An introduction to machine learning in quantitative finance, Guangxi Yu, Hao Ni, Jinsong Zheng, Xin Dong
Автор: McNeil Alexander J. Название: Quantitative Risk Management ISBN: 0691166277 ISBN-13(EAN): 9780691166278 Издательство: Wiley Рейтинг: Цена: 15048.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book provides the most comprehensive treatment of the theoretical concepts and modelling techniques of quantitative risk management. Whether you are a financial risk analyst, actuary, regulator or student of quantitative finance, Quantitative Risk Management gives you the practical tools you need to solve real-world problems.
Describing the latest advances in the field, Quantitative Risk Management covers the methods for market, credit and operational risk modelling. It places standard industry approaches on a more formal footing and explores key concepts such as loss distributions, risk measures and risk aggregation and allocation principles. The book's methodology draws on diverse quantitative disciplines, from mathematical finance and statistics to econometrics and actuarial mathematics. A primary theme throughout is the need to satisfactorily address extreme outcomes and the dependence of key risk drivers. Proven in the classroom, the book also covers advanced topics like credit derivatives.
Fully revised and expanded to reflect developments in the field since the financial crisis
Features shorter chapters to facilitate teaching and learning
Provides enhanced coverage of Solvency II and insurance risk management and extended treatment of credit risk, including counterparty credit risk and CDO pricing
Includes a new chapter on market risk and new material on risk measures and risk aggregation
Описание: This book puts numerical methods in action for the purpose of solving practical problems arising in quantitative finance. Part one develops a comprehensive toolkit including Monte Carlo simulation, numerical schemes for partial differential equations, stochastic optimization in discrete time, copula functions, Laplace transforms and quadrature methods. Part two proposes eighteen self-contained cases covering model simulation, derivative valuation, dynamic hedging, portfolio selection, risk management, statistical estimation and calibration. It encompasses a wide variety of problems arising in markets for equity, interest rates, credit risk, energy and exotic derivatives. Each case introduces a problem, develops a detailed solution and illustrates empirical results. Proposed algorithms are implemented using either Matlab or Visual Basic. The book originates from class notes and case-studies developed within courses on Numerical Methods for Finance and Exotic Derivatives held by the authors at Bocconi University since the year 2000.
Автор: Paul Wilmott Название: Paul Wilmott Introduces Quantitative Finance ISBN: 0471498629 ISBN-13(EAN): 9780471498629 Издательство: Wiley Цена: 5542.00 р. Наличие на складе: Поставка под заказ.
Описание: In this student edition the author gives a comprehensive introduction to theory and practice of financial engineering in a manner designed to be accessible to students and those who are new to the financial markets. It is presented in a unique and accessible style with illustrations, graphs and side-bars with explanations working through the maths. The author's style from his previous book of providing the reader with answers to the problems has been maintained throughout this expanded work.
Автор: Andrew Fight Название: Introduction to Project Finance, ISBN: 075065905X ISBN-13(EAN): 9780750659055 Издательство: Elsevier Science Рейтинг: Цена: 6904.00 р. Наличие на складе: Поставка под заказ.
Описание: Aims to provide an overview of project finance. This book helps students, and those already in the finance profession, to gain an understanding of the basic information and principles of project finance. It includes questions with answers, study topics, practical `real world` examples and an extensive bibliography.
Автор: Guangxi Yu, Hao Ni, Jinsong Zheng, Xin Dong Название: Introduction To Machine Learning In Quantitative Finance, An ISBN: 1786349361 ISBN-13(EAN): 9781786349361 Издательство: World Scientific Publishing Рейтинг: Цена: 12672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Blyth Stephen Название: An Introduction to Quantitative Finance ISBN: 0199666598 ISBN-13(EAN): 9780199666591 Издательство: Oxford Academ Рейтинг: Цена: 6810.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The quantitative nature of complex financial transactions makes them a fascinating subject area for mathematicians of all types. This book gives an insight into financial engineering while building on introductory probability courses by detailing one of the most fascinating applications of the subject.
