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In this paper, we study the asymptotic behavior of the sequential empirical process and the sequential empirical copula process, both constructed from residuals of multivariate stochastic volatility models. Applications for the detection of structural changes and specification tests of the...
Persistent link: https://www.econbiz.de/10011654178
In this paper, we consider and examine the performance of two-step LM unit root tests with trend-breaks. In the first step, we jointly test for the existence and location of breaks using a maximum F-test. In the second step, we utilize the identified breaks and test for a unit root. A...
Persistent link: https://www.econbiz.de/10009769986
In this study, we describe the problem of testing for the stability and persistence of the Phillips curve for Nigeria when there are nonstationarities in the marginal distribution of the regressors. We test for unknown break dates using the SupF, AvgF and ExpF approaches. After reviewing the...
Persistent link: https://www.econbiz.de/10011841042
fluctuations not forecasted by Gaussian models. This paper applies a resampling method based on the bootstrap and a bias … long and short positions. Our aim is to utilize the advantages of this model, but still use the bootstrap resampling method …
Persistent link: https://www.econbiz.de/10011632622
This paper employs weighted least squares to examine the risk-return relation by applying high-frequency data from four major stock indexes in the US market and finds some evidence in favor of a positive relation between the mean of the excess returns and expected risk. However, by using...
Persistent link: https://www.econbiz.de/10011555867
This paper proposes a class of partial cointegrated models allowing for structural breaks in the deterministic terms. Moving-average representations of the models are given. It is then shown that, under the assumption of martingale difference innovations, the limit distributions of partial...
Persistent link: https://www.econbiz.de/10012160757
A large number of nonlinear conditional heteroskedastic models have been proposed in the literature. Model selection is crucial to any statistical data analysis. In this article, we investigate whether the most commonly used selection criteria lead to choice of the right specification in a...
Persistent link: https://www.econbiz.de/10011297653
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