movements of key macroeconomic variables, i.e., CPI inflation, GDP, employment, and an output gap. In particular, questions … output gap and adds information to the benchmark forecasts for GDP and employment. …

benchmark model, while it performs equally well than the BloombergSurvey. Additionally, we use our model to produce annual GDP …

This paper proposes a new approach for nowcasting as yet unavailable GDP growth by estimating monthly GDP growth with a … more precise estimates of recent GDP growth at an earlier stage of nowcasting than the nowcasts of professional forecasters. … large dataset. The model consists of two parts: (i) a few indicators that explain a large part of the variation in GDP …

GDP and other variables. The aim of this article is to evaluate the forecasting performance of the Central Bank of Brazil … Survey and to compare it with the mechanical forecasts based on state-of-the-art nowcasting techniques. Results indicate that …

several practical advantages, we also document a better historical nowcasting performance of the new index. …

mixed-data sampling (MIDAS) regressions. We consider both classical and unrestricted MIDAS regressions with and without an … autoregressive component. First, we compare the forecasting performance of the different MIDAS models in Monte Carlo simulation …. Some differences are instead more evident when the persistence is high, for which the AR- MIDAS and the AR-U-MIDAS produce …

of the global GDP annual growth, that is often considered as the benchmark nowcast by macroeconomists. In this paper, we … Factor-Augmented MIxed DAta Sampling (FA-MIDAS) model that enables (i) to account for a large monthly database including …-frequency information. Pseudo real-time results show that this approach provides reliable and timely nowcasts of the world GDP annual growth …

. Our main finding from a historical nowcasting simulation based on euro area GDP is that the predictive power of the survey …This paper investigates the trade-off between timeliness and quality in nowcasting practices. This trade-off arises … when the frequency of the variable to be nowcast, such as GDP, is quarterly, while that of the underlying panel data is …