We propose in this paper a threshold nonlinearity test for financial time series. Our approach adopts reversible-jump Markov chain Monte Carlo methods to calculate the posterior probabilities of two competitive models, namely GARCH and threshold GARCH models. Posterior evidence favouring the thresho
A Test for Nonlinearity of Time Series with Infinite Variance
β Scribed by Sidney Resnick; Eric Van Den Berg
- Book ID
- 110284765
- Publisher
- Springer
- Year
- 2000
- Tongue
- English
- Weight
- 227 KB
- Volume
- 3
- Category
- Article
- ISSN
- 1386-1999
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## Abstract As a part of an effective selfβexciting threshold autoregressive (SETAR) modeling methodology, it is important to identify processes exhibiting SETARβtype nonlinearity. A number of tests of nonlinearity have been developed in the literature. However, it has recently been shown that all