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Springer Natural Computing in Computational Finance Vol 4

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Description

Expand your expertise in financial technology with Natural Computing in Computational Finance: Volume 4. This installment in the Studies in Computational Intelligence series continues the research established in Volumes I, II, and III. Each chapter has undergone a rigorous, peer-reviewed selection process to ensure high academic and professional standards. This volume explores the application of cutting-edge natural computing and agent-based methodologies within the fields of finance and economics. Readers will find detailed research on practical applications such as option model calibration, algorithmic trading, and financial trend reversal detection. The text also covers enhanced indexation and corporate payout determination, providing a deep look into modern computational strategies for the financial sector.

Key Features

This Springer publication serves as the fourth volume in the specialized Studies in Computational Intelligence series.

Each chapter in this volume is selected through a rigorous and peer-reviewed process to ensure quality research.

The content focuses on the application of agent-based methodologies and natural computing in finance and economics.

Research topics include option model calibration and financial trend reversal detection.

The book covers advanced technical applications like algorithmic trading and enhanced indexation.

Detailed studies on corporate payout determination are included for financial professionals and researchers.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
10 September 2011
Listed Since
25 July 2011

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