In this paper, I apply univariate and vector autoregressive (VAR) models to forecast inflation in Vietnam. To … properties of inflation in Vietnam. Then, I compute the pseudo out-of-sample root mean square error (RMSE) as a measure of … forecasting models from among the different candidates. I find that VAR_m2 is the best monthly model to forecast inflation in …

The hierarchical structure of the Colombian Consumer Price Index (CPI) makes possible to calculate inflation as a … inflation using a lineal combination of the forecasts of these components, i.e. a "bottom to top" approach. In this paper, we … compared with an aggregate forecast using a SARIMA model. Our results show that a "bottom to top" method to forecast inflation …

applied to quarterly and monthly US inflation in an empirical study. We find that the persistence of quarterly inflation has … and density forecasts for monthly US inflation. …

for future inflation for the cross section of New EU Member States. This paper provides stylized facts on monetary versus … non-monetary (economic and fiscal) determinants of inflation in these countries as well as formal econometric evidence on … predicting inflation at longer (3-year) horizons. …

In this paper we argue that future inflation in an economy depends on the way people perceive current inflation, their … inflation sentiment. We construct some simple measures of inflation sentiment which capture whether price acceleration is shared … by many components of the CPI basket. In a comparative analysis of the forecasting power of the different inflation …

paper evaluates a sequence of inflation forecasts in the Norges Bank Inflation Report, and we present automatized forecasts … for the official forecasts. On the basis of the evidence, the recent inflation forecast failure appears to have been …

framework, indicating demand pressure that generates inflation. The output gap is also an important variable in itself, as a … value added in predicting inflation. The multivariate measures of the output gap have by far the best predictive power. This … predicting inflation. As uncertainties are particularly pronounced at the end of the calculation periods, assessment of pressures …

In this research paper ARCH-type models are applied in order to estimate the Value-at-Risk (VaR) of an inflation …-index futures portfolio for several time-horizons. The empirical analysis is carried out for Mexican inflation-indexed futures … time horizons. These results have implications for short-term inflation forecasts. By estimating confidence intervals in …

Any measure of unobserved inflation uncertainty relies on specific assumptions which are most likely not fulfilled … indicator for inflation uncertainty. Moreover, the idiosyncratic component of survey disagreement contains systematic … that higher inflation is followed by higher uncertainty. By contrast, we obtain contradictory results for the individual …

This paper proposes a methodology to nowcast and forecast inflation using data with sampling frequency higher than … accurate estimates of inflation for the current and followings months. In particular, this paper uses the Weekly Oil Bulletin …