Analysis of cryptocurrency connectedness based on network to transaction volume ratios
Christian Hafner and
Sabrine Majeri
Additional contact information
Sabrine Majeri: UCLouvain
Digital Finance, 2022, vol. 4, issue 2, No 11, 187-216
Abstract:
Abstract Network to Transaction (NVT) ratio is a measure that describes the relationship between transaction volume and market capitalization, and that may serve as an indicator for the valuation of a cryptocurrency. We build a connectedness network connecting 39 cryptocurrencies based on mutual contributions to the variances of forecast errors for NVT ratios. We find that NVT connectedness is not related to market capitalization, as we have large and small cryptocurrencies by market cap that propagate large NVT shocks (e.g. Litecoin, Dogecoin, Bitcoin Cash(bch), OMG Network and Decentraland). The largest transmitter of NVT shocks is OMG Network, which receives little public attention. Cryptocurrencies relying on proof of stake as a consensus mechanism are the smallest receivers of NVT spillovers from other cryptocurrencies. These assets are also the least interconnected, which makes them attractive from a risk diversification point of view. This complements the energy efficiency of PoS compared with proof of work.
Keywords: Vector autoregressions; ICA; LASSO; Networks; Cryptocurrencies (search for similar items in EconPapers)
JEL-codes: C14 C43 Z11 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s42521-022-00054-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
Working Paper: Analysis of cryptocurrency connectedness based on network to transaction volume ratios (2022)
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:digfin:v:4:y:2022:i:2:d:10.1007_s42521-022-00054-w
Ordering information: This journal article can be ordered from
https://www.springer.com/finance/journal/42521
DOI: 10.1007/s42521-022-00054-w
Access Statistics for this article
Digital Finance is currently edited by Wolfgang Karl Härdle, Steven Kou and Min Dai
More articles in Digital Finance from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().