2023, Vol. 4, Issue 1, Part A
Dynamical foresight and optimum development modelling the efficacy of Ghana's rural-community banks (RCB’S) using stochastic differential equations
Author(s): Pascal Gidigah, Joseph Acquah and Akyene Tetteh
Abstract: Using stochastic differential equations, this research examines the performance of RCBs in Ghana. To foretell RCB performance in Ghana, this research employed 4-dimensional stochastic differential equations. With inflation expected to increase, the forecast predicts that the RCB's profitability, liquidity, and solvency will all decline by 2029. The profitability SDE loses the least data and the liquidity SDE is the best predictor of future RCB efficiency. In this way, we assist RCBs in reaching their full financial potential. For RCB, the fifth year is prime time to resolve problems and accomplish objectives. The SDE Model suggests that the ninth year is the optimal time to liquidate RCB assets with minimal impact on their market value. The optimal response to the RCB solvency question indicates that the company has sufficient cash on hand to meet its long-term debt obligations.
Pages: 26-32 | Views: 297 | Downloads: 95
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How to cite this article:
Pascal Gidigah, Joseph Acquah and Akyene Tetteh. Dynamical foresight and optimum development modelling the efficacy of Ghana's rural-community banks (RCB’S) using stochastic differential equations. Journal of Mathematical Problems, Equations and Statistics. 2023; 4(1): 26-32.