Forecasting inflation in Romania to improve the monetary policy

Based on data of inflation forecasts provided quarterly by the National Bank of Romania, forecast intervals were built using the method of historical forecast errors. Forecast intervals were built considering that the forecast error series is normally distributed of zero mean and standard deviati...

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Main Author: Bratu Mihaela
Format: Article
Language:English
Published: Institute of International Politics and Economics, Belgrade 2012-01-01
Series:Međunarodni Problemi
Subjects:
Online Access:http://www.doiserbia.nb.rs/img/doi/0025-8555/2012/0025-85551202131B.pdf
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author Bratu Mihaela
author_facet Bratu Mihaela
author_sort Bratu Mihaela
collection DOAJ
description Based on data of inflation forecasts provided quarterly by the National Bank of Romania, forecast intervals were built using the method of historical forecast errors. Forecast intervals were built considering that the forecast error series is normally distributed of zero mean and standard deviation equal to the RMSE (root mean squared error) corresponding to historical forecast errors. The author introduced as a measure of economic state the indicator- relative variance of the phenomenon at a specific time in relation with the variance on the entire time horizon. For Romania, when inflation rates follows an AR (1), She improved the technique of building forecast intervals taking into account the state of the economy in each period for which data were recorded. The author concludes that it is necessary to build forecasts intervals in order to have a measure of predictions uncertainty.
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spelling doaj.art-3d139c103e424779bfebf875350fed312024-03-02T11:41:06ZengInstitute of International Politics and Economics, BelgradeMeđunarodni Problemi0025-85552012-01-0164213114310.2298/MEDJP1202131BForecasting inflation in Romania to improve the monetary policyBratu MihaelaBased on data of inflation forecasts provided quarterly by the National Bank of Romania, forecast intervals were built using the method of historical forecast errors. Forecast intervals were built considering that the forecast error series is normally distributed of zero mean and standard deviation equal to the RMSE (root mean squared error) corresponding to historical forecast errors. The author introduced as a measure of economic state the indicator- relative variance of the phenomenon at a specific time in relation with the variance on the entire time horizon. For Romania, when inflation rates follows an AR (1), She improved the technique of building forecast intervals taking into account the state of the economy in each period for which data were recorded. The author concludes that it is necessary to build forecasts intervals in order to have a measure of predictions uncertainty.http://www.doiserbia.nb.rs/img/doi/0025-8555/2012/0025-85551202131B.pdfuncertaintyinflationforecast intervalsrelative variancehistorical forecasts errorsroot mean squared error (RMSE)
spellingShingle Bratu Mihaela
Forecasting inflation in Romania to improve the monetary policy
Međunarodni Problemi
uncertainty
inflation
forecast intervals
relative variance
historical forecasts errors
root mean squared error (RMSE)
title Forecasting inflation in Romania to improve the monetary policy
title_full Forecasting inflation in Romania to improve the monetary policy
title_fullStr Forecasting inflation in Romania to improve the monetary policy
title_full_unstemmed Forecasting inflation in Romania to improve the monetary policy
title_short Forecasting inflation in Romania to improve the monetary policy
title_sort forecasting inflation in romania to improve the monetary policy
topic uncertainty
inflation
forecast intervals
relative variance
historical forecasts errors
root mean squared error (RMSE)
url http://www.doiserbia.nb.rs/img/doi/0025-8555/2012/0025-85551202131B.pdf
work_keys_str_mv AT bratumihaela forecastinginflationinromaniatoimprovethemonetarypolicy