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We use factor augmented vector autoregressive models with time-varying coefficients to construct a financial conditions index. The time-variation in the parameters allows for the weights attached to each .financial variable in the index to evolve over time. Furthermore, we develop methods for...
Persistent link: https://www.econbiz.de/10010678559
We use factor augmented vector autoregressive models with time-varying coe¢ cients to construct a …nancial conditions index. The time-variation in the parameters allows for the weights attached to each …nancial variable in the index to evolve over time. Furthermore, we develop methods for...
Persistent link: https://www.econbiz.de/10011019232
– 2010 I exhaustively evaluate the forecasting properties of Bayesian shrinkage in regressions with many predictors. Results …
Persistent link: https://www.econbiz.de/10009000949
-- 2010 I exhaustively evaluate the forecasting properties of Bayesian shrinkage in regressions with many predictors. Results …
Persistent link: https://www.econbiz.de/10009004835
This paper compares the forecasting performance of different models which have been proposed for forecasting in the … macroeconomic time series, we demonstrate the presence of structural breaks and their importance for forecasting in the vast … majority of cases. We find no single forecasting model consistently works best in the presence of structural breaks. In many …
Persistent link: https://www.econbiz.de/10009142658
is assessed in forecasting three major macroeconomic time series of the UK economy. Data-based restrictions of VAR … coefficients can help improve upon their unrestricted counterparts in forecasting, and in many cases they compare favorably to …
Persistent link: https://www.econbiz.de/10008764097
We use factor augmented vector autoregressive models with time-varying coefficients and stochastic volatility to construct a financial conditions index that can accurately track expectations about growth in key US macroeconomic variables. Time-variation in the models׳ parameters allows for the...
Persistent link: https://www.econbiz.de/10011048625
In this paper, we develop methods for estimation and forecasting in large time-varying parameter vector autoregressive … dimension can change over time. For instance, we can have a large TVP-VAR as the forecasting model at some points in time, but a … use of forgetting factor methods and are, thus, computationally simple. An empirical application involving forecasting …
Persistent link: https://www.econbiz.de/10011052255
We use factor augmented vector autoregressive models with time-varying coefficients to construct a financial conditions index. The time-variation in the parameters allows for the weights attached to each financial variable in the index to evolve over time. Furthermore, we develop methods for...
Persistent link: https://www.econbiz.de/10011108998
, thus, making them appropriate for models of large dimensions. A comprehensive forecasting exercise involving TVP-VARs of …
Persistent link: https://www.econbiz.de/10011109841