Telling tales from the tails: high-dimensional tail interdependence

Polanski, Arnold ORCID: https://orcid.org/0000-0001-9146-6364, Stoja, Evarist and Windmeijer, Frank (2019) Telling tales from the tails: high-dimensional tail interdependence. Journal of Applied Econometrics, 34 (5). pp. 779-794. ISSN 0883-7252

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Abstract

We propose a simple and flexible framework that allows for a comprehensive analysis of tail interdependence in high dimensions. We use co-exceedances to capture the structure of the dependence in the tails and, relying on the concept of multiinformation, define the coefficient of tail interdependence. Within this framework, we develop statistical tests of (i) independence in the tails, (ii) goodness-of-fit of the tail interdependence structure of a hypothesized model with the one observed in the data, and (iii) dependence symmetry between any two tails. We present an analysis of tail interdependence among 250 constituents of the SP250 index.

Item Type:	Article
Uncontrolled Keywords:	co-exceedance,tail interdependence,high dimensions
Faculty \ School:	Faculty of Social Sciences > School of Economics
UEA Research Groups:	Faculty of Social Sciences > Research Groups > Economic Theory Faculty of Social Sciences > Research Groups > Applied Econometrics And Finance
Depositing User:	LivePure Connector
Date Deposited:	06 Feb 2019 16:30
Last Modified:	29 Jan 2023 06:30
URI:	https://ueaeprints.uea.ac.uk/id/eprint/69862
DOI:	10.1002/jae.2708

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