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Mining Data for Financial Applications, Valerio Bitetta; Ilaria Bordino; Andrea Ferretti;


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Цена: 6986.00р.
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Автор: Valerio Bitetta; Ilaria Bordino; Andrea Ferretti;
Название:  Mining Data for Financial Applications
ISBN: 9783030377199
Издательство: Springer
Классификация:




ISBN-10: 3030377199
Обложка/Формат: Soft cover
Страницы: 133
Вес: 0.23 кг.
Дата издания: 2020
Серия: Lecture Notes in Artificial Intelligence
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 27 illustrations, color; 10 illustrations, black and white; ix, 133 p. 37 illus., 27 illus. in color.
Размер: 234 x 156 x 8
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: 4th ECML PKDD Workshop, MIDAS 2019, W?rzburg, Germany, September 16, 2019, Revised Selected Papers
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes revised selected papers from the 4th Workshop on Mining Data for Financial Applications, MIDAS 2019, held in conjunction with ECML PKDD 2019, in Wurzburg, Germany, in September 2019. The 8 full and 3 short papers presented in this volume were carefully reviewed and selected from 16 submissions.


Financial Decisions and Markets: A Course in Asset Pricing

Автор: Campbell John Y.
Название: Financial Decisions and Markets: A Course in Asset Pricing
ISBN: 0691160805 ISBN-13(EAN): 9780691160801
Издательство: Wiley
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Цена: 12672.00 р.
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Описание:

From the field's leading authority, the most authoritative and comprehensive advanced-level textbook on asset pricing

Financial Decisions and Markets is a graduate-level textbook that provides a broad overview of the field of asset pricing. John Campbell, one of the field's most respected authorities, introduces students to leading theories of portfolio choice, their implications for asset prices, and empirical patterns of risk and return in financial markets. Campbell emphasizes the interplay of theory and evidence, as theorists respond to empirical puzzles by developing models with new testable implications. Increasingly these models make predictions not only about asset prices but also about investors' financial positions, and they often draw on insights from behavioral economics.

After a careful introduction to single-period models, Campbell develops multiperiod models with time-varying discount rates, reviews the leading approaches to consumption-based asset pricing, and integrates the study of equities and fixed-income securities. He discusses models with heterogeneous agents who use financial markets to share their risks, but also may speculate against one another on the basis of different beliefs or private information. Campbell takes a broad view of the field, linking asset pricing to related areas, including financial econometrics, household finance, and macroeconomics. The textbook works in discrete time throughout, and does not require stochastic calculus. Problems are provided at the end of each chapter to challenge students to develop their understanding of the main issues in financial economics.

The most comprehensive and balanced textbook on asset pricing available, Financial Decisions and Marketswill be an essential resource for all graduate students in finance and related fields.

  • Integrated treatment of asset pricing theory and empirical evidence
  • Emphasis on investors' decisions
  • Broad view linking the field to areas including financial econometrics, household finance, and macroeconomics
  • Topics treated in discrete time, with no requirement for stochastic calculus
  • Solutions manual for problems available to professors
Data Mining. Practical Machine Learning Tools and Techniques, 4 ed.

Автор: Witten, Ian H.
Название: Data Mining. Practical Machine Learning Tools and Techniques, 4 ed.
ISBN: 0128042915 ISBN-13(EAN): 9780128042915
Издательство: Elsevier Science
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Цена: 9262.00 р.
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Описание:

Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.

Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research.

Please visit the book companion website at https: //www.cs.waikato.ac.nz/ ml/weka/book.html.

It contains

  • Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book
  • Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book
  • Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.

  • Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects
  • Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods
  • Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface
  • Includes open-access online courses that introduce practical applications of the material in the book
Data Analytics Applications in Gaming and Entertainment

Автор: Gunter Wallner
Название: Data Analytics Applications in Gaming and Entertainment
ISBN: 1138104434 ISBN-13(EAN): 9781138104433
Издательство: Taylor&Francis
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Цена: 16078.00 р.
Наличие на складе: Поставка под заказ.

Описание: Over the last decade big data and data mining has received growing interest and importance in game production to process and draw actionable insights from large volumes of player-related data in order to inform game design, to ensure customer satisfaction, to maximize revenues, and to drive technical innovation.

Financial Calculus

Название: Financial Calculus
ISBN: 0521552893 ISBN-13(EAN): 9780521552899
Издательство: Cambridge Academ
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Цена: 12355.00 р.
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Описание: Here is a rigorous and accessible account of the mathematics behind the pricing, construction and hedging of derivative securities. An essential purchase for market practitioners, quantitative analysts, and derivatives traders, whether existing or trainees, in investment banks in the major financial centres throughout the world.

Essentials of Time Series for Financial Applications

Автор: Guidolin, Massimo
Название: Essentials of Time Series for Financial Applications
ISBN: 0128134097 ISBN-13(EAN): 9780128134092
Издательство: Elsevier Science
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Цена: 13304.00 р.
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Описание: Essentials of Time Series for Financial Applications serves as an agile reference for upper level students and practitioners who desire a formal, easy-to-follow introduction to the most important time series methods applied in financial applications (pricing, asset management, quant strategies, and risk management). Real-life data and examples developed with EViews illustrate the links between the formal apparatus and the applications. The examples either directly exploit the tools that EViews makes available or use programs that by employing EViews implement specific topics or techniques. The book balances a formal framework with as few proofs as possible against many examples that support its central ideas. Boxes are used throughout to remind readers of technical aspects and definitions and to present examples in a compact fashion, with full details (workout files) available in an on-line appendix. The more advancedchapters providediscussion sections that refer to more advanced textbooks or detailed proofs.


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