Cargando…
Anomaly detection in Bitcoin market via price return analysis
The Bitcoin market becomes the focus of the economic market since its birth, and it has attracted wide attention from both academia and industry. Due to the absence of regulations in the Bitcoin market, it may be easier to bring some kinds of illegal behaviors. Thus, it raises an interesting questio...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6586302/ https://www.ncbi.nlm.nih.gov/pubmed/31220142 http://dx.doi.org/10.1371/journal.pone.0218341 |
_version_ | 1783428870762921984 |
---|---|
author | Shi, Fa-Bin Sun, Xiao-Qian Gao, Jin-Hua Xu, Li Shen, Hua-Wei Cheng, Xue-Qi |
author_facet | Shi, Fa-Bin Sun, Xiao-Qian Gao, Jin-Hua Xu, Li Shen, Hua-Wei Cheng, Xue-Qi |
author_sort | Shi, Fa-Bin |
collection | PubMed |
description | The Bitcoin market becomes the focus of the economic market since its birth, and it has attracted wide attention from both academia and industry. Due to the absence of regulations in the Bitcoin market, it may be easier to bring some kinds of illegal behaviors. Thus, it raises an interesting question: Is there abnormity or illegal behavior in Bitcoin platforms? To answer this question, we investigate the abnormity in five leading Bitcoin platforms. By analyzing the financial index, i.e. the normalized logarithmic price return, we find that the properties of price return in bitFlyer are completely different from others. To find the possible reasons, we find that the abnormal ask price and bid price appear simultaneously in bitFlyer, which may be potentially linked to either price manipulation or money laundering. It verifies our conjecture that there may be abnormity or price manipulation in Bitcoin platforms. Furthermore, our findings in price return could also provide an innovative and effective method to detect the abnormity in Bitcoin platforms. |
format | Online Article Text |
id | pubmed-6586302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-65863022019-06-28 Anomaly detection in Bitcoin market via price return analysis Shi, Fa-Bin Sun, Xiao-Qian Gao, Jin-Hua Xu, Li Shen, Hua-Wei Cheng, Xue-Qi PLoS One Research Article The Bitcoin market becomes the focus of the economic market since its birth, and it has attracted wide attention from both academia and industry. Due to the absence of regulations in the Bitcoin market, it may be easier to bring some kinds of illegal behaviors. Thus, it raises an interesting question: Is there abnormity or illegal behavior in Bitcoin platforms? To answer this question, we investigate the abnormity in five leading Bitcoin platforms. By analyzing the financial index, i.e. the normalized logarithmic price return, we find that the properties of price return in bitFlyer are completely different from others. To find the possible reasons, we find that the abnormal ask price and bid price appear simultaneously in bitFlyer, which may be potentially linked to either price manipulation or money laundering. It verifies our conjecture that there may be abnormity or price manipulation in Bitcoin platforms. Furthermore, our findings in price return could also provide an innovative and effective method to detect the abnormity in Bitcoin platforms. Public Library of Science 2019-06-20 /pmc/articles/PMC6586302/ /pubmed/31220142 http://dx.doi.org/10.1371/journal.pone.0218341 Text en © 2019 Shi et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Shi, Fa-Bin Sun, Xiao-Qian Gao, Jin-Hua Xu, Li Shen, Hua-Wei Cheng, Xue-Qi Anomaly detection in Bitcoin market via price return analysis |
title | Anomaly detection in Bitcoin market via price return analysis |
title_full | Anomaly detection in Bitcoin market via price return analysis |
title_fullStr | Anomaly detection in Bitcoin market via price return analysis |
title_full_unstemmed | Anomaly detection in Bitcoin market via price return analysis |
title_short | Anomaly detection in Bitcoin market via price return analysis |
title_sort | anomaly detection in bitcoin market via price return analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6586302/ https://www.ncbi.nlm.nih.gov/pubmed/31220142 http://dx.doi.org/10.1371/journal.pone.0218341 |
work_keys_str_mv | AT shifabin anomalydetectioninbitcoinmarketviapricereturnanalysis AT sunxiaoqian anomalydetectioninbitcoinmarketviapricereturnanalysis AT gaojinhua anomalydetectioninbitcoinmarketviapricereturnanalysis AT xuli anomalydetectioninbitcoinmarketviapricereturnanalysis AT shenhuawei anomalydetectioninbitcoinmarketviapricereturnanalysis AT chengxueqi anomalydetectioninbitcoinmarketviapricereturnanalysis |