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 cl“+
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