functional autoregressive (FAR) modeling approach to the density forecasting analysis of national inflation rates using sectoral … inflation rates in the UK over the period January 1997-September 2013. The pseudo out-of-sample forecasting evaluation and test … generating the density forecast of inflation, and analyse the performance of the central bank in achieving announced inflation …

In general, central banks are concerned with keeping the inflation rate stable while also sustaining output close to an … efficient level. Under "inflation targeting", forecasts of the evolution of the general price level are an essential input for … policy decisions and these are usually released in quarterly "Inflation Reports". The costs and benefits of transparency in …

In this paper, we explore machine learning (ML) methods to improve inflation forecasting in Brazil. An extensive out … identify the key variables to predict inflation, thus helping to open the ML black box. Despite the evidence of no universal … of mean-squared error. Moreover, the results indicate the existence of nonlinearities in the inflation dynamics, which …

while ARIMA model gives the most accurate forecast of twelve-month inflation in EU countries. The Holt-Winters (additive and … fact that the European Union has been implementing a policy of strict inflation targeting for a long time, so the ARIMA … models give the most accurate forecast of inflation future values. In the countries of the Western Balkans the targeting …