Showing 1 - 10 of 88
The authors consider the situation in which two forecasts of the same variable are available. The possibility exists of forming a combined forecast as a weighted average of the individual ones and estimation the weights that should be optimally attached to each forecast. If the entire weight...
Persistent link: https://www.econbiz.de/10005430039
We show that a standard unit root test that permits an endogenously determined break in level can generate spurious rejections in practically interesting sample sizes when a large break occurs under the null hypothesis. This problem, which occurs for breaks of the innovational outlier type, can...
Persistent link: https://www.econbiz.de/10005276694
We consider tests of forecast encompassing for probability forecasts, for both quadratic and logarithmic scoring rules. We propose test statistics for the null of forecast encompassing, present the limiting distributions of the test statistics, and investigate the impact of estimating the...
Persistent link: https://www.econbiz.de/10005368545
In this paper, the authors suggest a new and consistent procedure designed to test for the presence of unit roots in quarterly time series, be they at the zero or seasonal frequencies. For each frequency, the proposed statistic is based on the correlogram of a transformation (which removes unit...
Persistent link: https://www.econbiz.de/10005251926
Persistent link: https://www.econbiz.de/10005186657
Persistent link: https://www.econbiz.de/10008404497
In this paper we derive, under the assumption of Gaussian errors with known error covariance matrix, asymptotic local power bounds for seasonal unit root tests for both known and unknown deterministic scenarios and for an arbitrary seasonal aspect. We demonstrate that the optimal test of a unit...
Persistent link: https://www.econbiz.de/10005744309
This paper considers the problem of testing for and dating changes (at unknown points) in the order of integration of a time series between different trend-stationary and difference-stationary regimes. While existing procedures in the literature are designed for processes displaying only a...
Persistent link: https://www.econbiz.de/10005751379
In this paper we develop a simple procedure which delivers tests for the presence of a broken trend in a univariate time series which do not require knowledge of the form of serial correlation in the data and are robust as to whether the shocks are generated by an I(0) or an I(1) process. Two...
Persistent link: https://www.econbiz.de/10005607559
In this paper we derive, under the assumption of Gaussian errors with known error covariance matrix, asymptotic local power bounds for seasonal unit root tests for both known and unknown deterministic scenarios and for an arbitrary seasonal aspect. We demonstrate that the optimal test of a unit...
Persistent link: https://www.econbiz.de/10005607560