Natural Computing In Computational Finance

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Natural Computing in Computational Finance

Author : Anthony Brabazon
Publisher : Springer Science & Business Media
ISBN 13 : 3540959734
Total Pages : 246 pages
Book Rating : 4.5/5 (49 download)

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Book Synopsis Natural Computing in Computational Finance by : Anthony Brabazon

Download or read book Natural Computing in Computational Finance written by Anthony Brabazon and published by Springer Science & Business Media. This book was released on 2009-03-13 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen the widespread application of Natural Computing algorithms (broadly defined in this context as computer algorithms whose design draws inspiration from phenomena in the natural world) for the purposes of financial modelling and optimisation. A related stream of work has also seen the application of learning mechanisms drawn from Natural Computing algorithms for the purposes of agent-based modelling in finance and economics. In this book we have collected a series of chapters which illustrate these two faces of Natural Computing. The first part of the book illustrates how algorithms inspired by the natural world can be used as problem solvers to uncover and optimise financial models. The second part of the book examines a number agent-based simulations of financial systems. This book follows on from Natural Computing in Computational Finance (Volume 100 in Springer’s Studies in Computational Intelligence series) which in turn arose from the success of EvoFIN 2007, the very first European Workshop on Evolutionary Computation in Finance & Economics held in Valencia, Spain in April 2007.

Natural Computing in Computational Finance

Author : Anthony Brabazon
Publisher : Springer Science & Business Media
ISBN 13 : 3540774769
Total Pages : 298 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Natural Computing in Computational Finance by : Anthony Brabazon

Download or read book Natural Computing in Computational Finance written by Anthony Brabazon and published by Springer Science & Business Media. This book was released on 2008-05-09 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural Computing in Computational Finance is a innovative volume containing fifteen chapters which illustrate cutting-edge applications of natural computing or agent-based modeling in modern computational finance. Following an introductory chapter the book is organized into three sections. The first section deals with optimization applications of natural computing demonstrating the application of a broad range of algorithms including, genetic algorithms, differential evolution, evolution strategies, quantum-inspired evolutionary algorithms and bacterial foraging algorithms to multiple financial applications including portfolio optimization, fund allocation and asset pricing. The second section explores the use of natural computing methodologies such as genetic programming, neural network hybrids and fuzzy-evolutionary hybrids for model induction in order to construct market trading, credit scoring and market prediction systems. The final section illustrates a range of agent-based applications including the modeling of payment card and financial markets. Each chapter provides an introduction to the relevant natural computing methodology as well as providing a clear description of the financial application addressed. The book was written to be accessible to a wide audience and should be of interest to practitioners, academics and students, in the fields of both natural computing and finance.

Natural Computing in Computational Finance

Author : Anthony Brabazon
Publisher : Springer Science & Business Media
ISBN 13 : 3642139493
Total Pages : 220 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Natural Computing in Computational Finance by : Anthony Brabazon

Download or read book Natural Computing in Computational Finance written by Anthony Brabazon and published by Springer Science & Business Media. This book was released on 2010-06-09 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: The chapters in this book illustrate the application of a range of cutting-edge natural computing and agent-based methodologies in computational finance and economics. The eleven chapters were selected following a rigorous, peer-reviewed, selection process.

Natural Computing in Computational Finance

Author : Anthony Brabazon
Publisher : Springer Science & Business Media
ISBN 13 : 364223335X
Total Pages : 203 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Natural Computing in Computational Finance by : Anthony Brabazon

Download or read book Natural Computing in Computational Finance written by Anthony Brabazon and published by Springer Science & Business Media. This book was released on 2011-09-10 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Natural Computing in Computational Finance

Author : Anthony Brabazon
Publisher : Springer
ISBN 13 : 9783540848806
Total Pages : 303 pages
Book Rating : 4.8/5 (488 download)

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Book Synopsis Natural Computing in Computational Finance by : Anthony Brabazon

