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Nkemdinim Kaydee Odu-Ndom

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Nkemdinim Kaydee Odu-Ndom is a registered researcher in their academic field.

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stochastic processes; bank stress testing; geometric Brownian motion; exponential decay; stock prices · 2026 · Ktrend – Nigerian Journal of Mathematical and Computational Sciences

Stress Testing Nigerian Banks: An Exponential-Decay Geometric Brownian Motion Model

This paper applies an exponential-decay geometric Brownian motion (GBM) model to illustrate how shocks and sustained downward pressure may affect Nigerian bank stock prices. The standard GBM drift is adjusted from $\mu$ to $\mu-k$, where $k>0$ is the decay rate. Brownian-motion paths illustrate the source of uncertainty, while simulated stock-price paths demonstrate how assets with identical initial values can diverge under volatility. Sensitivity analysis shows that the relationship between $k$ and $\mu$ determines the behavior of the expected price: the mean grows when $\mu>k$, remains constant when $\mu=k$, and declines exponentially when $\mu\mu$, the mean-price half-life is $\ln(2)/(k-\mu)$. The model therefore offers a transparent scenario-generation tool for regulators and risk managers. It is an illustrative stress-testing model rather than an empirically calibrated model of any named Nigerian bank.

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stochastic fluctuations; bank valuation; geometric Brownian motion; inflation; long-term growth; stock prices. · 2026 · African Journal of Mathematics, Statistics and Computer Science

Solution of a Linear Stochastic Differential Equation for the Impact of Inflation and Long-Term Growth Trends on Bank Valuation

This study investigates the dynamics of Nigerian bank stock prices using an exponential-growth geometric Brownian motion framework. The model extends the classical geometric Brownian motion (GBM) by incorporating a growth-adjustment parameter $k$ in the drift term, allowing it to capture both deterministic long-term growth and stochastic fluctuations. Three Brownian-motion paths are first presented to illustrate the underlying randomness, followed by sample price paths demonstrating how the same growth rate can produce both upward and downward trajectories depending on the shock realizations. A sensitivity analysis is then conducted to assess the effect of $k$ on the simulated paths. The results show that higher values of $k$ amplify exponential growth or decay and increase dispersion in absolute valuation. This framework provides insight into how long-term growth expectations interact with short-term volatility in the Nigerian banking sector.