In this paper we study the performance of the GARCH model and two of its non-linear modifications to forecast weekly stock market volatility. The models are the Quadratic GARCH (Engle and Ng, 1993) and the Glosten, Jagannathan and Runkle (1992) models which have been proposed to describe, for exampl
Forecasting from non-linear models in practice
โ Scribed by Jin-Lung Lin; C. W. J. Granger
- Publisher
- John Wiley and Sons
- Year
- 1994
- Tongue
- English
- Weight
- 463 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0277-6693
No coin nor oath required. For personal study only.
โฆ Synopsis
Abstract
If a simple nonโlinear autoregressive timeโseries model is suggested for a series, it is not straightforward to produce multiโstep forecasts from it. Several alternative theoretical approaches are discussed and then compared with a simulation study only for the twoโstep case. It is suggested that fitting a new model for each forecast horizon may be a satisfactory strategy.
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