A BVAR Model for Forecasting Ukrainian Inflation and GDP

In this paper, I examine the forecasting performance of a Bayesian Vector Autoregression (BVAR) model with a steady-state prior and compare the accuracy of the forecasts against the QPM and official NBU forecasts during the Q1 2016–Q1 2020 period. My findings suggest that inflation forecasts produce...

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Main Author: Nadiia Shapovalenko
Format: Article
Language:English
Published: National Bank of Ukraine 2021-06-01
Series:Visnyk of the National Bank of Ukraine
Subjects:
Online Access:https://journal.bank.gov.ua/en/article/2021/251/02
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author Nadiia Shapovalenko
author_facet Nadiia Shapovalenko
author_sort Nadiia Shapovalenko
collection DOAJ
description In this paper, I examine the forecasting performance of a Bayesian Vector Autoregression (BVAR) model with a steady-state prior and compare the accuracy of the forecasts against the QPM and official NBU forecasts during the Q1 2016–Q1 2020 period. My findings suggest that inflation forecasts produced by the BVAR model are more accurate than those of the QPM model for two quarters ahead and are competitive for a longer time horizon. The BVAR forecasts for GDP growth also outperform those of the QPM but for the whole forecast horizon. Moreover, it is revealed that the BVAR model demonstrates a better performance compared to the NBU’s official inflation forecasts over the monetary policy horizon, whereas the opposite is true for GDP growth forecasts. Future research may deal with estimation issues brought about by COVID-19.
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spelling doaj.art-50c63c8b2301413ead446f2c53c17a7f2022-12-21T21:10:53ZengNational Bank of UkraineVisnyk of the National Bank of Ukraine2414-987X2021-06-01251143610.26531/vnbu2021.251.02A BVAR Model for Forecasting Ukrainian Inflation and GDPNadiia Shapovalenko0National Bank of UkraineIn this paper, I examine the forecasting performance of a Bayesian Vector Autoregression (BVAR) model with a steady-state prior and compare the accuracy of the forecasts against the QPM and official NBU forecasts during the Q1 2016–Q1 2020 period. My findings suggest that inflation forecasts produced by the BVAR model are more accurate than those of the QPM model for two quarters ahead and are competitive for a longer time horizon. The BVAR forecasts for GDP growth also outperform those of the QPM but for the whole forecast horizon. Moreover, it is revealed that the BVAR model demonstrates a better performance compared to the NBU’s official inflation forecasts over the monetary policy horizon, whereas the opposite is true for GDP growth forecasts. Future research may deal with estimation issues brought about by COVID-19.https://journal.bank.gov.ua/en/article/2021/251/02forecastinginflationgdpbvarforecast evaluation
spellingShingle Nadiia Shapovalenko
A BVAR Model for Forecasting Ukrainian Inflation and GDP
Visnyk of the National Bank of Ukraine
forecasting
inflation
gdp
bvar
forecast evaluation
title A BVAR Model for Forecasting Ukrainian Inflation and GDP
title_full A BVAR Model for Forecasting Ukrainian Inflation and GDP
title_fullStr A BVAR Model for Forecasting Ukrainian Inflation and GDP
title_full_unstemmed A BVAR Model for Forecasting Ukrainian Inflation and GDP
title_short A BVAR Model for Forecasting Ukrainian Inflation and GDP
title_sort bvar model for forecasting ukrainian inflation and gdp
topic forecasting
inflation
gdp
bvar
forecast evaluation
url https://journal.bank.gov.ua/en/article/2021/251/02
work_keys_str_mv AT nadiiashapovalenko abvarmodelforforecastingukrainianinflationandgdp
AT nadiiashapovalenko bvarmodelforforecastingukrainianinflationandgdp