Algorithmic approaches to financial technology: forecasting, trading, and optimization
Today, algorithms steer and inform more than 75% of modern trades. These mathematical constructs play an intricate role in automating processes, predicting market trends, optimizing portfolios, and fortifying decision-making in the financial domain. In an era where algorithms underpin the very found...
Gespeichert in:
| Weitere beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Hershey PA, USA
IGI Global
[2024]
|
| Schriftenreihe: | Advances in finance, accounting, and economics (AFAE) book series
|
| Schlagwörter: | |
| Links: | https://doi.org/10.4018/979-8-3693-1746-4 https://doi.org/10.4018/979-8-3693-1746-4 https://doi.org/10.4018/979-8-3693-1746-4 https://doi.org/10.4018/979-8-3693-1746-4 |
| Zusammenfassung: | Today, algorithms steer and inform more than 75% of modern trades. These mathematical constructs play an intricate role in automating processes, predicting market trends, optimizing portfolios, and fortifying decision-making in the financial domain. In an era where algorithms underpin the very foundation of financial services, it is imperative to hold a deep understanding of the intricate web of computational finance.Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization takes a comprehensive approach, spotlighting the fusion of artificial intelligence(AI) and algorithms in financial operations. The chapters explore the expansive landscape of algorithmic applications, from scrutinizing market trends to managing risks. The emphasis extends to AI-driven personnel selection, implementing trusted financial services, crafting recommendation systems for financial platforms, and critical fraud detection. This book serves as a vital resource for researchers, students, and practitioners. Its core strength lies in discussing AI-based algorithms as a catalyst for evolving market trends. It provides algorithmic solutions for stock markets, portfolio optimization, and robust financial fraud detection mechanisms. |
| Umfang: | 1 Online-Ressource (xix, 266 Seiten) Illustrationen |
| ISBN: | 9798369317471 |
| DOI: | 10.4018/979-8-3693-1746-4 |
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| id | DE-604.BV049521780 |
| illustrated | Illustrated |
| indexdate | 2025-01-11T15:38:02Z |
| institution | BVB |
| isbn | 9798369317471 |
| language | English |
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| physical | 1 Online-Ressource (xix, 266 Seiten) Illustrationen |
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| publishDate | 2024 |
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| publisher | IGI Global |
| record_format | marc |
| series2 | Advances in finance, accounting, and economics (AFAE) book series |
| spellingShingle | Algorithmic approaches to financial technology forecasting, trading, and optimization Finance Mathematical models Finance Technological innovations |
| title | Algorithmic approaches to financial technology forecasting, trading, and optimization |
| title_auth | Algorithmic approaches to financial technology forecasting, trading, and optimization |
| title_exact_search | Algorithmic approaches to financial technology forecasting, trading, and optimization |
| title_full | Algorithmic approaches to financial technology forecasting, trading, and optimization Amandeep Singh, Sanjay Taneja, Pawan Kumar |
| title_fullStr | Algorithmic approaches to financial technology forecasting, trading, and optimization Amandeep Singh, Sanjay Taneja, Pawan Kumar |
| title_full_unstemmed | Algorithmic approaches to financial technology forecasting, trading, and optimization Amandeep Singh, Sanjay Taneja, Pawan Kumar |
| title_short | Algorithmic approaches to financial technology |
| title_sort | algorithmic approaches to financial technology forecasting trading and optimization |
| title_sub | forecasting, trading, and optimization |
| topic | Finance Mathematical models Finance Technological innovations |
| topic_facet | Finance Mathematical models Finance Technological innovations |
| url | https://doi.org/10.4018/979-8-3693-1746-4 |
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