Detecting changes from short to long memory
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Publication:657089
DOI10.1007/s00362-009-0292-yzbMath1284.62525OpenAlexW1972327446MaRDI QIDQ657089
Publication date: 13 January 2012
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-009-0292-y
Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Economic time series analysis (91B84) Non-Markovian processes: hypothesis testing (62M07) Asymptotic properties of parametric tests (62F05)
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Cites Work
- Tests of stationarity against a change in persistence
- Modified tests for a change in persistence
- Testing for a break in persistence under long-range dependencies
- Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation
- Testing the null hypothesis of stationarity against the alternative of a unit root. How sure are we that economic time series have a unit root?
- Alternative forms of fractional Brownian motion
- Weak convergence of multivariate fractional processes
- Long memory versus structural breaks: an overview
- Inference for unstable long-memory processes with applications to fractional unit root autoregressions
- On the power of the KPSS test of stationarity against fractionally-integrated alternatives
- Detection of change in persistence of a linear time series
- THE FUNCTIONAL CENTRAL LIMIT THEOREM AND WEAK CONVERGENCE TO STOCHASTIC INTEGRALS II
- Comparisons of Tests for the Presence of Random Walk Coefficients in a Simple Linear Model
- A PROOF OF THE POWER OF KIM'S TEST AGAINST STATIONARY PROCESSES WITH STRUCTURAL BREAKS
- Bayesian methods for change-point detection in long-range dependent processes
- Fractional integration and structural breaks at unknown periods of time
- Testing for a change of the long-memory parameter
- LEAST SQUARES ESTIMATION OF A SHIFT IN LINEAR PROCESSES
- CUSUM of Squares‐Based Tests for a Change in Persistence