Artikel

Lead behaviour in Bitcoin markets

We aim to understand the dynamics of Bitcoin blockchain trading volumes and, specifically, how different trading groups, in different geographic areas, interact with each other. To achieve this aim, we propose an extended Vector Autoregressive model, aimed at explaining the evolution of trading volumes, both in time and in space. The extension is based on network models, which improve pure autoregressive models, introducing a contemporaneous contagion component that describes contagion effects between trading volumes. Our empirical findings show that transactions activities in bitcoins is dominated by groups of network participants in Europe and in the United States, consistent with the expectation that market interactions primarily take place in developed economies.

Language
Englisch

Bibliographic citation
Journal: Risks ; ISSN: 2227-9091 ; Volume: 8 ; Year: 2020 ; Issue: 1 ; Pages: 1-14 ; Basel: MDPI

Classification
Wirtschaft
Subject
bitcoin markets
bitcoin trading volumes
network models

Event
Geistige Schöpfung
(who)
Chen, Ying
Giudici, Paolo
Hadji Misheva, Branka
Trimborn, Simon
Event
Veröffentlichung
(who)
MDPI
(where)
Basel
(when)
2020

DOI
doi:10.3390/risks8010004
Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Chen, Ying
  • Giudici, Paolo
  • Hadji Misheva, Branka
  • Trimborn, Simon
  • MDPI

Time of origin

  • 2020

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