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In this paper we derive a quantile regression approach to formally test for long memory in time series. We propose both individual and joint quantile tests which are useful to determine the order of integration along the different percentiles of the conditional distribution and, therefore, allow...
Persistent link: https://www.econbiz.de/10010552216
Certain ”spurious long memory” processes mimic the behavior of fractional integration in that the variance of their sample mean behaves like that of a fractionally integrated process of some order D. We show, however, experimentally that a fractional integration test may discriminate between...
Persistent link: https://www.econbiz.de/10010833997
Persistent link: https://www.econbiz.de/10008325209
Certain “spurious long memory” processes mimic the behavior of fractional integration in that the variance of their sample mean behaves like that of a fractionally integrated process of some order D. We show, however, experimentally that a fractional integration test may discriminate between...
Persistent link: https://www.econbiz.de/10011116276
Testing for unit roots in short-term interest rates plays a key role in the empirical modelling of these series. It is widely assumed that the volatility of interest rates follows some time-varying function which is dependent of the level of the series. This may cause distortions in the...
Persistent link: https://www.econbiz.de/10005212567
Persistent link: https://www.econbiz.de/10005355499
This paper focuses on the analytical discussion of a robust t-test for predictability and on the analysis of its finite-sample properties. Our analysis shows that the procedure proposed exhibits approximately correct size even in fairly small samples. Furthermore, the test is well-behaved under...
Persistent link: https://www.econbiz.de/10009319004
Persistent link: https://www.econbiz.de/10006749622
Persistent link: https://www.econbiz.de/10007795263
This paper discusses the asymptotic and finite-sample properties of CUSUM-based tests for detecting structural breaks in volatility in the presence of stochastic contamination, such as additive outliers or measurement errors. This analysis is particularly relevant for financial data, on which...
Persistent link: https://www.econbiz.de/10008524255