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Applications of Computational Intelligence in Data–Driven Trading, Cris Doloc


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Цена: 7524.00р.
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Автор: Cris Doloc
Название:  Applications of Computational Intelligence in Data–Driven Trading
ISBN: 9781119550501
Издательство: Wiley
Классификация:


ISBN-10: 1119550505
Обложка/Формат: Hardback
Страницы: 304
Вес: 0.63 кг.
Дата издания: 05.12.2019
Серия: Economics/Business/Finance
Язык: English
Размер: 236 x 479 x 17
Читательская аудитория: Professional & vocational
Ключевые слова: Finance & accounting
Основная тема: Finance & accounting
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание:

Life on earth is filled with many mysteries, but perhaps the most challenging of these is the nature of Intelligence.

- Prof. Terrence J. Sejnowski, Computational Neurobiologist

The main objective of this book is to create awareness about both the promises and the formidable challenges that the era of Data-Driven Decision-Making and Machine Learning are confronted with, and especially about how these new developments may influence the future of the financial industry.

The subject of Financial Machine Learning has attracted a lot of interest recently, specifically because it represents one of the most challenging problem spaces for the applicability of Machine Learning. The author has used a novel approach to introduce the reader to this topic:

  • The first half of the book is a readable and coherent introduction to two modern topics that are not generally considered together: the data-driven paradigm and Computational Intelligence.
  • The second half of the book illustrates a set of Case Studies that are contemporarily relevant to quantitative trading practitioners who are dealing with problems such as trade execution optimization, price dynamics forecast, portfolio management, market making, derivatives valuation, risk, and compliance.

The main purpose of this book is pedagogical in nature, and it is specifically aimed at defining an adequate level of engineering and scientific clarity when it comes to the usage of the term Artificial Intelligence, especially as it relates to the financial industry.

The message conveyed by this book is one of confidence in the possibilities offered by this new era of Data-Intensive Computation. This message is not grounded on the current hype surrounding the latest technologies, but on a deep analysis of their effectiveness and also on the authors two decades of professional experience as a technologist, quant and academic.




Optimal Mean Reversion Trading: Mathematical Analysis And Practical Applications

Автор: Leung Tim Siu-Tang & Li Xin
Название: Optimal Mean Reversion Trading: Mathematical Analysis And Practical Applications
ISBN: 9814725919 ISBN-13(EAN): 9789814725910
Издательство: World Scientific Publishing
Цена: 13939.00 р.
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Описание:

Optimal Mean Reversion Trading: Mathematical Analysis and Practical Applications provides a systematic study to the practical problem of optimal trading in the presence of mean-reverting price dynamics. It is self-contained and organized in its presentation, and provides rigorous mathematical analysis as well as computational methods for trading ETFs, options, futures on commodities or volatility indices, and credit risk derivatives.

This book offers a unique financial engineering approach that combines novel analytical methodologies and applications to a wide array of real-world examples. It extracts the mathematical problems from various trading approaches and scenarios, but also addresses the practical aspects of trading problems, such as model estimation, risk premium, risk constraints, and transaction costs. The explanations in the book are detailed enough to capture the interest of the curious student or researcher, and complete enough to give the necessary background material for further exploration into the subject and related literature.

This book will be a useful tool for anyone interested in financial engineering, particularly algorithmic trading and commodity trading, and would like to understand the mathematically optimal strategies in different market environments.

Computational Intelligence in Economics and Finance

Автор: Paul P. Wang
Название: Computational Intelligence in Economics and Finance
ISBN: 3642079024 ISBN-13(EAN): 9783642079023
Издательство: Springer
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Цена: 34799.00 р.
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Computational Intelligence in Economics and Finance

Автор: Paul P. Wang; Tzu-Wen Kuo
Название: Computational Intelligence in Economics and Finance
ISBN: 3642091938 ISBN-13(EAN): 9783642091933
Издательство: Springer
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Цена: 19564.00 р.
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Описание: In addition to direct applications of computational intelligence, readers can also observe how these methods are combined with conventional analytical methods such as statistical and econometric models to yield preferred results.

Financial Decision Making Using Computational Intelligence

Автор: Michael Doumpos; Constantin Zopounidis; Panos M. P
Название: Financial Decision Making Using Computational Intelligence
ISBN: 1489990089 ISBN-13(EAN): 9781489990082
Издательство: Springer
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Цена: 18167.00 р.
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Описание: The increasing complexity of financial problems and the enormous volume of financial data often make it difficult to apply traditional modeling and algorithmic procedures.

Simulation in Computational Finance and Economics: Tools and Emerging Applications

Автор: Biliana Alexandrova-Kabadjova, Serafin Martinez-Jaramillo, Alma Lilia Garcia-Almanza, Edward Tsang
Название: Simulation in Computational Finance and Economics: Tools and Emerging Applications
ISBN: 1466620110 ISBN-13(EAN): 9781466620117
Издательство: Mare Nostrum (Eurospan)
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Цена: 27027.00 р.
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Описание: Simulation in Computational Finance and Economics: Tools and Emerging Applications presents a thorough collection of works, covering several rich and highly productive areas of research including Risk Management, Agent-Based Simulation, and Payment Methods and Systems, topics that have found new motivations after the strong recession experienced in the last few years. Despite the fact that simulation is widely accepted as a prominent tool, dealing with a simulation-based project requires specific management abilities of the researchers. Economic researchers will find an excellent reference to introduce them to the computational simulation models. The works presented in this book can be used as an inspiration for economic researchers interested in creating their own computational models in their respective fields.

Elementary Financial Derivatives: A Guide to Trading and Valuation with Applications

Автор: Sacks Jana
Название: Elementary Financial Derivatives: A Guide to Trading and Valuation with Applications
ISBN: 1119076757 ISBN-13(EAN): 9781119076759
Издательство: Wiley
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Цена: 14248.00 р.
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Описание:

A step-by-step approach to the mathematical financial theory and quantitative methods needed to implement and apply state-of-the-art valuation techniques

Written as an accessible and appealing introduction to financial derivatives, "Elementary Financial Derivatives: A Guide to Trading and Valuation with Application"s provides the necessary techniques for teaching and learning complex valuation techniques. Filling the current gap in financial engineering literature, the book emphasizes an easy-to-understand approach to the methods and applications of complex concepts without focusing on the underlying statistical and mathematical theories.

Organized into three comprehensive sections, the book discusses the essential topics of the derivatives market with sections on options, swaps, and financial engineering concepts applied primarily, but not exclusively, to the futures market. Providing a better understanding of how to assess risk exposure, the book also includes: A wide range of real-world applications and examples detailing the theoretical concepts discussed throughout Numerous homework problems, highlighted equations, and Microsoft(R) Office Excel(R) modules for valuation Pedagogical elements such as solved case studies, select answers to problems, and key terms and concepts to aid comprehension of the presented material A companion website that contains an Instructor's Solutions Manual, sample lecture PowerPoint(R) slides, and related Excel files and data sets

"Elementary Financial Derivatives: A Guide to Trading and Valuation with Applications "is an excellent introductory textbook for upper-undergraduate courses in financial derivatives, quantitative finance, mathematical finance, and financial engineering. The book is also a valuable resource for practitioners in quantitative finance, industry professionals who lack technical knowledge of pricing options, and readers preparing for the CFA exam.

Jana Sacks, PhD, is Associate Professor in the Department of Accounting and Finance at St. John Fisher College in Rochester, New York. A member of The American Finance Association, the National Association of Corporate Directors, and the International Atlantic Economic Society, Dr. Sack's research interests include risk management, credit derivatives, pricing, hedging, and structured finance.


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