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Quantitative investing, Ma, Lingjie


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Цена: 11878.00р.
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Автор: Ma, Lingjie
Название:  Quantitative investing
ISBN: 9783030472016
Издательство: Springer
Классификация:




ISBN-10: 3030472019
Обложка/Формат: Hardcover
Страницы: 455
Вес: 0.87 кг.
Дата издания: 06.10.2020
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 106 tables, color; 104 illustrations, color; 33 illustrations, black and white; xvii, 445 p. 137 illus., 104 illus. in color.
Размер: 23.39 x 15.60 x 2.69 cm
Читательская аудитория: Professional & vocational
Подзаголовок: From theory to industry
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book provides readers with a systematic approach to quantitative investments and bridges the gap between theory and practice, equipping students to more seamlessly enter the world of industry. In order to connect finance theories and practical industry experience, each chapter begins with a real-world finance case study.


Finding Alphas: A Quantitative Approach to Building Trading Strategies

Автор: Igor Tulchinsky
Название: Finding Alphas: A Quantitative Approach to Building Trading Strategies
ISBN: 1119571219 ISBN-13(EAN): 9781119571216
Издательство: Wiley
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Цена: 5861.00 р.
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Описание:

Discover the ins and outs of designing predictive trading models

Drawing on the expertise of WorldQuant's global network, this new edition of Finding Alphas: A Quantitative Approach to Building Trading Strategies contains significant changes and updates to the original material, with new and updated data and examples.

Nine chapters have been added about alphas - models used to make predictions regarding the prices of financial instruments. The new chapters cover topics including alpha correlation, controlling biases, exchange-traded funds, event-driven investing, index alphas, intraday data in alpha research, intraday trading, machine learning, and the triple axis plan for identifying alphas. You'll also find details of how to use WebSim, WorldQuant's web-based simulation platform, to test your alphas.

- Provides more references to the academic literature

- Includes new, high-quality material

- Organizes content in a practical and easy-to-follow manner

- Adds new alpha examples with formulas and explanations

If you're looking for the latest information on building trading strategies from a quantitative approach, this book has you covered.

Quantitative Trading

Автор: Guo, Xin , Lai, Tze Leung , Shek, Howard , Wong
Название: Quantitative Trading
ISBN: 0367871815 ISBN-13(EAN): 9780367871819
Издательство: Taylor&Francis
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Цена: 9492.00 р.
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Описание: The first part of this book discusses institutions and mechanisms of algorithmic trading, market microstructure, high-frequency data and stylized facts, time and event aggregation, order book dynamics, trading strategies and algorithms, transaction costs, market impact and execution strategies, risk analysis, and management. The second part cove

Metals and energy finance: the application of quantitative finance techniques to the evaluation of minerals, coal and petroleum projects

Автор: Buchanan, Dennis L.
Название: Metals and energy finance: the application of quantitative finance techniques to the evaluation of minerals, coal and petroleum projects
ISBN: 1786346273 ISBN-13(EAN): 9781786346278
Издательство: World Scientific Publishing
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Цена: 8712.00 р.
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Описание: 'Dennis Buchanan (TM)s text clearly shows how an understanding of the complementary disciplines of geoscience, conventional engineering and advanced financial engineering is essential to making the right decisions concerning how to appraise a resource or project and how to structure the funding of natural resources assets in order to mitigate technical and financial risk and to maximise value for owners. Crucially, the book also looks at how other sources of capital, such as limited recourse lenders, appraise metals and energy assets. Such an understanding is essential to optimising the capital structure and valuation of natural resources assets ... The advanced methodologies revealed in Dennis Buchanan (TM)s book will have great value to those working in the technical and financial functions, or to those spanning both functions, of the natural resources industry. 'Mineral EconomicsGiven the design component it involves, financial engineering should be considered equal to conventional engineering. By adopting this complementary approach, financial models can be used to identify how and why timing is critical in optimizing return on investment and to demonstrate how financial engineering can enhance returns to investors. Metals and Energy Finance capitalizes on this approach, and identifies and examines the investment opportunities offered across the extractive industry's cycle, from exploration through evaluation, pre-production development, development and production. The textbook also addresses the similarities of a range of natural resource projects, whether minerals or petroleum, while at the same time identifying their key differences.This new edition has been comprehensively revised with a new chapter on Quantitative Finance and three additional case studies. Contemporary themes in the revised edition include the current focus on the transition from open pit to underground mining as well as the role of real option valuations applied to marginal projects that may have value in the future.This innovative textbook is clear and concise in its approach. Both authors have extensive experience within the academic environment at a senior level as well as track records of hands-on participation in projects within the natural resources and financial services sectors. Metals and Energy Finance will be invaluable to both professionals and graduate students working in the field of mineral and petroleum business management.

