Forecasting Key Macroeconomic Indicators in Ghana Using a Time-Varying VECM with Conformal Prediction Intervals

This paper presents a six-month-ahead forecast of three key Ghanaian macroeconomic indicators: the USD/GHS exchange rate, the Consumer Price Index (CPI) and the Monetary Policy Rate (MPR). A Time-Varying Vector Error Correction Model (TV-VECM) is utilized to capture dynamic interrelationships among the variables. Conformal prediction intervals are incorporated to quantify uncertainty under minimal distributional assumptions. The results suggest moderate currency depreciation, persistent inflationary trends and stability in nominal interest rates over the forecast horizon.

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Publication Details

Journal
American Journal of Applied Statistics and Economics
Published
2025-09-29
DOI
https://doi.org/10.54536/ajase.v4i1.5752
Primary Topic
Energy Load and Power Forecasting
Type
article
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article

Forecasting Key Macroeconomic Indicators in Ghana Using a Time-Varying VECM with Conformal Prediction Intervals

Emmanuel Chinton, Donkoh Kojo Isaac, Emmanuel Nana Oware Acquah
American Journal of Applied Statistics and Economics
Energy Load and Power Forecasting
article

Forecasting Key Macroeconomic Indicators in Ghana Using a Time-Varying VECM with Conformal Prediction Intervals

Emmanuel Chinton, Donkoh Kojo Isaac, Emmanuel Nana Oware Acquah
article en

Abstract

This paper presents a six-month-ahead forecast of three key Ghanaian macroeconomic indicators: the USD/GHS exchange rate, the Consumer Price Index (CPI) and the Monetary Policy Rate (MPR). A Time-Varying Vector Error Correction Model (TV-VECM) is utilized to capture dynamic interrelationships among the variables. Conformal prediction intervals are incorporated to quantify uncertainty under minimal distributional assumptions. The results suggest moderate currency depreciation, persistent inflationary trends and stability in nominal interest rates over the forecast horizon.

American Journal of Applied Statistics and EconomicsVol. 4(1)
University of Cape Coast (GH), Youngstown State University (US), World University of Bangladesh (BD)
Openalex Percentile: Top 74%
Energy Load and Power Forecasting
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