Fundamental and Speculative Components of the Cryptocurrency Pricing Dynamics

This is a pre-print of an article published in Financial Innovation (2023). The final authenticated version is available online at DOI: doi.org/10.1186/s40854-023-00465-7 (Open Access)

24 Pages Posted: 24 Jun 2022 Last revised: 2 May 2024

See all articles by Jiri Kukacka

Jiri Kukacka

Charles University - Institute of Economic Studies; Academy of Sciences of the Czech Republic

Ladislav Kristoufek

Charles University in Prague; Institute of Information Theory and Automation, Prague

Date Written: February 5, 2023

Abstract

The driving forces behind cryptoassets' price dynamics are often perceived as being dominated by speculative factors and inherent bubble-bust episodes. Fundamental components are believed to have a weak, if any, role in the price-formation process. This study examines five cryptoassets with different backgrounds, namely Bitcoin, Ethereum, Litecoin, XRP, and Dogecoin between 2016 and 2022. It utilizes the cusp catastrophe model to connect the fundamental and speculative drivers with possible price bifurcation characteristics of market collapse events. The findings show that the price and return dynamics of all the studied assets, except for Dogecoin, emerge from complex interactions between fundamental and speculative components, including episodes of price bifurcations. Bitcoin shows the strongest fundamentals, with on-chain activity and economic factors driving the fundamental part of the dynamics. Investor attention and off-chain activity drive the speculative component for all studied assets. Among the fundamental drivers, the analyzed cryptoassets present their coin-specific factors, which can be tracked to their protocol specifics and are economically sound.

Keywords: cryptocurrency, Bitcoin, cusp catastrophe model, crash

JEL Classification: C52, G12

Suggested Citation

Kukacka, Jiri and Kristoufek, Ladislav and Kristoufek, Ladislav, Fundamental and Speculative Components of the Cryptocurrency Pricing Dynamics (February 5, 2023). This is a pre-print of an article published in Financial Innovation (2023). The final authenticated version is available online at DOI: doi.org/10.1186/s40854-023-00465-7 (Open Access), Available at SSRN: https://ssrn.com/abstract=4133394 or http://dx.doi.org/10.2139/ssrn.4133394

Jiri Kukacka (Contact Author)

Charles University - Institute of Economic Studies ( email )

Opletalova 26
Prague 1, CZ-11000
Czech Republic

HOME PAGE: http://ies.fsv.cuni.cz/en/contacts/people/58305408

Academy of Sciences of the Czech Republic ( email )

Pod Vodarenskou vezi 4
Prague 8, CZ-18200
Czech Republic

HOME PAGE: http://www.utia.cas.cz/people/kukacka

Ladislav Kristoufek

Charles University in Prague ( email )

Celetná 13
Praha 1, 116 36
Czech Republic

Institute of Information Theory and Automation, Prague ( email )

Pod vodarenskou vezi 4
Praha, CZ-18208
Czech Republic

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