Predicting relative forecasting performance: An empirical investigation
The relative performances of forecasting models change over time. This empirical observation raises two questions. First, is the relative performance itself predictable? Second, if so, can it be exploited in order to improve the forecast accuracy? We address these questions by evaluating the predict...
Main Authors: | Granziera, E. (Author), Sekhposyan, T. (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier B.V.
2019
|
Subjects: | |
Online Access: | View Fulltext in Publisher |
Similar Items
-
Averaging Predictive Distributions Across Calibration Windows for Day-Ahead Electricity Price Forecasting
by: Tomasz Serafin, et al.
Published: (2019-07-01) -
A Predictive Likelihood Approach to Bayesian Averaging
by: Tomáš Jeřábek, et al.
Published: (2015-01-01) -
Selection of Calibration Windows for Day-Ahead Electricity Price Forecasting
by: Grzegorz Marcjasz, et al.
Published: (2018-09-01) -
FORECASTING INDONESIAN INFLATION WITHIN AN INFLATION-TARGETING FRAMEWORK: DO LARGE-SCALE MODELS PAY OFF?
by: Solikin M. Juhro, et al.
Published: (2019-12-01) -
Predictive ability or data snopping? : essays on forecasting with large data sets
by: Kışınbay, Turgut
Published: (2004)