Forecasting Expected Returns in the Financial Markets PDF Download
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Author: Stephen Satchell
Publisher: Elsevier
ISBN: 0080550673
Category : Business & Economics
Languages : en
Pages : 299
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Book Description
Forecasting returns is as important as forecasting volatility in multiple areas of finance. This topic, essential to practitioners, is also studied by academics. In this new book, Dr Stephen Satchell brings together a collection of leading thinkers and practitioners from around the world who address this complex problem using the latest quantitative techniques.*Forecasting expected returns is an essential aspect of finance and highly technical *The first collection of papers to present new and developing techniques *International authors present both academic and practitioner perspectives
Author: Stephen Satchell
Publisher: Elsevier
ISBN: 0080550673
Category : Business & Economics
Languages : en
Pages : 299
Get Book Here
Book Description
Forecasting returns is as important as forecasting volatility in multiple areas of finance. This topic, essential to practitioners, is also studied by academics. In this new book, Dr Stephen Satchell brings together a collection of leading thinkers and practitioners from around the world who address this complex problem using the latest quantitative techniques.*Forecasting expected returns is an essential aspect of finance and highly technical *The first collection of papers to present new and developing techniques *International authors present both academic and practitioner perspectives
Author: Options Institute (Chicago Board Options Exchange)
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 448
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Book Description
This authoritative guide offers an easy-to-understand, fundamental explanation of the goals and objectives of each player involved in the options trade. Along with this tactical information, traders will gain insight into trading strategies and options concepts. Includes coverage of EAPs, CAPs, and industry indexes.
Author: Christian L. Dunis
Publisher: John Wiley & Sons
ISBN: 0470871342
Category : Business & Economics
Languages : en
Pages : 426
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Book Description
This book provides a manual on quantitative financial analysis. Focusing on advanced methods for modelling financial markets in the context of practical financial applications, it will cover data, software and techniques that will enable the reader to implement and interpret quantitative methodologies, specifically for trading and investment. Includes contributions from an international team of academics and quantitative asset managers from Morgan Stanley, Barclays Global Investors, ABN AMRO and Credit Suisse First Boston. Fills the gap for a book on applied quantitative investment & trading models Provides details of how to combine various models to manage and trade a portfolio
Author: M. Costantino
Publisher: WIT Press
ISBN: 1845641116
Category : Business & Economics
Languages : en
Pages : 257
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Book Description
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.
Author: Andrea Consiglio
Publisher: Springer Science & Business Media
ISBN: 3540731350
Category : Business & Economics
Languages : en
Pages : 277
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Book Description
This volume features contributions to agent-based computational modeling from the social sciences and computer sciences. It presents applications of methodologies and tools, focusing on the uses, requirements, and constraints of agent-based models used by social scientists. Topics include agent-based macroeconomics, the emergence of norms and conventions, the dynamics of social and economic networks, and behavioral models in financial markets.
Author: Fahed Mostafa
Publisher: Springer
ISBN: 331951668X
Category : Technology & Engineering
Languages : en
Pages : 177
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Book Description
This book demonstrates the power of neural networks in learning complex behavior from the underlying financial time series data. The results presented also show how neural networks can successfully be applied to volatility modeling, option pricing, and value-at-risk modeling. These features mean that they can be applied to market-risk problems to overcome classic problems associated with statistical models.
Author: Emile Fiesler
Publisher: CRC Press
ISBN: 9780750305242
Category : Technology & Engineering
Languages : en
Pages : 120
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Book Description
In recent years, neural computation has developed from a specialized research discipline into a broadly based and dynamic activity with applications in an astonishing variety of fields. Many scientists, engineers and other practitioners are now using neural networks to tackle problems that are either intractable or unrealistically time consuming to solve through traditional computational strategies. The inaugural volume in the Computational Intelligence Library provides speedy dissemination of new ideas to a broad spectrum of neural network users, designers and implementers. Devoted to network fundamentals, models, algorithms and applications, the work is intended to become the standard reference resource for the neural network community. As the field expands and develops, leading researchers will report on an analyze promising new approaches. In this way, the Handbook will become an evolving compendium on the state of the art of neural computation. Available in loose-leaf print form as well as in an electronic edition that combines both CD-ROM and on-line (World Wide Web) access to its contents, the Handbook of Neural Computation is available on a subscription basis, with regularly published supplements keeping readers abreast of late-breaking developments and new advances in this rapidly developing field.
Author: James B. Bittman
Publisher: McGraw Hill Professional
ISBN: 9780071367424
Category : Business & Economics
Languages : en
Pages : 344
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Book Description
Designed and written for active traders who are interested in practical information that can improve their results, Trading Index Options offers tried-and-true techniques without a lot of theory and math. Bittman provides traders with the know-how to evaluate practical situations and manage positions. Among the key features: the basics of index options, including various spreads; how to match strategies with forecasts; alternatives for losing positions; the importance of price behavior and volatility. A windows-based software program that provides multiple option pricing and graphing is included in the package.
Author: Weifeng Liu
Publisher: John Wiley & Sons
ISBN: 1118211219
Category : Science
Languages : en
Pages : 167
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Book Description
Online learning from a signal processing perspective There is increased interest in kernel learning algorithms in neural networks and a growing need for nonlinear adaptive algorithms in advanced signal processing, communications, and controls. Kernel Adaptive Filtering is the first book to present a comprehensive, unifying introduction to online learning algorithms in reproducing kernel Hilbert spaces. Based on research being conducted in the Computational Neuro-Engineering Laboratory at the University of Florida and in the Cognitive Systems Laboratory at McMaster University, Ontario, Canada, this unique resource elevates the adaptive filtering theory to a new level, presenting a new design methodology of nonlinear adaptive filters. Covers the kernel least mean squares algorithm, kernel affine projection algorithms, the kernel recursive least squares algorithm, the theory of Gaussian process regression, and the extended kernel recursive least squares algorithm Presents a powerful model-selection method called maximum marginal likelihood Addresses the principal bottleneck of kernel adaptive filters—their growing structure Features twelve computer-oriented experiments to reinforce the concepts, with MATLAB codes downloadable from the authors' Web site Concludes each chapter with a summary of the state of the art and potential future directions for original research Kernel Adaptive Filtering is ideal for engineers, computer scientists, and graduate students interested in nonlinear adaptive systems for online applications (applications where the data stream arrives one sample at a time and incremental optimal solutions are desirable). It is also a useful guide for those who look for nonlinear adaptive filtering methodologies to solve practical problems.
Author: Lawrence G. McMillan
Publisher: John Wiley & Sons
ISBN: 1118045882
Category : Business & Economics
Languages : en
Pages : 672
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Book Description
Legendary trader Larry McMillan does it-again-offering his personal options strategies for consistently enhancing trading profits Larry McMillan's name is virtually synonymous with options. This "Trader's Hall of Fame" recipient first shared his personal options strategies and techniques in the original McMillan on Options. Now, in a revised and Second Edition, this indispensable guide to the world of options addresses a myriad of new techniques and methods needed for profiting consistently in today's fast-paced investment arena. This thoroughly new Second Edition features updates in almost every chapter as well as enhanced coverage of many new and increasingly popular products. It also offers McMillan's personal philosophy on options, and reveals many of his previously unpublished personal insights. Readers will soon discover why Yale Hirsch of the Stock Trader's Almanac says, "McMillan is an options guru par excellence."
