Numerical Methods in Finance: A MATLAB-Based Introduction, Paolo Brandimarte
Новое издание
Автор: Brandimarte, Paolo Название: Numerical Methods in Finance and Economics ISBN: 0471745030 ISBN-13(EAN): 9780471745037 Издательство: Wiley Цена: 25903 р. Наличие на складе: Есть у поставщикаПоставка под заказ. Описание: A state-of-the-art introduction to the powerful mathematical and statistical tools used in the field of finance The use of mathematical models and numerical techniques is a practice employed by a growing number of applied mathematicians working on applications in finance.
Описание: MATLAB is a programme which lends itself to the implementation of most numerical algorithms. This text, which uses MATLAB, gives an overview of structured programming and numerical methods and covers numerical methods for solving a range of problems, from integration to the numerical solution of differential equations.
Автор: Andrew Fight Название: Introduction to Project Finance, ISBN: 075065905X ISBN-13(EAN): 9780750659055 Издательство: Elsevier Science Рейтинг: Цена: 7479 р. Наличие на складе: Нет в наличии.
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: Manfred Gilli Название: Numerical Methods and Optimization in Finance, ISBN: 0123756626 ISBN-13(EAN): 9780123756626 Издательство: Elsevier Science Рейтинг: Цена: 15143 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This bookdescribes computational financetools. It covers fundamental numerical analysis and computational techniques, such asoption pricing, and givesspecial attention tosimulation and optimization. Many chapters are organized as case studies aroundportfolio insurance and risk estimation problems. In particular, several chapters explain optimization heuristics and how to use them for portfolio selection and in calibration of estimation and option pricing models. Such practical examples allow readers to learn the steps for solving specific problems and apply these steps to others. At the same time, the applications are relevant enough to make the book a useful reference. Matlab and R sample code is provided in the text and can be downloaded from the book's website.
Автор: Capi?ski Название: Numerical Methods in Finance with C++ ISBN: 0521177162 ISBN-13(EAN): 9780521177160 Издательство: Cambridge Academ Рейтинг: Цена: 6347 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on solving and implementing the increasingly complex numerical problems that arise in finance. Readers will learn the numerical techniques and programming skills necessary for any aspiring quant developer. No programming background is required, making the book thoroughly suitable for beginners.
Автор: Al Malah Kamal Название: MATLAB Numerical Methods with Chemical Engineering Applicati ISBN: 0071831282 ISBN-13(EAN): 9780071831284 Издательство: McGraw-Hill Рейтинг: Цена: 21748 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A practical, professional guide to MATLAB applications, numerical techniques, and scientific computing
Highly recommended, the best-selling first edition of Introduction to Scientific Programming and Simulation Using R was lauded as an excellent, easy-to-read introduction with extensive examples and exercises. This second edition continues to introduce scientific programming and stochastic modelling in a clear, practical, and thorough way. Readers learn programming by experimenting with the provided R code and data.
The book's four parts teach:
Core knowledge of R and programming concepts
How to think about mathematics from a numerical point of view, including the application of these concepts to root finding, numerical integration, and optimisation
Essentials of probability, random variables, and expectation required to understand simulation
Stochastic modelling and simulation, including random number generation and Monte Carlo integration
In a new chapter on systems of ordinary differential equations (ODEs), the authors cover the Euler, midpoint, and fourth-order Runge-Kutta (RK4) schemes for solving systems of first-order ODEs. They compare the numerical efficiency of the different schemes experimentally and show how to improve the RK4 scheme by using an adaptive step size.
Another new chapter focuses on both discrete- and continuous-time Markov chains. It describes transition and rate matrices, classification of states, limiting behaviour, Kolmogorov forward and backward equations, finite absorbing chains, and expected hitting times. It also presents methods for simulating discrete- and continuous-time chains as well as techniques for defining the state space, including lumping states and supplementary variables.
Building readers' statistical intuition, Introduction to Scientific Programming and Simulation Using R, Second Edition shows how to turn algorithms into code. It is designed for those who want to make tools, not just use them. The code and data are available for download from CRAN.
Автор: Blyth Stephen Название: An Introduction to Quantitative Finance ISBN: 0199666598 ISBN-13(EAN): 9780199666591 Издательство: Oxford Academ Рейтинг: Цена: 7377 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: Rau Название: Short Introduction to Corporate Finance ISBN: 1107461480 ISBN-13(EAN): 9781107461482 Издательство: Cambridge Academ Рейтинг: Цена: 3945 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a concise examination of the six key areas of corporate finance, explaining in simple terms why these areas are important. It is aimed at executives, managers and industry professionals, as well as students studying courses in finance, banking, investment, corporate finance and corporate governance.
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.
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