This note documents a curious finding about the substantial forecast ability of a simple aggregator of three commodity … futures prices for U.S. core inflation. The proposed aggregator reduces the out-of-sample root mean squared error for 12-month …-ahead inflation forecasts of the benchmark AR(1) model by 28 percent (20 percent) for the PCE (CPI) measure of core inflation. To …

, inflation expectations, exchange rate changes and stock market volatility among others. Hence, forecasting the price of gold is … allows both the forecasting model and the coefficients to change over time. Based on this framework, we systematically … measure of the forecasting performance. We carefully assess which predictors are relevant for forecasting at different points …

Republic of Macedonia (NBRM) for short-term forecasting of inflation - Autoregressive integrated moving average models … models' out-of-sample forecasting performance for the period 2012 q3 to 2016 q2 by using a number of forecast evaluation … increases. Second, the disaggregated ARIMA model has the smallest forecasting errors. Third, majority of the forecast evaluation …