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Autore principale: Huang, Junjun
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2410.00044
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author Huang, Junjun
author_facet Huang, Junjun
contents With the rapid development of technology, blockchain and artificial intelligence technology are playing a huge role in all walks of life. In the financial sector, blockchain solves many security problems in data storage and management in traditional systems with its advantages of decentralization and security. And artificial intelligence has huge advantages in financial forecasting and risk management through its powerful algorithmic modeling capabilities. In financial default prediction using blockchain and artificial intelligence technology is a very powerful application. Blockchain technology guarantees the credibility of data and consistency on all nodes, and machine learning builds a high-level default prediction model through detailed analysis of big data. This study offers financial institutions new thoughts on financial technology in terms of credit risk mitigation and financial system stabilization.
format Preprint
id arxiv_https___arxiv_org_abs_2410_00044
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Artificial intelligence-based blockchain-driven financial default prediction
Huang, Junjun
Cryptography and Security
Artificial Intelligence
With the rapid development of technology, blockchain and artificial intelligence technology are playing a huge role in all walks of life. In the financial sector, blockchain solves many security problems in data storage and management in traditional systems with its advantages of decentralization and security. And artificial intelligence has huge advantages in financial forecasting and risk management through its powerful algorithmic modeling capabilities. In financial default prediction using blockchain and artificial intelligence technology is a very powerful application. Blockchain technology guarantees the credibility of data and consistency on all nodes, and machine learning builds a high-level default prediction model through detailed analysis of big data. This study offers financial institutions new thoughts on financial technology in terms of credit risk mitigation and financial system stabilization.
title Artificial intelligence-based blockchain-driven financial default prediction
topic Cryptography and Security
Artificial Intelligence
url https://arxiv.org/abs/2410.00044