£235.19

Data Analytics and AI for Quantitative Risk Assessment and Financial Computation (Advances in Computational Intelligence and Robotics)

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Last 67 days · 67 data points (no recent data)

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£240.19 £234.69 £235.89 £237.09 £238.29 £239.49 £240.69 10 June 2026 26 June 2026 13 July 2026 29 July 2026 15 August 2026

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1 day · current 41 days 22 days 3 days 0 10 21 31 41 £235 £237 £238 £240 Days at Price

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Most common price: £237 (41 days, 61.2%)

Price range: £235 - £240

Price levels: 4 different prices over 67 days

Description

In today's fast-paced financial landscape, professionals face an uphill battle in effectively integrating data analytics and artificial intelligence (AI) into quantitative risk assessment and financial computation. The constantly increasing volume, velocity, and variety of data generated by digital transactions, market exchanges, and social media platforms offer unparalleled financial analysis and decision-making opportunities. However, professionals need sophisticated AI technologies and data analytics methodologies to harness this data for predictive modeling, risk assessment, and algorithmic trading. Navigating this complex terrain can be daunting, and a comprehensive guide that bridges theory and practice is necessary. Data Analytics and AI for Quantitative Risk Assessment and Financial Computation is an all-encompassing reference for finance professionals, risk managers, data scientists, and students seeking to leverage the transformative power of AI and data analytics in finance. The book encapsulates this integration's theoretical underpinnings, practical applications, challenges, and future directions, empowering readers to enhance their analytical capabilities, make informed decisions, and stay ahead in the competitive financial landscape. The book provides a structured approach that covers foundational topics in quantitative risk assessment, data analytics, and AI, providing a roadmap for professionals to navigate the complexities of integrating AI and data analytics into financial practices. The book explores specific applications and methodologies, including machine learning algorithms for economic modeling and AI-driven strategies for risk management, providing readers with practical insights and strategies for success in the AI-driven financial future. With this book as a guide, professionals can confidently embrace the power of AI and data analytics to stay ahead in the ever-evolving economic landscape.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
29 November 2024
Listed Since
20 May 2024

Barcode

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