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Heteroskedasticity-and-autocorrelation-consistent bootstrapping
Davidson, Russell; Monticini, Andrea - 2014
disturbances,where the heteroskedasticity and autocorrelation are of unknown form. A particular version of the wild bootstrap can … dependent wild bootstrap. Here, we extend this new method, and link it to the well-known HAC covariance estimator, in much the … same way as one can link the wild bootstrap to the HCCME. It works very well even with sample sizes smaller than 50, and …
Persistent link: https://www.econbiz.de/10011774249
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Small sample adjustment for hypotheses testing on cointegrating vectors
Canepa, Alessandra - In: Journal of time series econometrics 14 (2022) 1, pp. 51-85
Persistent link: https://www.econbiz.de/10013260145
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Distinguishing between long-range dependence and deterministic trends
Sibbertsen, Philipp; Venetis, Ioannis - 2003
We provide a method for distinguishing long-range dependence from deterministic trends such as structural breaks. The method is based on the comparison of standard log-periodogram regression estimation of the memory parameter with its tapered counterpart. The difference of these estimators...
Persistent link: https://www.econbiz.de/10010306228
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Distinguishing between long-range dependence and deterministic trends
Sibbertsen, Philipp; Venetis, Ioannis - 2003
We provide a method for distinguishing long-range dependence from deterministic trends such as structural breaks. The method is based on the comparison of standard log-periodogram regression estimation of the memory parameter with its tapered counterpart. The difference of these estimators...
Persistent link: https://www.econbiz.de/10010509839
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Estimation and inference for varying-coeffcient models with nonstationary regressors using penalized splines
Chen, Haiqiang; Fang, Ying; Li, Yingxing - 2013
This paper considers estimation and inference for varying-coefficient models with nonstationary regressors. We propose a nonparametric estimation method using penalized splines, which achieves the same optimal convergence rate as kernel-based methods, but enjoys computation advantages. Utilizing...
Persistent link: https://www.econbiz.de/10009767261
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A combined nonparametric test for seasonal unit roots
Kunst, Robert M. - 2014
Nonparametric unit-root tests are a useful addendum to the tool-box of time-series analysis. They tend to trade off power for enhanced robustness features. We consider combinations of the RURS (seasonal range unit roots) test statistic and a variant of the level-crossings count. This combination...
Persistent link: https://www.econbiz.de/10010252130
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Fund-of-Funds Construction by Statistical Multiple Testing Methods
Wolf, Michael; Wunderli, Dan - 2009
-weighted or the global minimum variance portfolio of the outperforming funds is held for one year, after which the selection …
Persistent link: https://www.econbiz.de/10014203754
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A nonparametric test for seasonal unit roots
Kunst, Robert M. - 2009
We consider a nonparametric test for the null of seasonal unit roots in quarterly time series that builds on the RUR (records unit root) test by Aparicio, Escribano, and Sipols. We find that the test concept is more promising than a formalization of visual aids such as plots by quarter. In order...
Persistent link: https://www.econbiz.de/10009735343
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Efficient Semiparametric Detection of Changes in Trend
Goh, Chuan - 2009
This paper proposes a test for the correct specification of a dynamic time-series model that is taken to be stationary about a deterministic linear trend function with no more than a finite number of discontinuities in the vector of trend coefficients. The test avoids the consideration of...
Persistent link: https://www.econbiz.de/10012720581
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(Consistently) Testing Strict Exogeneity Against the Alternative of Predeterminedness in Linear Time-Series Models
Mayer, Alexander - 2020
A portmanteau- and a maximum statistic are proposed to discern the null hypothesis of strict exogeneity from its alternative of predeterminedness in a linear model with shortmemory errors. Both test statistics rely on the vector-valued residual cross-correlation function, suitably pre-whitened...
Persistent link: https://www.econbiz.de/10012846178