Download or read book Natural Computing in Computational Finance written by Anthony Brabazon and published by Springer. This book was released on 2009-08-29 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural Computing in Computational Finance is a innovative volume containing fifteen chapters which illustrate cutting-edge applications of natural computing or agent-based modeling in modern computational finance. Following an introductory chapter the book is organized into three sections. The first section deals with optimization applications of natural computing demonstrating the application of a broad range of algorithms including, genetic algorithms, differential evolution, evolution strategies, quantum-inspired evolutionary algorithms and bacterial foraging algorithms to multiple financial applications including portfolio optimization, fund allocation and asset pricing. The second section explores the use of natural computing methodologies such as genetic programming, neural network hybrids and fuzzy-evolutionary hybrids for model induction in order to construct market trading, credit scoring and market prediction systems. The final section illustrates a range of agent-based applications including the modeling of payment card and financial markets. Each chapter provides an introduction to the relevant natural computing methodology as well as providing a clear description of the financial application addressed. The book was written to be accessible to a wide audience and should be of interest to practitioners, academics and students, in the fields of both natural computing and finance.

Natural Computing in Computational Finance

Author : Anthony Brabazon
Publisher : Springer
ISBN 13 : 9783642001239
Total Pages : 250 pages
Book Rating : 4.0/5 (12 download)

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Book Synopsis Natural Computing in Computational Finance by : Anthony Brabazon

Download or read book Natural Computing in Computational Finance written by Anthony Brabazon and published by Springer. This book was released on 2009-08-29 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen the widespread application of Natural Computing algorithms (broadly defined in this context as computer algorithms whose design draws inspiration from phenomena in the natural world) for the purposes of financial modelling and optimisation. A related stream of work has also seen the application of learning mechanisms drawn from Natural Computing algorithms for the purposes of agent-based modelling in finance and economics. In this book we have collected a series of chapters which illustrate these two faces of Natural Computing. The first part of the book illustrates how algorithms inspired by the natural world can be used as problem solvers to uncover and optimise financial models. The second part of the book examines a number agent-based simulations of financial systems. This book follows on from Natural Computing in Computational Finance (Volume 100 in Springer’s Studies in Computational Intelligence series) which in turn arose from the success of EvoFIN 2007, the very first European Workshop on Evolutionary Computation in Finance & Economics held in Valencia, Spain in April 2007.

Natural Computing in Computational Finance

Author : Anthony Brabazon
Publisher : Springer
ISBN 13 : 9783642139512
Total Pages : 241 pages
Book Rating : 4.1/5 (395 download)

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Book Synopsis Natural Computing in Computational Finance by : Anthony Brabazon

Download or read book Natural Computing in Computational Finance written by Anthony Brabazon and published by Springer. This book was released on 2011-07-23 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: The chapters in this book illustrate the application of a range of cutting-edge natural computing and agent-based methodologies in computational finance and economics. The eleven chapters were selected following a rigorous, peer-reviewed, selection process.

Natural Computing: DNA, Quantum Bits, and the Future of Smart Machines

Author : Dennis E. Shasha
Publisher : W. W. Norton & Company
ISBN 13 : 0393336832
Total Pages : 297 pages
Book Rating : 4.3/5 (933 download)

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Book Synopsis Natural Computing: DNA, Quantum Bits, and the Future of Smart Machines by : Dennis E. Shasha

Download or read book Natural Computing: DNA, Quantum Bits, and the Future of Smart Machines written by Dennis E. Shasha and published by W. W. Norton & Company. This book was released on 2010-04-27 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on interviews with 15 leading scientists, the authors present an unexpected vision: the future of computing is a synthesis with nature.

Natural Computing Algorithms

Author : Anthony Brabazon
Publisher : Springer
ISBN 13 : 3662436310
Total Pages : 554 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Natural Computing Algorithms by : Anthony Brabazon

Download or read book Natural Computing Algorithms written by Anthony Brabazon and published by Springer. This book was released on 2015-10-08 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of natural computing has been the focus of a substantial research effort in recent decades. One particular strand of this research concerns the development of computational algorithms using metaphorical inspiration from systems and phenomena that occur in the natural world. These naturally inspired computing algorithms have proven to be successful problem-solvers across domains as diverse as management science, bioinformatics, finance, marketing, engineering, architecture and design. This book is a comprehensive introduction to natural computing algorithms, suitable for academic and industrial researchers and for undergraduate and graduate courses on natural computing in computer science, engineering and management science.

