Department of Electronic Commerce

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Author: search.filters.author.Muvingi, JacobEnd date: 2019

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    Modelling the Sensitivity of Zimbabwean Commercial Banks’ Non-performing Loans to Shocks in Macro-economic Variables and Micro-economic Variables: (2009-2014)
    (World Journal of Operational Research, 2017-06-21) Muvingi, Jacob; Sauka, Kudzai; Chisunga, David; Chirume, Crispen
    This paper used complementary panel data models that are fixed effect regression model and panel vector auto regression model. The study was motivated by the hypothesis that both macroeconomic and microeconomic variables have an effect on the loan quality. The first part of the research was to determine the specific macro and microeconomic variables that give rise to the non-performing loans (NPLs) using fixed effect regression model. The empirical findings of this study provide evidence that nonperforming loans depends on macro and micro economic variables, the trend analysis of Zimbabwean commercial banks’ shows an upward movement of over the period of study. The study found out that Gross domestic product (GDP), Inflation, loan deposit ratio and bank size had a statistical significant effect on the level of non-performing loans (NPLs). The second part was mainly to model the dynamic relationship of all the variables that were found to affect nonperforming loans (NPLs); this was done through impulse response analysis based on PANEL VAR model. One standard shock to credit growth will be greatly felt in the sixth year, whereas of size of the bank will have a great negative impulse in the seventh year
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    Zimbabwe commercials banks efficiency and productivity analysis through DEA Malmquist approach: 2002-2012
    (Journal of Data Envelopment Analysis and Decision Science, 2015-01-30) Muvingi, Jacob; Hotera, Suggest
    Majority of data envelopment analysis studies have been focused on developed economies and economies in Asia, and very few studies on developing economies particularly African economies. This research aims to determine bank efficiency and productivity change of Zimbabwean commercial banks. The DEA model was used to measure the efficiency of 10 commercial banks working in Zimbabwe. The intermediation approach was used to specify variables. The average scores of technical efficiency under the Constant Returns to Scale (CRS) and Variable Returns to Scale (VRS) assumptions for the commercial banking sector as a whole are 70.95% and 81.5% respectively. The average scale efficiency for commercial banks operating in Zimbabwe was found to be 73.7%.Through applying the Malmquist Productivity Index (MPI) method; it was found that the mean total factor productivity increase for Zimbabwean commercial banks from 2003 to 2012 is 13.8%. The results also showed that the total factor productivity index peaked in 2009 where it reached a value of 121.1% and reached the lowest point in 2005 were it went down to (-52%)