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stock returns, we show that no single forecasting approach dominates uniformly. However, forecast combination and shrinkage …We develop novel forecasting methods for panel data with heterogeneous parameters and examine them together with … forecasting methods can perform better than forecasts based on individual estimates and demonstrate how gains in predictive …
Persistent link: https://www.econbiz.de/10013176894
We propose a new algorithm which allows easy estimation of Vector Autoregressions (VARs) featuring asymmetric priors and time varying volatilities, even when the cross sectional dimension of the system N is particularly large. The algorithm is based on a simple triangularisation which allows to...
Persistent link: https://www.econbiz.de/10011389735
During the year 2016, the Central Bank of Argentina has begun to announce inflation targets. In this context, providing the authorities of good estimates of relevant macroeconomic variables turns out to be crucial to make the pertinent corrections to reach the desired policy goals. This paper...
Persistent link: https://www.econbiz.de/10011846246
In 2016 the Central Bank of Argentina began to announce inflation targets. In this context, providing authorities with good estimates of relevant macroeconomic variables is crucial for making pertinent corrections in order to reach the desired policy goals. This paper develops a group of models...
Persistent link: https://www.econbiz.de/10011882797
Vector autoregressions have steadily gained in popularity since their introduction in econometrics 25 years ago. A drawback of the otherwise fairly well developed methodology is the inability to incorporate prior beliefs regarding the system's steady state in a satisfactory way. Such prior...
Persistent link: https://www.econbiz.de/10011585058
The issue of modelling observations generated in matrix form over time is key in economics, finance and many domains of application. While it is common to model vectors of observations through standard vector time series analysis, original matrix-valued data often reflect different types of...
Persistent link: https://www.econbiz.de/10014237100
This paper develops a new class of structural vector autoregressions (SVARs) with time-varying parameters, which I call a drifting SVAR (DSVAR). The DSVAR is the first structural time-varying parameter model to allow for internally consistent probabilistic inference under exact—or...
Persistent link: https://www.econbiz.de/10014111397
and out-of-sample forecasting performance. Specifically, we construct a VAR model where the orthogonalised shocks feature …
Persistent link: https://www.econbiz.de/10013021982
This chapter provides an overview of solution and estimation techniques for dynamic stochastic general equilibrium models. We cover the foundations of numerical approximation techniques as well as statistical inference and survey the latest developments in the field.
Persistent link: https://www.econbiz.de/10014024288
straightforward posterior computation, they require minimal input by the user, and they result in shrinkage posterior representations …, thus, making them appropriate for models of large dimensions. A comprehensive forecasting exercise involving TVP-VARs of …
Persistent link: https://www.econbiz.de/10013059299