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Decision Technologies For Computational Finance


Decision Technologies For Computational Finance
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Decision Technologies For Computational Finance


Decision Technologies For Computational Finance
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Author : Apostolos-Paul N. Refenes
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-01

Decision Technologies For Computational Finance written by Apostolos-Paul N. Refenes and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-01 with Business & Economics categories.


This volume contains selected papers that were presented at the International Conference COMPUTATIONAL FINANCE 1997 held at London Business School on December 15-17 1997. Formerly known as Neural Networks in the Capital Markets (NNCM), this series of meetings has emerged as a truly multi-disciplinary international conference and provided an international focus for innovative research on the application of a multiplicity of advanced decision technologies to many areas of financial engineering. It has drawn upon theoretical advances in financial economics and robust methodological developments in the statistical, econometric and computer sciences. To reflect its multi-disciplinary nature, the NNCM conference has adopted the new title COMPUTATIONAL FINANCE. The papers in this volume are organised in six parts. Market Dynamics and Risk, Trading and Arbitrage strategies, Volatility and Options, Term-Structure and Factor models, Corporate Distress Models and Advances on Methodology. This years' acceptance rate (38%) reflects both the increasing interest in the conference and the Programme Committee's efforts to improve the quality of the meeting year-on-year. I would like to thank the members of the programme committee for their efforts in refereeing the papers. I also would like to thank the members of the computational finance group at London Business School and particularly Neil Burgess, Peter Bolland, Yves Bentz, and Nevil Towers for organising the meeting.



Decision Technologies For Computational Finance


Decision Technologies For Computational Finance
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Author : Apostolos-Paul N. Refenes
language : en
Publisher:
Release Date : 2014-09-01

Decision Technologies For Computational Finance written by Apostolos-Paul N. Refenes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-01 with categories.




Decision Technologies For Financial Engineering


Decision Technologies For Financial Engineering
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Author : Andreas S. Weigend
language : en
Publisher: World Scientific Publishing Company Incorporated
Release Date : 1997

Decision Technologies For Financial Engineering written by Andreas S. Weigend and has been published by World Scientific Publishing Company Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.


This volume selects the best contributions from the Fourth International Conference on Neural Networks in the Capital Markets (NNCM). The conference brought together academics from several disciplines with strategists and decision makers from the financial industries.The various chapters present and compare new techniques from many areas including data mining, information systems, machine learning, and statistical artificial intelligence. The volume focuses on evaluating their usefulness for problems in computational finance and financial engineering.Applications — risk management; asset allocation; dynamic trading and hedging; forecasting; trading cost control. Markets — equity; foreign exchange; bond; commodity; derivatives; Approaches — data mining; statistical AI; machine learning; Monte Carlo simulation; bootstrapping; genetic algorithms; nonparametric methods; fuzzy logic.The chapters emphasizes in-depth and comparative evaluation with established approaches.



Decision Technologies For Financial Engineering Proceedings Of The Fourth International Conference On Neural Networks In The Capital Markets Nncm 96


Decision Technologies For Financial Engineering Proceedings Of The Fourth International Conference On Neural Networks In The Capital Markets Nncm 96
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Author : Yaser Abu-mostafa
language : en
Publisher: World Scientific
Release Date : 1998-01-02

Decision Technologies For Financial Engineering Proceedings Of The Fourth International Conference On Neural Networks In The Capital Markets Nncm 96 written by Yaser Abu-mostafa and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-01-02 with Business & Economics categories.


This volume selects the best contributions from the Fourth International Conference on Neural Networks in the Capital Markets (NNCM). The conference brought together academics from several disciplines with strategists and decision makers from the financial industries.The various chapters present and compare new techniques from many areas including data mining, information systems, machine learning, and statistical artificial intelligence. The volume focuses on evaluating their usefulness for problems in computational finance and financial engineering.Applications — risk management; asset allocation; dynamic trading and hedging; forecasting; trading cost control. Markets — equity; foreign exchange; bond; commodity; derivatives; Approaches — data mining; statistical AI; machine learning; Monte Carlo simulation; bootstrapping; genetic algorithms; nonparametric methods; fuzzy logic.The chapters emphasizes in-depth and comparative evaluation with established approaches.



Intelligent Decision Technologies 2018


Intelligent Decision Technologies 2018
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Author : Ireneusz Czarnowski
language : en
Publisher: Springer
Release Date : 2018-05-30

Intelligent Decision Technologies 2018 written by Ireneusz Czarnowski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-30 with Technology & Engineering categories.


This book gathers the proceedings of the KES-IDT-2018 conference, held in Gold Coast, Queensland, Australia, on June 20–22, 2018 The conference provided opportunities to present and discuss the latest research results, promoting knowledge transfer and the generation of new ideas in the field of intelligent decision-making. The range of topics explored is wide, and includes methods for decision-making, decision support, data analysis, modeling and many more in areas such as finance, economics, management, engineering and transportation. The book contains several sections devoted to specific topics, such as: · Decision-Making Theory for Economics · Advances in Knowledge-based Statistical Data Analysis · On Knowledge-Based Digital Ecosystems & Technologies for Smart and Intelligent Decision Support Systems · Soft Computing Models in Industrial and Management Engineering · Computational Media Computing and its Applications · Intelligent Decision-Making Technologies · Digital Architectures and Decision Management



Computational Finance And Its Applications Iii


Computational Finance And Its Applications Iii
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Author : M. Costantino
language : en
Publisher: WIT Press
Release Date : 2008

Computational Finance And Its Applications Iii written by M. Costantino and has been published by WIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Business & Economics categories.


