Tail risk spillover network among green bond, energy and agricultural markets under extreme weather scenarios

Jianhao Xue, Xingyu Dai, Dongna Zhang, Xuan-Hoa Nghiem and Qunwei Wang

International Review of Economics & Finance, 2024, vol. 96, issue PC

Abstract: This paper explores the tail risk spillover patterns among eight US green bond, energy, and agricultural commodity markets conditional on different extreme weather conditions, using a proposed conditional tail Diebold Yilmaz spillover network. The results of the empirical analysis, conducted using data from 2013 to 2023, indicates that, firstly, as weather conditions transit from normal to extreme risk state, the complexity and magnitude of tail risk spillovers increase, particularly affecting the relationships between different markets and sectors. Under most extreme weather risk scenarios, the energy market predominantly acts as a risk transmitter. Conversely, the agricultural market, more often emerges as a risk receiver. Secondly, of all the extreme weather scenarios considered, the US commodity markets achieve lowest in total risk spillover (TRS) in the extreme snow weather scenarios and this is the only case that is almost no more than the unconditional weather scenario over the sample period. Finally, the tail returns of most US commodity markets are more sensitive to tail movements in extreme total precipitation and extreme runoff weather conditions.

Keywords: US commodity market; Extreme weather scenario; Systemic risk; Tail spillover risk network; Vine-copula model (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1059056024006993
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:reveco:v:96:y:2024:i:pc:s1059056024006993

DOI: 10.1016/j.iref.2024.103707

Access Statistics for this article

International Review of Economics & Finance is currently edited by H. Beladi and C. Chen

More articles in International Review of Economics & Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().