A practical multivariate approach to testing volatility spillover
Soon Heng Leong and
Giovanni Urga
Journal of Economic Dynamics and Control, 2023, vol. 153, issue C
Abstract:
We propose an asymptotic N(0,1) inferential strategy to test for volatility spillover between markets consisting of multiple sectors. First, we use nonparametric kernel method to derive test statistics that assign flexible weight to each lag order and are able to check a growing number of lags as the sample size increases. Second, we propose a practical multivariate volatility modeling approach — which enjoys estimation consistency and simplicity — to facilitate higher dimensional spillover testing. Simulations show the reasonable finite sample performance of the proposed econometric strategy in a relatively large system. An empirical application highlights the merits of the proposed approach.
Keywords: Granger causality in variance; Infinite autoregression; Multivariate analysis; Risk management (search for similar items in EconPapers)
JEL-codes: C12 C32 C51 F65 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165188923001008
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:dyncon:v:153:y:2023:i:c:s0165188923001008
DOI: 10.1016/j.jedc.2023.104694
Access Statistics for this article
Journal of Economic Dynamics and Control is currently edited by J. Bullard, C. Chiarella, H. Dawid, C. H. Hommes, P. Klein and C. Otrok
More articles in Journal of Economic Dynamics and Control from Elsevier
Bibliographic data for series maintained by Catherine Liu ().