Showing 1 - 10 of 13
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
This chapter provides an overview of pseudo-out-of-sample tests of unconditional predictive ability. We begin by providing an overview of the literature, including both empirical applications and theoretical contributions. We then delineate two distinct methodologies for conducting inference:...
Persistent link: https://www.econbiz.de/10013137483
Persistent link: https://www.econbiz.de/10011691646
Persistent link: https://www.econbiz.de/10009627354
Persistent link: https://www.econbiz.de/10009628606
Persistent link: https://www.econbiz.de/10012609779
Persistent link: https://www.econbiz.de/10013464633
Small-scale VARs are widely used in macroeconomics for forecasting U.S. output, prices, and interest rates. However …, recent work suggests these models may exhibit instabilities. As such, a variety of estimation or forecasting methods might be … effectiveness of such methods in real time forecasting. We use forecasts from univariate time series models, the Survey of …
Persistent link: https://www.econbiz.de/10014057057
volatility specifications, in terms of point forecasting to some degree and density forecasting to a greater degree …
Persistent link: https://www.econbiz.de/10013100483
the pandemic period, as well as for earlier subsamples of relatively high volatility. In historical forecasting, outlier …
Persistent link: https://www.econbiz.de/10013184356