Artificial intelligence and machine learning-powered smart finance:
"In the field of finance, the pervasive influence of algorithms has transformed the very fabric of the industry. Today, over 75% of trades are orchestrated by algorithms, making them the linchpin for trade automation, predictions, and decision-making. This algorithmic reliance, while propelling...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2024.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "In the field of finance, the pervasive influence of algorithms has transformed the very fabric of the industry. Today, over 75% of trades are orchestrated by algorithms, making them the linchpin for trade automation, predictions, and decision-making. This algorithmic reliance, while propelling financial services into unprecedented efficiency, has also ushered in a host of challenges. As the financial sector becomes increasingly algorithm-driven, concerns about risk assessment, market manipulation, and the ethical implications of automated decision-making have taken center stage. Artificial Intelligence and Machine Learning-Powered Smart Finance, meticulously examines the intersection of computational finance and advanced algorithms and the challenges associated with this technology.As algorithms permeate various facets of financial services, the book takes a deep dive into their applications, spanning forecasting, portfolio optimization, market trends analysis, and cryptoanalysis. It sheds light on the role of AI-based algorithms in personnel selection, implementing trusted financial services, developing recommendation systems for financial platforms, and detecting fraud, presenting a compelling case for the integration of innovative solutions in the financial sector. As the book unravels the intricate tapestry of algorithmic applications in finance, it also illuminates the ethical considerations and governance frameworks essential for navigating the delicate balance between technological innovation and responsible financial practices."-- |
| Beschreibung: | 28 PDFs (347 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798369332658 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
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| 245 | 0 | 0 | |a Artificial intelligence and machine learning-powered smart finance |c Sanjay Taneja, Amandeep Singh, Pawan Kumar, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c 2024. | |
| 300 | |a 28 PDFs (347 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. Diversification benefits and cross-volatility effects in cryptocurrency portfolios: a diagonal BEKK model perspective on bitcoin and bitgreen -- Chapter 2. Exploring the influence of factors driving financial accessibility, financial activities, and financial education on sustainable development -- Chapter 3. Algorithmic approaches to financial technology: forecasting, trading, and forecasting -- Chapter 4. Indian perspectives of digital banking: a bibliometric and future directions -- Chapter 5. Integration of artificial intelligence in the financial sector -- Chapter 6. Leveraging advanced analytics for financial fraud detection -- Chapter 7. Smart finance unveiled: navigating the nexus of artificial intelligence and machine learning in the financial landscape -- Chapter 8. Smart money, smarter minds: AI and ML in financial innovation -- Chapter 9. The future of robo-advisors in wealth management -- Chapter 10. The role of artificial intelligence in healthcare: successful factors, challenges, and ethical considerations -- Chapter 11. Unlocking the potential of predictive analytics in financial decision-making -- Chapter 12. Indian banking system and blockchain technology: digital world -- Chapter 13. Development of financial forecasting tools -- Chapter 14. Building a sustainable tomorrow: exploring the rise of entrepreneurship that benefits profit, planet, and people -- Chapter 15. Cognitive ai's role in the banking industry: outlook, hurdles, and future horizons -- Chapter 16. Cooperative learning approach perspective in gender equality: primary school students in dodoma, Tanzania -- Chapter 17. Fintech for ESG and circular economy -- Chapter 18. Foreign direct investment (FDI) and its impact on regional development: an empirical analysis of Tunisian regions -- Chapter 19. AI symphony: orchestrating economic resonance in India and ASEAN countries. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "In the field of finance, the pervasive influence of algorithms has transformed the very fabric of the industry. Today, over 75% of trades are orchestrated by algorithms, making them the linchpin for trade automation, predictions, and decision-making. This algorithmic reliance, while propelling financial services into unprecedented efficiency, has also ushered in a host of challenges. As the financial sector becomes increasingly algorithm-driven, concerns about risk assessment, market manipulation, and the ethical implications of automated decision-making have taken center stage. Artificial Intelligence and Machine Learning-Powered Smart Finance, meticulously examines the intersection of computational finance and advanced algorithms and the challenges associated with this technology.As algorithms permeate various facets of financial services, the book takes a deep dive into their applications, spanning forecasting, portfolio optimization, market trends analysis, and cryptoanalysis. It sheds light on the role of AI-based algorithms in personnel selection, implementing trusted financial services, developing recommendation systems for financial platforms, and detecting fraud, presenting a compelling case for the integration of innovative solutions in the financial sector. As the book unravels the intricate tapestry of algorithmic applications in finance, it also illuminates the ethical considerations and governance frameworks essential for navigating the delicate balance between technological innovation and responsible financial practices."-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 03/01/2024). | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Finance |x Technological innovations. | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Kumar, Pawan |d 1974- |e editor. | |
