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High-frequency jump tests : which test should we use?

Maneesoonthorn, Worapree; Martin, Gael M.; Forbes, … - 2020 - (Revised working paper 17/18)

Persistent link: https://www.econbiz.de/10012606872

Testing for jumps based on high-frequency data : a method exploiting microstructure noise

Liu, Guangying; Xiang, Jing; Cang, Yuquan - In: Quantitative finance 20 (2020) 11, pp. 1795-1809

Persistent link: https://www.econbiz.de/10012313515

High-frequency jump tests : which test should we use?

Maneesoonthorn, Worapree; Martin, Gael M.; Forbes, … - In: Journal of econometrics 219 (2020) 2, pp. 478-487

Persistent link: https://www.econbiz.de/10012483405

A new statistic and practical guidelines for nonparametric Granger causality testing

Diks, Cees G. H.; Panchenko, Valentyn - In: Journal of economic dynamics & control 30 (2006) 9/10, pp. 1647-1669

Persistent link: https://www.econbiz.de/10003370351

Detecting serial dependence in tail events

Diks, Cees G. H. - 2002

A test for serial independence is proposed which is related to the BDS test but focuses on tail event probabilities rather than probabilities near the center of the distribution. The motivation behind this approach is to obtain a test more suitable for detecting structure in the tails, such as...

Persistent link: https://www.econbiz.de/10011327543

Nonparametric test for a constant beta over a fixed time interval

Reiß, Markus; Todorov, Viktor; Tauchen, George Eugene - 2014

We derive a nonparametric test for constant (continuous) beta over a fixed interval of time. Continuous beta is defined as the ratio of the continuous covariation between an asset and observable risk factor (e.g., the market return) and the continuous variation of the latter. Our test is based...

Persistent link: https://www.econbiz.de/10010253467

Nonparametric change-point analysis of volatility

Bibinger, Markus; Jirak, Moritz; Vetter, Mathias - 2015

This work develops change-point methods for statistics of high-frequency data. The main interest is the volatility of … discriminate different smoothness classes of the underlying stochastic volatility process. In a high-frequency framework we prove … extremely mild smoothness assumptions on the stochastic volatility we thereby derive a consistent test for volatility jumps. A …

Persistent link: https://www.econbiz.de/10010477582