THE ROLE OF TIME-SERIES ANALYSIS IN FORECASTING MACROECONOMIC INDICATORS: A STATISTICAL PERSPECTIVE
DOI:
https://doi.org/10.55640/Keywords:
Time-series analysis, forecasting, macroeconomic indicators, statistical interpretation, inflation, GDP, unemployment,Abstract
This article examines the significance of time-series analysis in forecasting key macroeconomic indicators such as inflation, GDP growth, unemployment, interest rates, and exchange rate movements. The study highlights how statistical interpretation of long-term data patterns helps governments, central banks, and financial institutions make evidence-based decisions. It explores the fundamental principles of time-dependent data, the challenges of volatility, seasonality, and structural changes, and the role of statistical reasoning in improving forecast accuracy. By analyzing the evolution of time-series methodology and its practical applications, the article provides a comprehensive perspective on how statistical tools support economic planning and long-term stability.
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