Featuring papers from the Third International Conference on Computational Finance and its Applications, the text includes papers that encompass a wide range of topics such as modern financial services technologies, derivatives pricing, portfolio management and asset allocation, and intelligent trading agents.



Computational Finance


Computational Finance
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Author : George Levy
language : en
Publisher: Butterworth-Heinemann
Release Date : 2004-01-27

Computational Finance written by George Levy and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-27 with Business & Economics categories.


Accompanying CD-ROM contains ... "working computer code, demonstration applications, and also PDF versions of several research articles that are referred to in the book." -- d.j.



Recent Advances In Computational Finance


Recent Advances In Computational Finance
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Author : Dash Gordon H Thomaidis Nikolaos
language : en
Publisher: Nova Science Publishers
Release Date : 2013-01-01

Recent Advances In Computational Finance written by Dash Gordon H Thomaidis Nikolaos and has been published by Nova Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-01 with Business & Economics categories.


As it stands today, the spectrum of methods, tools, and applications that populate the area of computational finance is literally vast. Distinctively, it is this vast domain that differentiates today's financial decision makers from their counterparts of just a decade ago. Couched within this landscape are a set of increasingly complex resource utilization decisions; decisions that are, today, impacted by a surprising growth in technology that now spans a more globally diverse production and engineering environment. Collectively, firm financial managers, portfolio managers, and enterprise risk managers continue to exhort the computational finance community to formulate effective tools that more descriptively reconcile difficult problems in new product development, risk mitigation, and overall enterprise management. The computational finance community has responded to this call by offering refinements to classic computational methods while also introducing new ones. 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.



Intelligent Decision Technologies


Intelligent Decision Technologies
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Author : Junzo Watada
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-11-19

Intelligent Decision Technologies written by Junzo Watada and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-19 with Technology & Engineering categories.


Intelligent Decision Technologies (IDT) seeks an interchange of research on intelligent systems and intelligent technologies which enhance or improve decision making in industry, government and academia. The focus is interdisciplinary in nature, and includes research on all aspects of intelligent decision technologies, from fundamental development to the applied system. This volume represents leading research from the Third KES International Symposium on Intelligent Decision Technologies (KES IDT’11), hosted and organized by the University of Piraeus, Greece, in conjunction with KES International. The symposium was concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems. Topics include decision making theory, intelligent agents, fuzzy logic, multi-agent systems, Bayesian networks, optimization, artificial neural networks, genetic algorithms, expert systems, decision support systems, geographic information systems, case-based reasoning, time series, knowledge management systems, rough sets, spatial decision analysis, and multi-criteria decision analysis. These technologies have the potential to revolutionize decision making in many areas of management, healthcare, international business, finance, accounting, marketing, military applications, ecommerce, network management, crisis response, building design, information retrieval, and disaster recovery for a better future. The symposium was concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems. Topics include decision making theory, intelligent agents, fuzzy logic, multi-agent systems, Bayesian networks, optimization, artificial neural networks, genetic algorithms, expert systems, decision support systems, geographic information systems, case-based reasoning, time series, knowledge management systems, rough sets, spatial decision analysis, and multi-criteria decision analysis. These technologies have the potential to revolutionize decision making in many areas of management, healthcare, international business, finance, accounting, marketing, military applications, ecommerce, network management, crisis response, building design, information retrieval, and disaster recovery for a better future.



Modern Computational Finance


Modern Computational Finance
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Author : Antoine Savine
language : en
Publisher: John Wiley & Sons
Release Date : 2018-11-13

Modern Computational Finance written by Antoine Savine and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-13 with Mathematics categories.


Arguably the strongest addition to numerical finance of the past decade, Algorithmic Adjoint Differentiation (AAD) is the technology implemented in modern financial software to produce thousands of accurate risk sensitivities, within seconds, on light hardware. AAD recently became a centerpiece of modern financial systems and a key skill for all quantitative analysts, developers, risk professionals or anyone involved with derivatives. It is increasingly taught in Masters and PhD programs in finance. Danske Bank's wide scale implementation of AAD in its production and regulatory systems won the In-House System of the Year 2015 Risk award. The Modern Computational Finance books, written by three of the very people who designed Danske Bank's systems, offer a unique insight into the modern implementation of financial models. The volumes combine financial modelling, mathematics and programming to resolve real life financial problems and produce effective derivatives software. This volume is a complete, self-contained learning reference for AAD, and its application in finance. AAD is explained in deep detail throughout chapters that gently lead readers from the theoretical foundations to the most delicate areas of an efficient implementation, such as memory management, parallel implementation and acceleration with expression templates. The book comes with professional source code in C++, including an efficient, up to date implementation of AAD and a generic parallel simulation library. Modern C++, high performance parallel programming and interfacing C++ with Excel are also covered. The book builds the code step-by-step, while the code illustrates the concepts and notions developed in the book.