Автор: Marcos Lopez de Prado Название: Machine Learning for Asset Managers ISBN: 1108792898 ISBN-13(EAN): 9781108792899 Издательство: Cambridge Academ Рейтинг: Цена: 2851.00 р. 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.
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: Nicholas L. Georgakopoulos Название: Illustrating Finance Policy with Mathematica ISBN: 3030070220 ISBN-13(EAN): 9783030070229 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Students in various disciplines—from law and government to business and health policy—need to understand several quantitative aspects of finance (such as the capital asset pricing model or financial options) and policy analysis (e.g., assessing the weight of probabilistic evidence) but often have little quantitative background. This book illustrates those phenomena and explains how to illustrate them using the powerful visuals that computing can produce. Of particular interest to graduate students and scholars in need of sharper quantitative methods, this book introduces the reader to Mathematica, enables readers to use Mathematica to produce their own illustrations, and places specific emphasis on finance and policy as well as the foundations of probability theory.
Автор: Stephen Satchell Название: Forecasting Volatility in the Financial Markets, ISBN: 075066942X ISBN-13(EAN): 9780750669429 Издательство: Elsevier Science Рейтинг: Цена: 13109.00 р. Наличие на складе: Поставка под заказ.
Описание: Forecasting Volatility in the Financial Markets, Third Editionassumes that the reader has a firm grounding in the key principles and methods of understanding volatility measurement and builds on that knowledge to detail cutting-edge modelling and forecasting techniques. It provides a survey of ways to measure risk and define the different models of volatility and return. Editors John Knight and Stephen Satchell have brought together an impressive array of contributors who present research from their area of specialization related to volatility forecasting. Readers with an understanding of volatility measures and risk management strategies will benefit from this collection of up-to-date chapters on the latest techniques in forecasting volatility. Chapters new to this third edition:* What good is a volatility model? Engle and Patton* Applications for portfolio variety Dan diBartolomeo* A comparison of the properties of realized variance for the FTSE 100 and FTSE 250 equity indices Rob Cornish* Volatility modeling and forecasting in finance Xiao and Aydemir* An investigation of the relative performance of GARCH models versus simple rules in forecasting volatility Thomas A. Silvey
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: 7128.00 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: 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: T. Kariya Название: Quantitative Methods for Portfolio Analysis ISBN: 9401047545 ISBN-13(EAN): 9789401047548 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Quantitative Methods for Portfolio Analysis provides practical models and methods for the quantitative analysis of financial asset prices, construction of various portfolios, and computer-assisted trading systems.
Описание: The first section provides a description of the investment management process providing a context for quantitative techniques. Section 2 addresses different quantitative techniques as applied to investment management. Section 3 brings together issues such as currency management, performance measurement and appraisal and performance analysis.
Автор: Thomas Mazzoni Название: A First Course in Quantitative Finance ISBN: 1108419577 ISBN-13(EAN): 9781108419574 Издательство: Cambridge Academ Рейтинг: Цена: 14890.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A First Course in Quantitative Finance is suitable for economics, finance, econometrics and mathematics students with an interest in quantitative finance. Covering all topics from the architecture of financial markets to derivatives, it uses stereoscopic images to allow 3D visualisation of complex subjects without the need for additional tools.
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: Guyon Название: Nonlinear Pricing Methods in Quantitative Finance ISBN: 1466570334 ISBN-13(EAN): 9781466570337 Издательство: Taylor&Francis Рейтинг: Цена: 27562.00 р. 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.
THIS IS A MUST READ! This pocket edition contains a careful selection of 20 brain teasers, 30 thinking questions, and over 100 non-quantitative questions, collected from actual job interviews in investment banking, investment management, and options trading. The interviewers use the same questions year-after-year, and here they are. The brain teasers and more than half the thinking questions are presented with detailed solutions. Note that there is also a complementary pocket edition available of quantitative questions with detailed answers taken from the same interviews (ISBN 978-0-9941-38-1-9). The questions in these pocket editions are a careful selection taken from the full sized edition of Heard on The Street: Quantitative Questions from Wall Street Job Interviews (i.e., this pocket-sized book contains a subset of the content of the larger book; so, don't buy both). The full size edition is the first and the original book of quantitative questions from finance job interviews. It has been painstakingly revised over 18 years and 14 editions, and has been shaped by feedback from many hundreds of readers. With over 50,000 copies in print, its readership is unmatched by any competing book.This pocket edition contains a revised section on interview technique based on Dr. Crack's experiences interviewing candidates and also based on feedback from interviewers worldwide. The questions come from all types of interviews (corporate finance, sales and trading, quant research, etc.), and from all levels of interviews (undergraduate, MS, MBA, PhD). Dr. Crack has a PhD from MIT. He has won many teaching awards, and has publications in the top academic, practitioner, and teaching journals in finance. He has degrees/diplomas in Mathematics/Statistics, Finance, Financial Economics and Accounting/Finance. Dr. Crack taught at the university level for over 20 years including four years as a front line teaching assistant for MBA students at MIT. He has worked as an independent consultant to the New York Stock Exchange, and his most recent practitioner job was as the head of a quantitative active equity research team at what was the world's largest institutional money manager.Dr. Crack is also the author of Basic Black-Scholes: Option Pricing and Trading, and Foundations for Scientific Investing: Capital Markets Intuition and Critical Thinking Skills.
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