## 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
A Tukey Nonadditivity-Type Test for Time Series Nonlinearity
β Scribed by Daniel MacRae Keenan
- Book ID
- 124289471
- Publisher
- Oxford University Press
- Year
- 1985
- Tongue
- English
- Weight
- 666 KB
- Volume
- 72
- Category
- Article
- ISSN
- 0006-3444
- DOI
- 10.2307/2336333
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## Abstract There has been growing interest in exploiting potential forecast gains from the nonlinear structure of selfβexciting threshold autoregressive (SETAR) models. Statistical tests have been proposed in the literature to help analysts check for the presence of SETARβtype nonlinearities in ob
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