A nonparametric test for granger causality in distribution with application to financial contagion
Year of publication: |
April 2016
|
---|---|
Authors: | Candelon, Bertrand ; Tokpavi, Sessi |
Published in: |
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association. - Alexandria, Va. : American Statistical Association, ISSN 0735-0015, ZDB-ID 876122-X. - Vol. 34.2016, 2, p. 240-253
|
Subject: | Financial spillover | Kernel-based test | Tails | Kausalanalyse | Causality analysis | Nichtparametrisches Verfahren | Nonparametric statistics | Ansteckungseffekt | Contagion effect | Statistischer Test | Statistical test | Spillover-Effekt | Spillover effect | Theorie | Theory | Finanzkrise | Financial crisis | Statistische Verteilung | Statistical distribution | Zeitreihenanalyse | Time series analysis |
-
Nonparametric tests for conditional independence
Su, Liangjun, (2004)
-
Two-sample testing for tail copulas with an application to equity indices
Can, Sami Umut, (2021)
-
Bekiros, Stelios D., (2014)
- More ...
-
A Nonparametric Test for Grangercausality in Distribution with Application to Financial Contagion
Candelon, Bertrand, (2014)
-
Testing for crude oil markets globalization during extreme price movements
Joëts, Marc, (2012)
-
Testing for Granger causality in distribution tails: An application to oil markets integration
Candelon, Bertrand, (2013)
- More ...