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Inflation Forecasting in Angola: A Fractional Approach

Inflation Forecasting in Angola: A Fractional Approach This paper forecasts inflation in Angola with an ARFIMA (autoregressive fractionally integrated moving average) model. It is found that inflation in Angola is a highly persistent variable with an order of integration constrained between 0 and 1. Moreover, a structural break is found in August 1996. Using the second subsample for forecasting purposes, the results reveal that inflation will remain low, assuming that prudent macroeconomic policies are maintained. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png African Development Review Wiley

Inflation Forecasting in Angola: A Fractional Approach

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References (66)

Publisher
Wiley
Copyright
© 2013 African Development Bank
ISSN
1017-6772
eISSN
1467-8268
DOI
10.1111/j.1467-8268.2013.12016.x
Publisher site
See Article on Publisher Site

Abstract

This paper forecasts inflation in Angola with an ARFIMA (autoregressive fractionally integrated moving average) model. It is found that inflation in Angola is a highly persistent variable with an order of integration constrained between 0 and 1. Moreover, a structural break is found in August 1996. Using the second subsample for forecasting purposes, the results reveal that inflation will remain low, assuming that prudent macroeconomic policies are maintained.

Journal

African Development ReviewWiley

Published: Mar 1, 2013

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