Computational Finance

Author : Argimiro Arratia
Publisher : Springer Science & Business Media
ISBN 13 : 9462390703
Total Pages : 305 pages
Book Rating : 4.4/5 (623 download)

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Book Synopsis Computational Finance by : Argimiro Arratia

Download or read book Computational Finance written by Argimiro Arratia and published by Springer Science & Business Media. This book was released on 2014-05-08 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers a wide range of topics, yet essential, in Computational Finance (CF), understood as a mix of Finance, Computational Statistics, and Mathematics of Finance. In that regard it is unique in its kind, for it touches upon the basic principles of all three main components of CF, with hands-on examples for programming models in R. Thus, the first chapter gives an introduction to the Principles of Corporate Finance: the markets of stock and options, valuation and economic theory, framed within Computation and Information Theory (e.g. the famous Efficient Market Hypothesis is stated in terms of computational complexity, a new perspective). Chapters 2 and 3 give the necessary tools of Statistics for analyzing financial time series, it also goes in depth into the concepts of correlation, causality and clustering. Chapters 4 and 5 review the most important discrete and continuous models for financial time series. Each model is provided with an example program in R. Chapter 6 covers the essentials of Technical Analysis (TA) and Fundamental Analysis. This chapter is suitable for people outside academics and into the world of financial investments, as a primer in the methods of charting and analysis of value for stocks, as it is done in the financial industry. Moreover, a mathematical foundation to the seemly ad-hoc methods of TA is given, and this is new in a presentation of TA. Chapter 7 reviews the most important heuristics for optimization: simulated annealing, genetic programming, and ant colonies (swarm intelligence) which is material to feed the computer savvy readers. Chapter 8 gives the basic principles of portfolio management, through the mean-variance model, and optimization under different constraints which is a topic of current research in computation, due to its complexity. One important aspect of this chapter is that it teaches how to use the powerful tools for portfolio analysis from the RMetrics R-package. Chapter 9 is a natural continuation of chapter 8 into the new area of research of online portfolio selection. The basic model of the universal portfolio of Cover and approximate methods to compute are also described.

High-Performance Computing in Finance

Author : M. A. H. Dempster
Publisher : CRC Press
ISBN 13 : 1482299674
Total Pages : 637 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis High-Performance Computing in Finance by : M. A. H. Dempster

Download or read book High-Performance Computing in Finance written by M. A. H. Dempster and published by CRC Press. This book was released on 2018-02-21 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: High-Performance Computing (HPC) delivers higher computational performance to solve problems in science, engineering and finance. There are various HPC resources available for different needs, ranging from cloud computing– that can be used without much expertise and expense – to more tailored hardware, such as Field-Programmable Gate Arrays (FPGAs) or D-Wave’s quantum computer systems. High-Performance Computing in Finance is the first book that provides a state-of-the-art introduction to HPC for finance, capturing both academically and practically relevant problems.

Recent Advances in Computational Finance

Author : Nikolaos Thomaidis
Publisher : Nova Science Publishers
ISBN 13 : 9781626181236
Total Pages : 0 pages
Book Rating : 4.1/5 (812 download)

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Book Synopsis Recent Advances in Computational Finance by : Nikolaos Thomaidis

Download or read book Recent Advances in Computational Finance written by Nikolaos Thomaidis and published by Nova Science Publishers. This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: From continuous optimization to natural and evolutionary computing to time-series econometrics, this edition covers contemporary developments in computational finance. The book examines how interdisciplinary contributions from applied mathematics, statistics, and engineering can be adapted to a problem-solving approach in finance with an emphasis on vexing, but identifiable, real-world problems.