Machine Learning for Asset Managers

Автор: Marcos Lopez de Prado
Название: Machine Learning for Asset Managers
ISBN: 1108792898 ISBN-13(EAN): 9781108792899
Издательство: Cambridge Academ
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Цена: 2851.00 р.
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Описание: The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers discover economic and financial theories. ML is not a black box, and it does not necessarily overfit. ML tools complement rather than replace the classical statistical methods.

An introduction to machine learning in quantitative finance

Автор: Guangxi Yu, Hao Ni, Jinsong Zheng, Xin Dong
Название: An introduction to machine learning in quantitative finance
ISBN: 1786349647 ISBN-13(EAN): 9781786349644
Издательство: World Scientific Publishing
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Цена: 7128.00 р.
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Описание: In today`s world, we are increasingly exposed to the words "machine learning" (ML), a term which sounds like a panacea designed to cure all problems ranging from image recognition to machine language translation.

Value Investing, Second Edition: From Graham to Bu ffett and Beyond

Автор: Greenwald
Название: Value Investing, Second Edition: From Graham to Bu ffett and Beyond
ISBN: 0470116730 ISBN-13(EAN): 9780470116739
Издательство: Wiley
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Цена: 4594.00 р.
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Описание: * A second edition to the classic and widely popular Value Investing, which was hailed as better than Benjamin Graham s 1950, The Intelligent Investor.

Multivariate Analysis for the Behavioral Sciences, Second Edition

Автор: Kimmo Vehkalahti , Brian S. Everitt
Название: Multivariate Analysis for the Behavioral Sciences, Second Edition
ISBN: 0815385153 ISBN-13(EAN): 9780815385158
Издательство: Taylor&Francis
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Цена: 13014.00 р.
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Описание: Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists.

The DAO of Capital: Austrian Investing in a Distorted World

Автор: Spitznagel Mark
Название: The DAO of Capital: Austrian Investing in a Distorted World
ISBN: 111834703X ISBN-13(EAN): 9781118347034
Издательство: Wiley
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Цена: 3802.00 р.
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Описание: As today`s preeminent doomsday investor Mark Spitznagel describes his Daoist and roundabout investment approach, one gains by losing and loses by gaining.

The Art of Quantitative Finance Vol.1

Автор: Larcher
Название: The Art of Quantitative Finance Vol.1
ISBN: 3031238729 ISBN-13(EAN): 9783031238727
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This textbook offers an easily understandable introduction to the fundamental concepts of financial mathematics and financial engineering. The author presents and discusses the basic concepts of financial engineering and illustrates how to trade and to analyze financial products with numerous examples. Special attention is given to the valuation of basic financial derivatives. In the final section of the book, the author introduces the Wiener Stock Price Model and the basic principles of Black-Scholes theory. The book’s aim is to introduce readers to the basic techniques of modern financial mathematics in a way that is intuitive and easy to follow, and to provide financial mathematicians with insights into practical requirements when applying financial mathematical techniques in the real world.

Quantitative Methods for Electricity Trading and Risk Management

Автор: S. Fiorenzani
Название: Quantitative Methods for Electricity Trading and Risk Management
ISBN: 134952221X ISBN-13(EAN): 9781349522217
Издательство: Springer
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Цена: 27950.00 р.
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Описание: This book presents practical Risk Management and Trading applications for the Electricity Markets. Various methodologies developed over the last few years are considered and current literature is reviewed. The book emphasizes the relationship between trading, hedging and generation asset management.

Causal factor investing

Автор: Lopez De Prado, Marcos M. (adia Lab)
Название: Causal factor investing
ISBN: 100939729X ISBN-13(EAN): 9781009397292
Издательство: Cambridge Academ
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Цена: 2693.00 р.
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Описание: Virtually all journal articles in the factor investing literature make associational claims, in denial of the causal content of factor models. Authors do not identify the causal graph consistent with the observed phenomenon, they justify their chosen model specification in terms of correlations, and they do not propose experiments for falsifying causal mechanisms. Absent a causal theory, their findings are likely false, due to rampant backtest overfitting and incorrect specification choices. This Element differentiates between type-A and type-B spurious claims, and explains how both types prevent factor investing from advancing beyond its current phenomenological stage. It analyzes the current state of causal confusion in the factor investing literature, and proposes solutions with the potential to transform factor investing into a truly scientific discipline. This title is also available as Open Access on Cambridge Core.

Advances in retirement investing

Автор: Lionel Martellini, Martellini Vincent Milhau, Milhau
Название: Advances in retirement investing
ISBN: 1108926622 ISBN-13(EAN): 9781108926621
Издательство: Cambridge Academ
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Цена: 2851.00 р.
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Описание: To supplement replacement income provided by Social Security and employer sponsored pension plans, individuals rely on their saving and investment choices during accumulation. Once retired, they must decide which rate to spend their savings. This Element explains how financial engineering and risk management techniques can help in these decisions.


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