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Bootstrap LR Tests of Stationarity, Common Trends and Cointegration

Busetti, Fabio - 2011

The paper considers likelihood ratio (LR) tests of stationarity, common trends and cointegration for multivariate time … power gains of the bootstrap LR test are significantly larger for testing the hypothesis of common trends and cointegration …

Persistent link: https://www.econbiz.de/10013125622

Spurious relationships for nearly non-stationary series

Cheng, Yushan; Hui, Yongchang; McAleer, Michael; Wong, … - In: Journal of risk and financial management : JRFM 14 (2021) 8, pp. 1-24

Literature shows that the regression of independent and (nearly) nonstationary time series could result in spurious outcomes. In this paper, we conjecture that under some situations, the regression of two independent and nearly non-stationary series does not have any spurious problem at all. To...

Persistent link: https://www.econbiz.de/10012626690

Testing stochastic cycles in macroeconomic time series

Gil-Alaña, Luis A. - 2000

A particular version of the tests of Robinson (1994) for testing stochastic cycles in macroeconomic time series is proposed in this article. The tests have a standard limit distribution and are easy to implement in raw time series. A Monte Carlo experiment is conducted, studying the size and the...

Persistent link: https://www.econbiz.de/10009611541

Inference on the long-memory properties of time series with non-stationary volatility

Demetrescu, Matei; Sibbertsen, Philipp - 2014

Many time series exhibit unconditional heteroskedasticity, often in addition to conditional one. But such time-varying volatility of the data generating process can have rather adverse effects when inferring about its persistence; e.g. unit root and stationarity tests possess null distributions...

Persistent link: https://www.econbiz.de/10010375374

Why frequency matters for unit root testing

Boswijk, Herman Peter; Klaassen, Franc - 2004 - Rev.

recent work on unit root and cointegration testing based non-Gaussian likelihood functions. The essential idea is that such …

Persistent link: https://www.econbiz.de/10011342578

Understanding temporal aggregation effects on kurtosis in financial indices

Lieberman, Offer; Phillips, Peter C. B. - 2018

Indices of ﬁnancial returns typically display sample kurtosis that declines towards the Gaussian value 3 as the sampling interval increases. This paper uses stochastic unit root (STUR) and continuous time analysis to explain the phenomenon. Limit theory for the sample kurtosis reveals that...

Persistent link: https://www.econbiz.de/10011948760

Multistep forecast averaging with stochastic and deterministic trends

Kejriwal, Mohitosh; Nguyen, Linh; Yu, Xuewen - In: Econometrics : open access journal 11 (2023) 4, pp. 1-43

This paper presents a new approach to constructing multistep combination forecasts in a nonstationary framework with stochastic and deterministic trends. Existing forecast combination approaches in the stationary setup typically target the in-sample asymptotic mean squared error (AMSE), relying...

Persistent link: https://www.econbiz.de/10014507838

Spurious regression, cointegration, and near cointegration : a unifying approach

Haldrup, Niels; Jansson, Michael - 1999

cointegration are provided. As a first application, we give analyticalcorroboration of the conjecture that the finite sample … coefficient. Hence, the notionof near cointegration helps to bridge the gap between the polar cases ofspurious regression and … cointegration. Secondly, we characterize theproperties of conventional cointegration methods under near cointegration …

Persistent link: https://www.econbiz.de/10011300555

Inference on the dimension of the nonstationary subspace in functional time series

Nielsen, Morten Ørregaard; Seo, Wonk-ki; Seong, Dakyung - 2022

Persistent link: https://www.econbiz.de/10012816384

Cointegrated dynamics for a generalized long memory process : application to interest rates

Asai, Manabu; Peiris, Shelton; McAleer, Michael; Allen, … - In: Journal of time series econometrics 12 (2020) 1, pp. 1-18

Persistent link: https://www.econbiz.de/10012258310