Applications of Evolutionary Computing

Author : Mario Giacobini
Publisher : Springer
ISBN 13 : 3642011292
Total Pages : 831 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Applications of Evolutionary Computing by : Mario Giacobini

Download or read book Applications of Evolutionary Computing written by Mario Giacobini and published by Springer. This book was released on 2009-04-11 with total page 831 pages. Available in PDF, EPUB and Kindle. Book excerpt: The year 2009 celebrates the bicentenary of Darwin’s birth and the 150th - niversary of the publication of his seminal work, On the Origin of Species.If this makes 2009 a special year for the research community working in biology and evolution, the ?eld of evolutionary computation (EC) also shares the same excitement. EC techniques are e?cient, nature-inspired planning and optimi- tion methods based on the principles of natural evolution and genetics. Due to their e?ciency and simple underlying principles, these methods can be used in the context of problem solving, optimization, and machine learning. A large and ever-increasing number of researchers and professionals make use of EC te- niques in various application domains. ThisvolumepresentsacarefulselectionofrelevantECapplicationscombined with a thorough examination of the techniques used in EC. The papers in the volume illustrate the current state of the art in the application of EC and can help and inspire researchers and professionals to develop e?cient EC methods for design and problem solving.

Applications of Evolutionary Computation

Author : Antonio M. Mora
Publisher : Springer
ISBN 13 : 3319165496
Total Pages : 914 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Applications of Evolutionary Computation by : Antonio M. Mora

Download or read book Applications of Evolutionary Computation written by Antonio M. Mora and published by Springer. This book was released on 2015-03-16 with total page 914 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed conference proceedings of the 18th International Conference on the Applications of Evolutionary Computation, EvoApplications 2015, held in Copenhagen, Spain, in April 2015, colocated with the Evo 2015 events EuroGP, EvoCOP, and EvoMUSART. The 72 revised full papers presented were carefully reviewed and selected from 125 submissions. EvoApplications 2015 consisted of the following 13 tracks: EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoFIN (evolutionary and natural computation in finance and economics), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoRISK (computational intelligence for risk management, security and defence applications), EvoROBOT (evolutionary computation in robotics), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).

The Oxford Handbook of Computational Economics and Finance

Author : Shu-Heng Chen
Publisher : Oxford University Press
ISBN 13 : 0199844372
Total Pages : 785 pages
Book Rating : 4.1/5 (998 download)

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Book Synopsis The Oxford Handbook of Computational Economics and Finance by : Shu-Heng Chen

Download or read book The Oxford Handbook of Computational Economics and Finance written by Shu-Heng Chen and published by Oxford University Press. This book was released on 2018 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an insightful survey of approaches to computational analysis of economics and finance.

Applications of Evolutionary Computation

Author : Cecilia Di Chio
Publisher : Springer Science & Business Media
ISBN 13 : 3642122418
Total Pages : 504 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Applications of Evolutionary Computation by : Cecilia Di Chio

Download or read book Applications of Evolutionary Computation written by Cecilia Di Chio and published by Springer Science & Business Media. This book was released on 2010-03-25 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Workshops on the Applications of Evolutionary Computation, EvoApplications 2010, held in Istanbul, Turkey, in April 2010 colocated with the Evo* 2010 events. Thanks to the large number of submissions received, the proceedings for EvoApplications 2010 are divided across two volumes (LNCS 6024 and 6025). The present volume contains contributions for EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoMUSART, and EvoTRANSLOG. The 47 revised full papers presented were carefully reviewed and selected from a total of 86 submissions. This volume presents a careful selection of relevant EC examples combined with a thorough examination of the techniques used in EC. The papers in the volume illustrate the current state of the art in the application of EC and should help and inspire researchers and professionals to develop efficient EC methods for design and problem solving.

Recent Developments in Computational Finance

Author : Thomas Gerstner
Publisher : World Scientific
ISBN 13 : 9814436429
Total Pages : 481 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Recent Developments in Computational Finance by : Thomas Gerstner

Download or read book Recent Developments in Computational Finance written by Thomas Gerstner and published by World Scientific. This book was released on 2013 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational finance is an interdisciplinary field which joins financial mathematics, stochastics, numerics and scientific computing. Its task is to estimate as accurately and efficiently as possible the risks that financial instruments generate. This volume consists of a series of cutting-edge surveys of recent developments in the field written by leading international experts. These make the subject accessible to a wide readership in academia and financial businesses. The book consists of 13 chapters divided into 3 parts: foundations, algorithms and applications. Besides surveys of existing results, the book contains many new previously unpublished results.