EconPapers    
Economics at your fingertips  
 

Volatility Contagion Between Crude Oil and G7 Stock Markets in the Light of Trade Wars and COVID-19: A TVP-VAR Extended Joint Connectedness Approach

Ioannis Chatziantoniou, Christos Floros and David Gabauer

Chapter Chapter 6 in Applications in Energy Finance, 2022, pp 145-168 from Springer

Abstract: Abstract We investigate volatility contagion across G7 stock markets and the market for crude oil for the period between 2007 and 2021. Following the work of Balcilar et al. (2021), we utilise the TVP-VAR extended joint connectedness method and compare results to the standard TVP-VAR method that predicates upon the normalisation approach by Diebold and Yılmaz (2009, 2012, 2014). Both methods provide qualitatively similar results. Overall, findings suggest that connectedness in this network is highly responsive to events that greatly affect international financial markets and assume large values across the sample period. Prominent among our results is that the crude oil market is an important net transmitter of volatility shocks across the network during the 2014 oil collapse period. In addition, the period from the beginning of 2018 and until mid-2019 is a rather turbulent period for stock markets a fact which is reflected upon the net receiving character of the market for crude oil. Finally, we show that the Canadian stock market is a persistent net transmitter of volatility in recent years, following developments in international trade and the outbreak of the COVID-19 crisis.

Keywords: Volatility contagion; Crude oil; G7 stock markets; TVP-VAR extended joint connectedness; Trade wars; COVID-19; C5; C32; F3; F4; G15 (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (4)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:sprchp:978-3-030-92957-2_6

Ordering information: This item can be ordered from
http://www.springer.com/9783030929572

DOI: 10.1007/978-3-030-92957-2_6

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-23
Handle: RePEc:spr:sprchp:978-3-030-92957-2_6