ABSTRACT
A mathematical model which captures Nigerian Current Account (NCA) net movements were examined in short and long-term future investments plans, since each finite state communicates. In particular, this paper considered a Markov chain model and time-dependent delay parameter to study Nigeria Current Account net movements, which could be used for decision making. The 3-steps transition probability matrices were considered for NCA data for each group, where movements of NCA net were known. The stochastic matrix solution revealed that group-D had the highest probability of increase in the near future with 179% and has the highest probability of reducing by 43% and finally has the highest probability of no change by 90%. Also, the effects of time delay in each independent group were considered to note changes in commodity prices or global demand for Nigeria exports. Consequently, the impacts of surface view profile of highest covariance matrix and the effect of relevant parameters were discussed for the purpose of this paper.
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