Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization - Brossura

Brossura

ISBN 13: 9798369344897

Casa editrice: Business Science Reference, 2023

Riassunto

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.

Dettagli dell'edizione

• Editore: Business Science Reference
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 13: 9798369344897
• Rilegatura: Copertina flessibile
• Numero di pagine: 266
• Redattore: Singh Amandeep, Taneja Sanjay, Kumar Pawan
• Contatto del produttore: non disponibile
• Persona responsabile: gpsr@libri.de; gpsr@libri.de; ; Friedensallee 273; Hamburg; 22763; Germania