Autori: Marcellino, Massimiliano , Jorda, Oscar
Titolo: Path Forecast Evaluation
Periodico: European University Institute of Badia Fiesolana (Fi). Department of Economics - Working papers
Anno: 2008 - Fascicolo: 34 - Pagina iniziale: 1 - Pagina finale: 44

A path forecast refers to the sequence of forecasts 1 to H periods into the future. A summary of the range of possible paths the predicted variable may follow for a given confidence level requires construction of simultaneous confidence regions that adjust for any covariance between the elements of the path forecast. This paper shows how to construct such regions with the joint predictive density and Scheffé’s (1953) S-method. In addition, the joint predictive density can be used to construct simple statistics to evaluate the local internal consistency of a forecasting exercise of a system of variables. Monte Carlo simulations demonstrate that these simultaneous confidence regions provide approximately correct coverage in situations where traditional error bands, based on the collection of marginal predictive densities for each horizon, are vastly off mark. The paper showcases these methods with an application to the most recent monetary episode of interest rate hikes in the U.S. macroeconomy.


Premi sulle icone a fianco dei nomi per visualizzare i libri scritti dall'autore

---

---

Esportazione dati in Refworks (solo per utenti abilitati)