In this paper we investigate the properties of the Lagrange Multiplier [LM] test for autoregressive conditional heteroscedasticity (ARCH) and generalized ARCH (GARCH) in the presence of additive outliers (AOs). We show analytically that both the asymptotic size and power are adversely aected if AOs
Forecast evaluation tests in the presence of ARCH
โ Scribed by David I. Harvey; Stephen J. Leybourne; Paul Newbold
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 134 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0277-6693
No coin nor oath required. For personal study only.
โฆ Synopsis
We consider tests for the equality of prediction mean squared errors and for forecast encompassing. It is shown that, if forecast errors exhibit ARCH, size distortions are induced in the usual tests. Adjusted test statistics are suggested to alleviate this problem.
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