Least Squares Predictors for Threshold Models: Properties and Forecast Evaluation
Alessandra Amendola (),
Marcella Niglio () and
Cosimo Vitale ()
Additional contact information
Marcella Niglio: University of Salerno
Cosimo Vitale: University of Salerno
A chapter in Mathematical and Statistical Methods in Insurance and Finance, 2008, pp 1-9 from Springer
Abstract:
Abstract The forecasts generation from models that belong to the threshold class is discussed. The main problems that arise when forecasts have to be computed from these models are presented and, in particular, least squares, plug-in and combined predictors are pointed out. The performance of the proposed predictors are investigated using simulated and empirical examples that give evidence in favor of the forecasts combination.
Keywords: Threshold models; Forecasts generation; Forecast combination (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-88-470-0704-8_1
Ordering information: This item can be ordered from
http://www.springer.com/9788847007048
DOI: 10.1007/978-88-470-0704-8_1
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().