Azevedo, João Valle eAguiar, Miguel Alexandre Pina Alves Lopes2013-05-142013-05-142012-06http://hdl.handle.net/10362/9586A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and EconomicsIn this paper month-on-month inflation is forecasted using information on expected inflation by participants in financial markets as an additional regressor to a direct autoregressive method and the results are compared to those of the most commonly used univariate forecasting methods. These forecasts are then used to forecast quarterly inflation and the results are compared to those of the SPF and iterated autoregressive with fixed number of lags.engInflation forecastingTreasury inflation protected securities (TIPS)Survey of professional forecastersmaster thesis