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We define nowcasting as the prediction of the present, the very near future and the very recent past. Crucial in this … collected at low frequency and published with long delays. Until recently, nowcasting had received very little attention by the … basis of simple models. We argue that the nowcasting process goes beyond the simple production of an early estimate as it …
Persistent link: https://www.econbiz.de/10011605321
We define nowcasting as the prediction of the present, the very near future and the very recent past. Key in this … argue that the nowcasting process goes beyond the simple production of an early estimate and it consists in the analysis of … nowcasting traditionally conducted in policy institutions and used, alongside the judgemental procedures, in many central banks …
Persistent link: https://www.econbiz.de/10008468620
This paper compares the predictive ability of the factor models of Stock and Watson (2002) and Forni, Hallin, Lippi, and Reichlin (2005) using a "large" panel of US macroeconomic variables. We propose a nesting procedure of comparison that clarifies and partially overturns the results of similar...
Persistent link: https://www.econbiz.de/10011604726
We compare sparse and dense representations of predictive models in macroeconomics, microeconomics and ftnance. To deal with a large number of possible predictors, we specify a prior that allows for both variable selection and shrinkage. The posterior distribution does not typically concentrate...
Persistent link: https://www.econbiz.de/10012515463
This paper compares the predictive ability of the factor models of Stock and Watson (2002) and Forni, Hallin, Lippi, and Reichlin (2005) using a large panel of US macroeconomic variables. We propose a nesting procedure of comparison that clarifies and partially overturns the results of similar...
Persistent link: https://www.econbiz.de/10005791574
We compare sparse and dense representations of predictive models in macroeconomics, microeconomics and ftnance. To deal with a large number of possible predictors, we specify a prior that allows for both variable selection and shrinkage. The posterior distribution does not typically concentrate...
Persistent link: https://www.econbiz.de/10012506019
We compare sparse and dense representations of predictive models in macroeconomics, microeconomics and finance. To deal with a large number of possible predictors, we specify a prior that allows for both variable selection and shrinkage. The posterior distribution does not typically concentrate...
Persistent link: https://www.econbiz.de/10013231185
This paper compares the predictive ability of the factor models of Stock and Watson (2002) and Forni, Hallin, Lippi, and Reichlin (2005) using a large panel of US macroeconomic variables. We propose a nesting procedure of comparison that clarifies and partially overturns the results of similar...
Persistent link: https://www.econbiz.de/10013317450
Vector autoregressions (VARs) are flexible time series models that can capture complex dynamic interrelationships among macroeconomic variables. However, their dense parameterization leads to unstable inference and inaccurate out-of-sample forecasts, particularly for models with many variables....
Persistent link: https://www.econbiz.de/10011083403
This paper shows that the explanation of the decline in the volatility of GDP growth since the mid-eighties is not the decline in the volatility of exogenous shocks but rather a change in their propagation mechanism.
Persistent link: https://www.econbiz.de/10011604911