EconPapers    
Economics at your fingertips  
 

Measurement of Connectedness and Frequency Dynamics in Global Natural Gas Markets

Tadahiro Nakajima and Yuki Toyoshima ()

Energies, 2019, vol. 12, issue 20, 1-15

Abstract: We examine spillovers among the North American, European, and Asia–Pacific natural gas markets based on daily data. We use daily natural gas price indexes from 2 February 2009 to 28 February 2019 for the Henry Hub, National Balancing Point, Title Transfer Facility, and Japan Korea Marker. The results of spillover analyses indicate the total connectedness of the return and volatility series to be 22.9% and 32.8%, respectively. In other words, volatility is more highly integrated than returns. The results of the spectral analyses indicate the spillover effect of the return series can largely be explained by short-term factors, while that of the volatility series can be largely explained by long-term factors. The results of the dynamic analyses with moving window samples do not indicate that global gas market liquidity increases with the increasing spillover index. However, the results identify the spillover effect fluctuation caused by demand and supply.

Keywords: spillover effect; market integration; natural gas market; time frequency dynamics (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://www.mdpi.com/1996-1073/12/20/3927/pdf (application/pdf)
https://www.mdpi.com/1996-1073/12/20/3927/ (text/html)

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:gam:jeners:v:12:y:2019:i:20:p:3927-:d:277263

Access Statistics for this article

Energies is currently edited by Prof. Dr. Enrico Sciubba

More articles in Energies from MDPI, Open Access Journal
Bibliographic data for series maintained by XML Conversion Team ().

 
Page updated 2019-11-24
Handle: RePEc:gam:jeners:v:12:y:2019:i:20:p:3927-:d:277263