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Natural Computing in Computational Finance - 9783642233357

Description: Natural Computing in Computational Finance Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Volume 4 Author(s): Anthony Brabazon, Michael O'Neill, Dietmar Maringer Format: Hardback Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Germany Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K ISBN-13: 9783642233357, 978-3642233357 Synopsis This book follows on from Natural Computing in Computational Finance Volumes I, II and III. As in the previous volumes of this series, the book consists of a series of chapters each of which was selected following a rigorous, peer-reviewed, selection process. The chapters illustrate the application of a range of cutting-edge natural computing and agent-based methodologies in computational finance and economics. The applications explored include option model calibration, financial trend reversal detection, enhanced indexation, algorithmic trading, corporate payout determination and agent-based modeling of liquidity costs, and trade strategy adaptation. While describing cutting edge applications, the chapters are written so that they are accessible to a wide audience. Hence, they should be of interest to academics, students and practitioners in the fields of computational finance and economics. which was selected following a rigorous, peer-reviewed, selection process. The chapters illustrate the application of a range of cutting-edge natural computing and agent-based methodologies in computational finance and economics. The applications explored include option model calibration, financial trend reversal detection, enhanced indexation, algorithmic trading, corporate payout determination and agent-based modeling of liquidity costs, and trade strategy adaptation. While describing cutting edge applications, the chapters are written so that they are accessible to a wide audience. Hence, they should be of interest to academics, students and practitioners in the fields of computational finance and economics. The applications explored include option model calibration, financial trend reversal detection, enhanced indexation, algorithmic trading, corporate payout determination and agent-based modeling of liquidity costs, and trade strategy adaptation. While describing cutting edge applications, the chapters are written so that they are accessible to a wide audience. Hence, they should be of interest to academics, students and practitioners in the fields of computational finance and economics. written so that they are accessible to a wide audience. Hence, they should be of interest to academics, students and practitioners in the fields of computational finance and economics.

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Natural Computing in Computational Finance - 9783642233357

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Book Title: Natural Computing in Computational Finance

Author: Dietmar Maringer, Michael O'neill, Anthony Brabazon

Publication Name: Natural Computing in Computational Finance: Volume 4

Format: Hardcover

Language: English

Publisher: Springer-Verlag Berlin AND Heidelberg Gmbh & Co. KG

Subject: Computer Science, Business

Publication Year: 2011

Type: Textbook

Item Weight: 527g

Number of Pages: 202 Pages

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