| 700 | 1 | |a Singh, Amandeep |d 1982- |e editor. | |
| 700 | 1 | |a Taneja, Sanjay, |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9798369332641 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3264-1 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
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| _version_ | 1804751466653548544 |
| adam_text | |
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| author_facet | Kumar, Pawan 1974- Singh, Amandeep 1982- Taneja, Sanjay |
| building | Verbundindex |
| bvnumber | localFWS |
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| collection | ZDB-98-IGB |
| contents | Chapter 1. Diversification benefits and cross-volatility effects in cryptocurrency portfolios: a diagonal BEKK model perspective on bitcoin and bitgreen -- Chapter 2. Exploring the influence of factors driving financial accessibility, financial activities, and financial education on sustainable development -- Chapter 3. Algorithmic approaches to financial technology: forecasting, trading, and forecasting -- Chapter 4. Indian perspectives of digital banking: a bibliometric and future directions -- Chapter 5. Integration of artificial intelligence in the financial sector -- Chapter 6. Leveraging advanced analytics for financial fraud detection -- Chapter 7. Smart finance unveiled: navigating the nexus of artificial intelligence and machine learning in the financial landscape -- Chapter 8. Smart money, smarter minds: AI and ML in financial innovation -- Chapter 9. The future of robo-advisors in wealth management -- Chapter 10. The role of artificial intelligence in healthcare: successful factors, challenges, and ethical considerations -- Chapter 11. Unlocking the potential of predictive analytics in financial decision-making -- Chapter 12. Indian banking system and blockchain technology: digital world -- Chapter 13. Development of financial forecasting tools -- Chapter 14. Building a sustainable tomorrow: exploring the rise of entrepreneurship that benefits profit, planet, and people -- Chapter 15. Cognitive ai's role in the banking industry: outlook, hurdles, and future horizons -- Chapter 16. Cooperative learning approach perspective in gender equality: primary school students in dodoma, Tanzania -- Chapter 17. Fintech for ESG and circular economy -- Chapter 18. Foreign direct investment (FDI) and its impact on regional development: an empirical analysis of Tunisian regions -- Chapter 19. AI symphony: orchestrating economic resonance in India and ASEAN countries. |
| ctrlnum | (CaBNVSL)slc00005630 (OCoLC)1424888447 |
| dewey-full | 332 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 332 - Financial economics |
| dewey-raw | 332 |
| dewey-search | 332 |
| dewey-sort | 3332 |
| dewey-tens | 330 - Economics |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00335117 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-16T15:52:00Z |
| institution | BVB |
| isbn | 9798369332658 |
| language | English |
| oclc_num | 1424888447 |
| open_access_boolean | |
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| owner_facet | DE-863 DE-BY-FWS |
| physical | 28 PDFs (347 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | IGI Global, |
| record_format | marc |
| spelling | Artificial intelligence and machine learning-powered smart finance Sanjay Taneja, Amandeep Singh, Pawan Kumar, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2024. 28 PDFs (347 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Diversification benefits and cross-volatility effects in cryptocurrency portfolios: a diagonal BEKK model perspective on bitcoin and bitgreen -- Chapter 2. Exploring the influence of factors driving financial accessibility, financial activities, and financial education on sustainable development -- Chapter 3. Algorithmic approaches to financial technology: forecasting, trading, and forecasting -- Chapter 4. Indian perspectives of digital banking: a bibliometric and future directions -- Chapter 5. Integration of artificial intelligence in the financial sector -- Chapter 6. Leveraging advanced analytics for financial fraud detection -- Chapter 7. Smart finance unveiled: navigating the nexus of artificial intelligence and machine learning in the financial landscape -- Chapter 8. Smart money, smarter minds: AI and ML in financial innovation -- Chapter 9. The future of robo-advisors in wealth management -- Chapter 10. The role of artificial intelligence in healthcare: successful factors, challenges, and ethical considerations -- Chapter 11. Unlocking the potential of predictive analytics in financial decision-making -- Chapter 12. Indian banking system and blockchain technology: digital world -- Chapter 13. Development of financial forecasting tools -- Chapter 14. Building a sustainable tomorrow: exploring the rise of entrepreneurship that benefits profit, planet, and people -- Chapter 15. Cognitive ai's role in