Machine Learning Applications in Finance, 2nd Edition
FinTech has emerged as a pivotal research area in modern finance, integrating cutting-edge technologies to address the evolving challenges of the financial industry. Recent advancements in machine learning (ML) and artificial intelligence (AI) have significantly enhanced the ability to analyze and i...
Tallennettuna:
| Aineistotyyppi: | Online |
|---|---|
| Kieli: | englanti |
| Julkaistu: |
MDPI - Multidisciplinary Digital Publishing Institute
2026
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| Aiheet: | |
| Linkit: | ONIX_20260416T142754_9783725859955_15 |
| Tagit: |
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| _version_ | 1869529355863982080 |
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| collection | Directory of Open Access Books |
| description | FinTech has emerged as a pivotal research area in modern finance, integrating cutting-edge technologies to address the evolving challenges of the financial industry. Recent advancements in machine learning (ML) and artificial intelligence (AI) have significantly enhanced the ability to analyze and interpret large-scale, complex financial data. These innovations have enabled more accurate forecasting, risk assessment, portfolio optimization, fraud detection, and algorithmic trading. The 2nd edition of the Special Issue of The Journal of Risk and Financial Management focuses on exploring the applications of ML and AI in finance, with an emphasis on the latest methodologies and their practical implementation in financial decision-making. This edition showcases a broad spectrum of research that leverages advanced ML techniques to uncover patterns in financial markets, improve investment strategies, and optimize financial risk management. By bringing together contributions from leading experts, this collection aims to further the integration of ML and AI within the finance sector, advancing both theoretical understanding and practical applications of these transformative technologies. |
| format | Online |
| id | doab-20.500.12854ir-175060 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1750602026-04-16T18:43:49Z Machine Learning Applications in Finance, 2nd Edition Kim, Jong-Min Artificial intelligence Blockchain Big data Cryptocurrencies Cyber security Data analytics Data mining Deep learning Electronic data interchange (EDI) E-learning Internet security Internet of things Mobile applications Mobile learning Neural networks Fuzzy logic Expert systems Security Sentiment analysis Support vector machines Web services and performance thema EDItEUR::W Lifestyle, Hobbies and Leisure::WC Antiques, vintage and collectables::WCF Collecting coins, banknotes, medals and other related items FinTech has emerged as a pivotal research area in modern finance, integrating cutting-edge technologies to address the evolving challenges of the financial industry. Recent advancements in machine learning (ML) and artificial intelligence (AI) have significantly enhanced the ability to analyze and interpret large-scale, complex financial data. These innovations have enabled more accurate forecasting, risk assessment, portfolio optimization, fraud detection, and algorithmic trading. The 2nd edition of the Special Issue of The Journal of Risk and Financial Management focuses on exploring the applications of ML and AI in finance, with an emphasis on the latest methodologies and their practical implementation in financial decision-making. This edition showcases a broad spectrum of research that leverages advanced ML techniques to uncover patterns in financial markets, improve investment strategies, and optimize financial risk management. By bringing together contributions from leading experts, this collection aims to further the integration of ML and AI within the finance sector, advancing both theoretical understanding and practical applications of these transformative technologies. 2026-04-16T18:43:42Z 2026-04-16T18:43:42Z 2025 book ONIX_20260416T142754_9783725859955_15 9783725859955 9783725859962 https://directory.doabooks.org/handle/20.500.12854/175060 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/11963 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-5996-2 10.3390/books978-3-7258-5996-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725859955 9783725859962 272 CH open access |
| spellingShingle | Artificial intelligence Blockchain Big data Cryptocurrencies Cyber security Data analytics Data mining Deep learning Electronic data interchange (EDI) E-learning Internet security Internet of things Mobile applications Mobile learning Neural networks Fuzzy logic Expert systems Security Sentiment analysis Support vector machines Web services and performance thema EDItEUR::W Lifestyle, Hobbies and Leisure::WC Antiques, vintage and collectables::WCF Collecting coins, banknotes, medals and other related items Machine Learning Applications in Finance, 2nd Edition |
| title | Machine Learning Applications in Finance, 2nd Edition |
| title_full | Machine Learning Applications in Finance, 2nd Edition |
| title_fullStr | Machine Learning Applications in Finance, 2nd Edition |
| title_full_unstemmed | Machine Learning Applications in Finance, 2nd Edition |
| title_short | Machine Learning Applications in Finance, 2nd Edition |
| title_sort | machine learning applications in finance 2nd edition |
| topic | Artificial intelligence Blockchain Big data Cryptocurrencies Cyber security Data analytics Data mining Deep learning Electronic data interchange (EDI) E-learning Internet security Internet of things Mobile applications Mobile learning Neural networks Fuzzy logic Expert systems Security Sentiment analysis Support vector machines Web services and performance thema EDItEUR::W Lifestyle, Hobbies and Leisure::WC Antiques, vintage and collectables::WCF Collecting coins, banknotes, medals and other related items |
| topic_facet | Artificial intelligence Blockchain Big data Cryptocurrencies Cyber security Data analytics Data mining Deep learning Electronic data interchange (EDI) E-learning Internet security Internet of things Mobile applications Mobile learning Neural networks Fuzzy logic Expert systems Security Sentiment analysis Support vector machines Web services and performance thema EDItEUR::W Lifestyle, Hobbies and Leisure::WC Antiques, vintage and collectables::WCF Collecting coins, banknotes, medals and other related items |
| url | ONIX_20260416T142754_9783725859955_15 |