Fuzzy structural risk of default for banks in Southern Africa

Article Properties
  • Language
    English
  • Publication Date
    2022/11/14
  • Indian UGC (journal)
  • Refrences
    74
  • Citations
    2
  • Ephraim Matanda Faculty of Business Sciences, Midlands State University, Gweru, Zimbabwe
  • Eriyoti Chikodza Department of Mathematics and Computer Science, Great Zimbabwe University, Masvingo, Zimbabwe
  • Farai Kwenda Department of Finance, University of Swaziland, Manzini, Eswatini
Cite
Matanda, Ephraim, et al. “Fuzzy Structural Risk of Default for Banks in Southern Africa”. Cogent Economics &Amp; Finance, vol. 10, no. 1, 2022, https://doi.org/10.1080/23322039.2022.2141884.
Matanda, E., Chikodza, E., & Kwenda, F. (2022). Fuzzy structural risk of default for banks in Southern Africa. Cogent Economics &Amp; Finance, 10(1). https://doi.org/10.1080/23322039.2022.2141884
Matanda, Ephraim, Eriyoti Chikodza, and Farai Kwenda. “Fuzzy Structural Risk of Default for Banks in Southern Africa”. Cogent Economics &Amp; Finance 10, no. 1 (2022). https://doi.org/10.1080/23322039.2022.2141884.
Matanda E, Chikodza E, Kwenda F. Fuzzy structural risk of default for banks in Southern Africa. Cogent Economics & Finance. 2022;10(1).
Journal Categories
Social Sciences
Economic theory
Demography
Social Sciences
Economic theory
Demography
Economics as a science
Social Sciences
Finance
Refrences
Title Journal Journal Categories Citations Publication Date
Title 2014
Title Economics Letters
  • Social Sciences: Commerce: Business
  • Social Sciences: Economic theory. Demography: Economics as a science
  • Social Sciences: Economic theory. Demography: Economics as a science
1984
Title 2019
Title Transactions 2017
Title 2013
Citations
Title Journal Journal Categories Citations Publication Date
Credit Risk Determinants in Selected Ethiopian Commercial Banks: A Panel Data Analysis

Journal of Risk and Financial Management
  • Social Sciences: Finance
2 2023
Predicting Multi-Period Corporate Default Based on Bayesian Estimation of Forward Intensity—Evidence from China

Systems
  • Technology: Engineering (General). Civil engineering (General): Systems engineering
  • Technology: Technology (General)
  • Social Sciences: Sociology (General)
  • Social Sciences: Sociology (General)
  • Social Sciences
1 2022
Citations Analysis
The category Social Sciences: Finance 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Predicting Multi-Period Corporate Default Based on Bayesian Estimation of Forward Intensity—Evidence from China and was published in 2022. The most recent citation comes from a 2023 study titled Credit Risk Determinants in Selected Ethiopian Commercial Banks: A Panel Data Analysis. This article reached its peak citation in 2023, with 1 citations. It has been cited in 2 different journals, 50% of which are open access. Among related journals, the Journal of Risk and Financial Management cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year