time-variability. Therefore, classification and regression trees and conventional regression models are applied. This study uses data on the S&P 500 from 1999 to 2019. Empirical findings show high time variability of factors on cross-sectional returns. The high level of time-variability is not dependent on the applied model. It is also shown that CARTs and conventional regression models have low power when it comes to identifying the factors on cross-sectional returns or predicting the returns themself.
      PubDate: Mon, 20 Nov 2023 00:00:00 -080
  • Development of a Bankruptcy Prediction Model for the Banking Sector in
           Mozambique Using Linear Discriminant Analysis

    • Authors: Reis Castigo Intupo
      Abstract: In Mozambique there is no evidence of a bankruptcy prediction model developed in the national economic context, yet, back in 2016, the national banking sector suffered a financial shock that resulted in Mozambique’s Central Bank intervention in two banks (Moza Banco, S.A. and Nosso Banco, S.A.). This was a result of the deterioration of their financial and prudential indicators, although Mozambique had been adhering to the Basel Accords since 1994. The Basel Accords provides recommendations on banking sector supervision worldwide with the aim to enhance financial system stability. While it doesn’t predict bankruptcy, the prediction model can be used as an auxiliary tool to manage that risk, but this has to be built in the national economic context. This paper develops for Mozambique’s banking sector a bankruptcy prediction model in the Mozambican context through the linear discriminant analyses method, following two assumptions: (i) composition of the sample and (ii) robustness of the financial prediction indicators (the capital structure, profitability asset concentration and asset quality) from 2012 to 2020. The developed model attained an accuracy level of 84% one year before Central Bank intervention (2015) with the entire population of 19 banks of the sector, which makes it recommendable as a risk management tool for this sector.
      PubDate: Mon, 20 Nov 2023 00:00:00 -080
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Heriot-Watt University
Edinburgh, EH14 4AS, UK
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