Herding Behavior in the Market for Clean and Dirty Cryptocurrencies

In this article, we study the herding behavior of two types of cryptocurrencies, called dirty and clean, based on their energy consumption levels. Empirical results reveal that herding behavior generally only exists in the dirty cryptocurrency market and is more pronounced during bear market periods, high trading volume days, and high trading days. volatility. Moreover, we observe herding behavior in the cryptocurrency market only during the period of the Covid-19 pandemic.

Authors

Publication Details

Journal
African Journal of Accounting and Financial Research
Published
2025-04-03
DOI
https://doi.org/10.52589/ajafr-9hc5apxw
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Herding Behavior in the Market for Clean and Dirty Cryptocurrencies

Mohamed Aymen Ben Moussa, Aissa Hadj Brahim, Amira Feidi
African Journal of Accounting and Financial Research
Blockchain Technology Applications and Security
article

Herding Behavior in the Market for Clean and Dirty Cryptocurrencies

Mohamed Aymen Ben Moussa, Aissa Hadj Brahim, Amira Feidi
article en

Abstract

In this article, we study the herding behavior of two types of cryptocurrencies, called dirty and clean, based on their energy consumption levels. Empirical results reveal that herding behavior generally only exists in the dirty cryptocurrency market and is more pronounced during bear market periods, high trading volume days, and high trading days. volatility. Moreover, we observe herding behavior in the cryptocurrency market only during the period of the Covid-19 pandemic.

African Journal of Accounting and Financial ResearchVol. 8(1)
Openalex Percentile: Top 92%
Blockchain Technology Applications and Security
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Herding Behavior in the Market for Clean and Dirty Cryptocurrencies — Mohamed Aymen Ben Moussa, Aissa Hadj Brahim, et al. · African Journal of Accounting and Financial Research (2025) | TGRS Research Map | TGRS