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Awoin, E., Appiahene, P., Gyasi, F. and Sabtiwu, A. (2020) Predicting the Performance of Rural Banks in Ghana Using Machine Learning Approach. Advances in Fuzzy Systems, 2020, Article ID: 8028019.
https://doi.org/10.1155/2020/8028019

has been cited by the following article:

• TITLE: Modelling and Simulating Dynamics Efficiency of Rural-Community Banks (RCBs) in Ghana

  AUTHORS: Pascal Gidigah, Joseph Acquah, Akyene Tetteh

  KEYWORDS: Efficiency, Rural and Community Banks, Stochastic Differential Equations, Stochastic Jumps

  JOURNAL NAME: Open Journal of Modelling and Simulation, Vol.10 No.4, August 25, 2022

  ABSTRACT: The present work seeks to develop a model for measuring efficiency of RCBs in Ghana by means of financial key performance indicators pairing macroeconomic indicators. A stochastic differential equation model for predicting the efficiency of RCBs in the future is developed and simulated using gaussian jumps to evaluate the models’ performance in unpredicted situations with four distinct phases of efficiency. Unique solution Exit multiple 4-dimensional stochastic differential equations and Macroeconomic model is proven to be the best-fitting model for the data with the lowest information criterion.