Cryptocurrency fraud and its effects on price volatility in the cryptocurrency market

Purpose This study aims to examine the effect of cryptocurrency frauds on the price fluctuations of the cryptocurrency market. Design/methodology/approach To examine the effects of cryptocurrency frauds on cryptocurrency market, the authors have collected data of 38 cryptocurrencies price fluctuations between 01/01/2020 and 28/11/2021. The authors have used the multidimensional scaling method (MDS) to explore the price fluctuations of the cryptocurrency market and its relationship with the cryptocurrency market between 2020 and 2021. Findings The study results showed that even though cryptocurrencies are categorised into Bitcoin, Altcoins and Stablecoins, the effect of the frauds is specific to their usage cases. Bitcoin and certain Altcoins were affected in a certain way compared to Ethereum and cryptocurrencies specialised in smart contracts. Cryptocurrencies such as Tron and Elrond with the specifications of staking had a different reaction and cryptocurrencies that contribute to the development and enhancement of blockchain infrastructure had a different reaction throughout these incidents. Stablecoins, however, were unaffected by the fraud incidents because of their reliability and their correlation to real assets such as fiat money, petrol and gold. Practical implications The study enables financial institutions to understand how to react to cryptocurrencies, which are both an opportunity and a challenge for them. Consequently, banks should strengthen their security measures to protect customer funds from the risks associated with fraud and cyber-attacks. They should also implement risk management measures and guarantee the integrity of their systems to ensure stability and confidence in the use of cryptocurrencies. In addition, institutions should work in collaboration with the authorities to overcome regulatory challenges and create a favourable framework for the use of cryptocurrencies. Originality/value The main contribution of this paper is to examine this topic, which has been very little explored in previous work. The lack of theoretical and empirical evidence concerning this study represented a challenge, and an originality as studies concerning cryptocurrency fraud are limited, if not non-existent. The second contribution is quantitative and uses a MDS to examine price fluctuations in the cryptocurrency market and its relationship with the cryptocurrency market.

Authors

Publication Details

Journal
Journal of Chinese Economic and Foreign Trade Studies
Published
2025-03-24
DOI
https://doi.org/10.1108/jcefts-05-2024-0034
Citations
5
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
16.23
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cryptocurrency fraud and its effects on price volatility in the cryptocurrency market

Wided Khiari, Amira Neffati, Azhaar Lajmi, Ahmed El Fahem
5 citations
Journal of Chinese Economic and Foreign Trade Studies
Blockchain Technology Applications and Security
16.23
article

Cryptocurrency fraud and its effects on price volatility in the cryptocurrency market

Wided Khiari, Amira Neffati, Azhaar Lajmi, Ahmed El Fahem
article en
5 citations

Abstract

Purpose This study aims to examine the effect of cryptocurrency frauds on the price fluctuations of the cryptocurrency market. Design/methodology/approach To examine the effects of cryptocurrency frauds on cryptocurrency market, the authors have collected data of 38 cryptocurrencies price fluctuations between 01/01/2020 and 28/11/2021. The authors have used the multidimensional scaling method (MDS) to explore the price fluctuations of the cryptocurrency market and its relationship with the cryptocurrency market between 2020 and 2021. Findings The study results showed that even though cryptocurrencies are categorised into Bitcoin, Altcoins and Stablecoins, the effect of the frauds is specific to their usage cases. Bitcoin and certain Altcoins were affected in a certain way compared to Ethereum and cryptocurrencies specialised in smart contracts. Cryptocurrencies such as Tron and Elrond with the specifications of staking had a different reaction and cryptocurrencies that contribute to the development and enhancement of blockchain infrastructure had a different reaction throughout these incidents. Stablecoins, however, were unaffected by the fraud incidents because of their reliability and their correlation to real assets such as fiat money, petrol and gold. Practical implications The study enables financial institutions to understand how to react to cryptocurrencies, which are both an opportunity and a challenge for them. Consequently, banks should strengthen their security measures to protect customer funds from the risks associated with fraud and cyber-attacks. They should also implement risk management measures and guarantee the integrity of their systems to ensure stability and confidence in the use of cryptocurrencies. In addition, institutions should work in collaboration with the authorities to overcome regulatory challenges and create a favourable framework for the use of cryptocurrencies. Originality/value The main contribution of this paper is to examine this topic, which has been very little explored in previous work. The lack of theoretical and empirical evidence concerning this study represented a challenge, and an originality as studies concerning cryptocurrency fraud are limited, if not non-existent. The second contribution is quantitative and uses a MDS to examine price fluctuations in the cryptocurrency market and its relationship with the cryptocurrency market.

Journal of Chinese Economic and Foreign Trade StudiesVol. 18(2)
Openalex Percentile: Top 1%
Blockchain Technology Applications and Security
16.23
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.