This study focuses on forecasting Nigeria’s gross domestic product (GDP) using time series analysis for the period 1960–2015. Economic growth remains a central objective for governments, with GDP serving as a key indicator of national economic performance. Accurate forecasting of GDP is critical for policymakers and economic planners, especially in periods of economic volatility, such as recessions and global financial crises, which have significant implications for inflation, interest rates, and overall economic stability. Using historical GDP data, the study employs time series modeling to analyze trends, patterns, and seasonal fluctuations in Nigeria’s economic performance. The findings provide insights into the dynamics of GDP growth, highlighting periods of acceleration, stagnation, and decline, which can inform future fiscal and monetary policy decisions. The study underscores the importance of reliable forecasting methods in anticipating economic challenges and planning interventions that promote sustainable growth. By leveraging historical data, the research contributes to a better understanding of Nigeria’s macroeconomic trajectory and offers practical guidance for both policymakers and investors in mitigating risks associated with economic fluctuations.
Olumide Samuel Adegboye (Mon,) studied this question.