Showing 1 - 10 of 19
We define and forecast classical business cycle turning points for the Norwegian economy. When defining reference business cycles, we compare a univariate and a multivariate Bry-Boschan approach with univariate Markov-switching models and Markov-switching factor models. On the basis of a...
Persistent link: https://www.econbiz.de/10011277154
Market efficiency hypothesis suggests a zero level for the intraday interest rate. However, a liquidity crisis introduces frictions related to news, which can cause an upward jump of the intraday rate. This paper documents that these dynamics can be partially predicted during turbulent times. A...
Persistent link: https://www.econbiz.de/10009292070
publicly traded real estate assets (REITs). The estimation approach relies on Bayesian methods to model the latent process …
Persistent link: https://www.econbiz.de/10009393966
In this paper we derive a general parametric bootstrapping approach to compute density forecasts for various types of mixed-data sampling (MIDAS) regressions. We consider both classical and unrestricted MIDAS regressions with and without an autoregressive component. First, we compare the...
Persistent link: https://www.econbiz.de/10010835403
We review several methods to define and forecast classical business cycle turning points in Norway. In the paper we compare the Bry - Boschan rule (BB) with a Markov Switching model (MS), using alternative vintages of Norwegian Gross Domestic Product (GDP) as the business cycle indicator. The...
Persistent link: https://www.econbiz.de/10010835410
business cycle analysis. In order to account for parameter uncertainty we consider a Bayesian approach to both estimation and …
Persistent link: https://www.econbiz.de/10010835414
This paper examines the predictive power of weather for electricity prices in day-ahead markets in real time. We find that next-day weather forecasts improve the forecast accuracy of day-ahead electricity prices substantially, suggesting that weather forecasts can price the weather premium....
Persistent link: https://www.econbiz.de/10005481438
This paper revisits ination forecasting using reduced form Phillips curve forecasts, i.e., inflation forecasts using activity and expectations variables. We propose a Phillips curve-type model that results from averaging across different regression specifications selected from a set of potential...
Persistent link: https://www.econbiz.de/10008515839
We propose a methodology for producing forecast densities for economic aggregates based on disaggregate evidence. Our ensemble predictive methodology utilizes a linear mixture of experts framework to combine the forecast densities from potentially many component models. Each component represents...
Persistent link: https://www.econbiz.de/10008516805
We argue that the next generation of macro modellers at Inflation Targeting central banks should adapt a methodology from the weather forecasting literature known as `ensemble modelling'. In this approach, uncertainty about model specifications (e.g., initial conditions, parameters, and boundary...
Persistent link: https://www.econbiz.de/10004976646