Cryptocurrency Financial Risk Analysis using Machine Learning
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Research Paper | Information Technology | India | Volume 12 Issue 4, April 2023 | Popularity: 4.9 / 10


     

Cryptocurrency Financial Risk Analysis using Machine Learning

Tanya Kapoor, Laxmi Ahuja


Abstract: Cryptocurrency is a form of digital currency that relies on cryptography to maintain and verify transactions, instead of a centralized authority. However, this decentralized nature can lead to several risks that can impact the assessments carried out by risk auditors. Money laundering is a significant financial risk associated with the growing popularity of cryptocurrency. This paper proposes a machine learning - based approach that uses Hierarchical Risk Parity and unsupervised machine learning to analyse the financial risk associated with cryptocurrency markets. The study finds that machine learning algorithms can effectively capture the complex relationships between variables and provide accurate risk management. The study underscores the potential of machine learningbased analysis to improve financial risk management in the constantly evolving world of cryptocurrencies.


Keywords: Cryptocurrency, Risk Management, Financial Risk, Money Laundering


Edition: Volume 12 Issue 4, April 2023


Pages: 1117 - 1121


DOI: https://www.doi.org/10.21275/SR23417141525



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Tanya Kapoor, Laxmi Ahuja, "Cryptocurrency Financial Risk Analysis using Machine Learning", International Journal of Science and Research (IJSR), Volume 12 Issue 4, April 2023, pp. 1117-1121, https://www.ijsr.net/getabstract.php?paperid=SR23417141525, DOI: https://www.doi.org/10.21275/SR23417141525

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