Graph Theory Approach to Prices Transmission in the Network of Commonly Used Liquid Fuels
Karel Janda,
Barbora Schererova,
Jan Sila and
David Zilberman
Additional contact information
Barbora Schererova: Faculty of Finance and Accounting, Prague University of Economics and Business, Czech Republic
No 2023/22, Working Papers IES from Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies
Abstract:
We analyze the relationships within the liquid fuels system and its associated supply chain using innovative network filtering methods, namely the Minimum Spanning Tree and Triangulated Maximally Filtered Graph. Our findings reveal that biofuels form robust connections with their feedstocks that intensify during periods of economic or legislative uncertainty. Conversely, fossil fuels form detached clusters primarily influenced by global economic conditions. These insights significantly enhance our understanding of the liquid fuels market dynamics and suggest potential avenues for integrating additional liquid fuels into the supply chain network.
Keywords: fossil fuels; biofuels; crude oil; complex network analysis; community detection; triangulated maximally filtered graph; minimum spanning tree; relationship analysis (search for similar items in EconPapers)
JEL-codes: C38 Q41 Q55 (search for similar items in EconPapers)
Pages: 23 pages
Date: 2023-07, Revised 2023-07
New Economics Papers: this item is included in nep-ene and nep-env
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ies.fsv.cuni.cz/en/research/working-papers/2023-22 (application/pdf)
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:fau:wpaper:wp2023_22
Access Statistics for this paper
More papers in Working Papers IES from Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies Contact information at EDIRC.
Bibliographic data for series maintained by Natalie Svarcova (teditor.ies@fsv.cuni.cz).