Dynamic Connectedness and Fractal Connectivity Analysis Among Cryptocurrency, Innovative Technology Communication, and Fintech

20 Pages Posted: 20 Dec 2023

See all articles by Ata Assaf

Ata Assaf

University of Balamand

Ender Demir

Reykjavik University

Khaled Mokni

University of Gabes

Abstract

This study explores the dynamic connectedness and multivariate connectivity among Bitcoin, Innovative Technology Communication, and FinTech indices. We adopt both the TVP-VAR model and the wavelet-based multivariate long-memory approach. Bitcoin contributes/receives a low level of shocks from these sectors. Bitcoin is not connected much with these two sectors and their variations are mostly driven by idiosyncratic factors. Then, obtaining the fractal connectivity clustering provides new evidence of a similarity in fractal dynamic among the FinTech and Innovative Technology sectors, while Bitcoin is clustered away from the two sectors. When we use Ethereum, in place of Bitcoin, the results are identical.

Keywords: Innovative Technology Communication, Bitcoin, Ethereum, Fractal connectivity

Suggested Citation

Assaf, Ata and Demir, Ender and Mokni, Khaled, Dynamic Connectedness and Fractal Connectivity Analysis Among Cryptocurrency, Innovative Technology Communication, and Fintech. Available at SSRN: https://ssrn.com/abstract=4670623 or http://dx.doi.org/10.2139/ssrn.4670623

Ata Assaf

University of Balamand ( email )

Ender Demir (Contact Author)

Reykjavik University ( email )

Ofanleiti 2
Reykjavik, 103
Iceland

Khaled Mokni

University of Gabes ( email )

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
68
Abstract Views
305
Rank
727,338
PlumX Metrics