the banking industry: outlook, hurdles, and future horizons -- Chapter 16. Cooperative learning approach perspective in gender equality: primary school students in dodoma, Tanzania -- Chapter 17. Fintech for ESG and circular economy -- Chapter 18. Foreign direct investment (FDI) and its impact on regional development: an empirical analysis of Tunisian regions -- Chapter 19. AI symphony: orchestrating economic resonance in India and ASEAN countries. Restricted to subscribers or individual electronic text purchasers. "In the field of finance, the pervasive influence of algorithms has transformed the very fabric of the industry. Today, over 75% of trades are orchestrated by algorithms, making them the linchpin for trade automation, predictions, and decision-making. This algorithmic reliance, while propelling financial services into unprecedented efficiency, has also ushered in a host of challenges. As the financial sector becomes increasingly algorithm-driven, concerns about risk assessment, market manipulation, and the ethical implications of automated decision-making have taken center stage. Artificial Intelligence and Machine Learning-Powered Smart Finance, meticulously examines the intersection of computational finance and advanced algorithms and the challenges associated with this technology.As algorithms permeate various facets of financial services, the book takes a deep dive into their applications, spanning forecasting, portfolio optimization, market trends analysis, and cryptoanalysis. It sheds light on the role of AI-based algorithms in personnel selection, implementing trusted financial services, developing recommendation systems for financial platforms, and detecting fraud, presenting a compelling case for the integration of innovative solutions in the financial sector. As the book unravels the intricate tapestry of algorithmic applications in finance, it also illuminates the ethical considerations and governance frameworks essential for navigating the delicate balance between technological innovation and responsible financial practices."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 03/01/2024). Artificial intelligence. Finance Technological innovations. Electronic books. Kumar, Pawan 1974- editor. Singh, Amandeep 1982- editor. Taneja, Sanjay, editor. IGI Global, publisher. Print version: 9798369332641 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3264-1 Volltext |
| spellingShingle | Artificial intelligence and machine learning-powered smart finance Chapter 1. Diversification benefits and cross-volatility effects in cryptocurrency portfolios: a diagonal BEKK model perspective on bitcoin and bitgreen -- Chapter 2. Exploring the influence of factors driving financial accessibility, financial activities, and financial education on sustainable development -- Chapter 3. Algorithmic approaches to financial technology: forecasting, trading, and forecasting -- Chapter 4. Indian perspectives of digital banking: a bibliometric and future directions -- Chapter 5. Integration of artificial intelligence in the financial sector -- Chapter 6. Leveraging advanced analytics for financial fraud detection -- Chapter 7. Smart finance unveiled: navigating the nexus of artificial intelligence and machine learning in the financial landscape -- Chapter 8. Smart money, smarter minds: AI and ML in financial innovation -- Chapter 9. The future of robo-advisors in wealth management -- Chapter 10. The role of artificial intelligence in healthcare: successful factors, challenges, and ethical considerations -- Chapter 11. Unlocking the potential of predictive analytics in financial decision-making -- Chapter 12. Indian banking system and blockchain technology: digital world -- Chapter 13. Development of financial forecasting tools -- Chapter 14. Building a sustainable tomorrow: exploring the rise of entrepreneurship that benefits profit, planet, and people -- Chapter 15. Cognitive ai's role in the banking industry: outlook, hurdles, and future horizons -- Chapter 16. Cooperative learning approach perspective in gender equality: primary school students in dodoma, Tanzania -- Chapter 17. Fintech for ESG and circular economy -- Chapter 18. Foreign direct investment (FDI) and its impact on regional development: an empirical analysis of Tunisian regions -- Chapter 19. AI symphony: orchestrating economic resonance in India and ASEAN countries. Artificial intelligence. Finance Technological innovations. |
| title | Artificial intelligence and machine learning-powered smart finance |
| title_auth | Artificial intelligence and machine learning-powered smart finance |
| title_exact_search | Artificial intelligence and machine learning-powered smart finance |
| title_full | Artificial intelligence and machine learning-powered smart finance Sanjay Taneja, Amandeep Singh, Pawan Kumar, editors. |
| title_fullStr | Artificial intelligence and machine learning-powered smart finance Sanjay Taneja, Amandeep Singh, Pawan Kumar, editors. |
| title_full_unstemmed | Artificial intelligence and machine learning-powered smart finance Sanjay Taneja, Amandeep Singh, Pawan Kumar, editors. |
| title_short | Artificial intelligence and machine learning-powered smart finance |
| title_sort | artificial intelligence and machine learning powered smart finance |
| topic | Artificial intelligence. Finance Technological innovations. |
| topic_facet | Artificial intelligence. Finance Technological innovations. Electronic books. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3264-1 |
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