Автор: Ting Christopher Hian Ann Название: Introduction To Quantitative Finance, An: A Three-Principle Approach ISBN: 981470430X ISBN-13(EAN): 9789814704304 Издательство: World Scientific Publishing Цена: 8554.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This Concise Textbook Provides A Unique Framework To Introduce Quantitative Finance To Advanced Undergraduate And Beginning Postgraduate Students. Inspired By Newton'S Three Laws Of Motion, Three Principles Of Quantitative Finance Are Proposed To Help Practitioners Also To Understand The Pricing Of Plain Vanilla Derivatives And Fixed Income Securities.The Book Provides A Refreshing Perspective On Box'S Thesis That "All Models Are Wrong, But Some Are Useful." Being Practice- And Market-Oriented, The Author Focuses On Financial Derivatives That Matter Most To Practitioners.The Three Principles Of Quantitative Finance Serve As Buoys For Navigating The Treacherous Waters Of Hypotheses, Models, And Gaps Between Theory And Practice. The Author Shows That A Risk-Based Parsimonious Model For Modeling The Shape Of The Yield Curve, The Arbitrage-Free Properties Of Options, The Black-Scholes And Binomial Pricing Models, Even The Capital Asset Pricing Model And The Modigliani-Miller Propositions Can Be Obtained Systematically By Applying The Normative Principles Of Quantitative Finance.
Автор: Guida Название: Big Data and Machine Learning in Quantitative Investment ISBN: 1119522196 ISBN-13(EAN): 9781119522195 Издательство: Wiley Рейтинг: Цена: 6653.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Get to know the 'why' and 'how' of machine learning and big data in quantitative investment
Big Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, it's a book by practitioners for practitioners, covering the questions of why and how of applying machine learning and big data to quantitative finance.
The book is split into 13 chapters, each of which is written by a different author on a specific case. The chapters are ordered according to the level of complexity; beginning with the big picture and taxonomy, moving onto practical applications of machine learning and finally finishing with innovative approaches using deep learning.
- Gain a solid reason to use machine learning
- Frame your question using financial markets laws
- Know your data
- Understand how machine learning is becoming ever more sophisticated
Machine learning and big data are not a magical solution, but appropriately applied, they are extremely effective tools for quantitative investment -- and this book shows you how.
Автор: Ross Название: An Elementary Introduction to Mathematical Finance ISBN: 0521192536 ISBN-13(EAN): 9780521192538 Издательство: Cambridge Academ Рейтинг: Цена: 9186.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook on the basics of option pricing is accessible to readers with limited mathematical training. It is for both professional traders and undergraduates studying the basics of finance. This third edition includes three new chapters, along with expanded sets of exercises and references for all the chapters.
Автор: Shleifer, Andrei Название: Inefficient Markets: An Introduction to Behavioural Finance ISBN: 0198292287 ISBN-13(EAN): 9780198292289 Издательство: Oxford Academ Рейтинг: Цена: 23760.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: `The Efficient Markets Hypothesis` has been the central proposition of finance for nearly 30 years. This book presents an alternative view of financial markets: behavioural finance. Shleifer demonstrates the oversimplification of EMH both in the common assumption of perfect rationality and the failure of arbitrage to adjust prices correctly.
Автор: Reitano, Robert R. (professor Of The Practice In Finance, Brandeis University) Название: Introduction to quantitative finance ISBN: 026201369X ISBN-13(EAN): 9780262013697 Издательство: MIT Press Рейтинг: Цена: 14390.00 р. Наличие на складе: Нет в наличии.
Описание: An introduction to many mathematical topics applicable to quantitative finance that teaches how to "think in mathematics" rather than simply do mathematics by rote.
Автор: Nico van der Wijst Название: Finance: A Quantitative Introduction ISBN: 1107029228 ISBN-13(EAN): 9781107029224 Издательство: Cambridge Academ Рейтинг: Цена: 8078.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: By providing a solid theoretical basis in finance this textbook introduces modern finance to readers, with emphasis on investments in real assets and the real options attached to them, including students in science and technology, who have a good foundation in quantitative skills.
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