Автор: Marcos Lopez de Prado Название: Machine Learning for Asset Managers ISBN: 1108792898 ISBN-13(EAN): 9781108792899 Издательство: Cambridge Academ Рейтинг: Цена: 19010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: McNeil Alexander J. Название: Quantitative Risk Management ISBN: 0691166277 ISBN-13(EAN): 9780691166278 Издательство: Wiley Рейтинг: Цена: 100320.00 T 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
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 Рейтинг: Цена: 58080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Ravindran Kannoo Название: Mathematics of Financial Models + Website ISBN: 1118004612 ISBN-13(EAN): 9781118004616 Издательство: Wiley Рейтинг: Цена: 79200.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Learn how quantitative models can help fight client problems head-on Before financial problems can be solved, they need to be fully understood.
Автор: Brealey Richard Название: Principles of Corporate Finance 13 ed. ISBN: 1260565556 ISBN-13(EAN): 9781260565553 Издательство: McGraw-Hill Рейтинг: Цена: 70910.00 T Наличие на складе: Невозможна поставка. Описание: Brealey, Principles of Corporate Finance, 13e, describes the theory and practice of corporate finance. We hardly need to explain why financial managers have to master the practical aspects of their job, but we should spell out why down-to-earth managers need to bother with theory. Throughout this book, we show how managers use financial theory to solve practical problems.
Much of this book is concerned with understanding what financial managers do and why. But we also say what financial managers should do to increase company value. Some of the biggest changes in this edition were prompted by the tax changes enacted in the U.S.
Tax Cuts and Jobs Act passed in December 2017. In the current edition, we have also continued to augment the international content as well as a number of chapters that have been thoroughly rewritten. For example, the material on agency issues in Chapter 12 has been substantially revised.
Chapter 13 on market efficiency and behavioral finance is now fresher and more up to date. Chapter 23 on credit risk focuses more on the practical issues of forecasting default probabilities.
Автор: Guyon Название: Nonlinear Pricing Methods in Quantitative Finance ISBN: 1466570334 ISBN-13(EAN): 9781466570337 Издательство: Taylor&Francis Рейтинг: Цена: 183750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
New Tools to Solve Your Option Pricing Problems
For nonlinear PDEs encountered in quantitative finance, advanced probabilistic methods are needed to address dimensionality issues. Written by two leaders in quantitative research--including Risk magazine's 2013 Quant of the Year--Nonlinear Option Pricing compares various numerical methods for solving high-dimensional nonlinear problems arising in option pricing. Designed for practitioners, it is the first authored book to discuss nonlinear Black-Scholes PDEs and compare the efficiency of many different methods.
Real-World Solutions for Quantitative Analysts
The book helps quants develop both their analytical and numerical expertise. It focuses on general mathematical tools rather than specific financial questions so that readers can easily use the tools to solve their own nonlinear problems. The authors build intuition through numerous real-world examples of numerical implementation. Although the focus is on ideas and numerical examples, the authors introduce relevant mathematical notions and important results and proofs. The book also covers several original approaches, including regression methods and dual methods for pricing chooser options, Monte Carlo approaches for pricing in the uncertain volatility model and the uncertain lapse and mortality model, the Markovian projection method and the particle method for calibrating local stochastic volatility models to market prices of vanilla options with/without stochastic interest rates, the a + bλ technique for building local correlation models that calibrate to market prices of vanilla options on a basket, and a new stochastic representation of nonlinear PDE solutions based on marked branching diffusions.
Автор: Crispoldi Christian Название: SABR and SABR LIBOR Market Models in Practice ISBN: 1137378638 ISBN-13(EAN): 9781137378637 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A hands-on guide to interest rate modelling, including the SABR model, the market standard for vanilla products, and the LIBOR market model, the most commonly used model for exotic products. This accessible book also provides an explanation of the extended SABR LIBOR market model.
Автор: Krippner Название: Zero Lower Bound Term Structure Modeling ISBN: 1137408324 ISBN-13(EAN): 9781137408327 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Nominal yields on government debt in several countries have fallen very near their zero lower bound (ZLB), causing a liquidity trap and limiting the capacity to stimulate economic growth. This book provides a comprehensive reference to ZLB structure modeling in an applied setting.
Автор: Brockhaus Oliver Название: Equity Derivatives and Hybrids ISBN: 1137349484 ISBN-13(EAN): 9781137349484 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: this book provides an up-to-date account of equity and equity-hybrid (equity-rates, equity-credit, equity-foreign exchange) derivatives modeling from a practitioner`s perspective.
Автор: Mahoney Daniel Название: Modeling and Valuation of Energy Structures ISBN: 1137560142 ISBN-13(EAN): 9781137560148 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Commodity markets present several challenges for quantitative modeling. In addition, the set of traded products in commodity markets is more limited than in financial or equity markets, making value extraction through trading more difficult.
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 Рейтинг: Цена: 47520.00 T 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: Nico van der Wijst Название: Finance: A Quantitative Introduction ISBN: 1107029228 ISBN-13(EAN): 9781107029224 Издательство: Cambridge Academ Рейтинг: Цена: 53850.00 T 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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