PREDICTING NIGERIA'S ECONOMIC GROWTH THROUGH TIME SERIES ANALYSIS: A 1960–2015 STUDY

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.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-24
DOI
https://doi.org/10.5281/zenodo.19593702
Primary Topic
Forecasting Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PREDICTING NIGERIA'S ECONOMIC GROWTH THROUGH TIME SERIES ANALYSIS: A 1960–2015 STUDY

Olumide Samuel Adegboye
Zenodo (CERN European Organization for Nuclear Research)
Forecasting Techniques and Applications
article

PREDICTING NIGERIA'S ECONOMIC GROWTH THROUGH TIME SERIES ANALYSIS: A 1960–2015 STUDY

Olumide Samuel Adegboye
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Olusegun Agagu University of Science and Technology (NG)
Decent work and economic growth
Openalex Percentile: Top 51%
Forecasting Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.