Introduction To Quantitative Finance, An: A Three-Principle Approach, Ting Christopher Hian Ann
Автор: Wise Mark B., Bhansali Vineer Название: Fixed Income Finance: A Quantitative Approach ISBN: 0071621202 ISBN-13(EAN): 9780071621205 Издательство: McGraw-Hill Рейтинг: Цена: 10724 р. Наличие на складе: Поставка под заказ.
A complete guide for professionals with advanced mathematical skills but little or no financial knowledge . . .
You're smart. Logical. Mathematically adept. One of those people who can make quick work of long, difficult equations. But when it comes to managing a financial portfolio and managing risk, you wonder if you're missing out.
"Fixed Income Finance" is the book for you. It's the perfect introduction to the concepts, formulas, applications, and methodology, all derived from first principles, that you need to succeed in the world of quantitative finance--with a special emphasis on fixed incomes. Written by two of the sharpest analytical minds in their fields, this instructive guide takes you through the basics of fixed income finance, including many new and original results, to help you understand: Treasury Bonds and the Yield Curve The Macroeconomics behind Term Structure Models Structural Models for Corporate Bonds and Portfolio Diversification Options Fixed Income Derivatives Numerical Techniques
Filled with step-by-step equations, clear and concise concepts, and ready-to-use formulas, this essential workbook bridges the gap between basic beginners' primers and more advanced surveys to provide hands-on tools you can begin to use immediately. It's all you need to put your math skills to work-- and make the money work for you.
Brilliantly researched, impeccably detailed, and thoroughly comprehensive, "Fixed Income Finance" is applied mathematics at its best and most useful.
The Mathematics of Finance has become a hot topic ever since the discovery of the Black-Scholes option pricing formulas in 1973. Unfortunately, there are very few undergraduate textbooks in this area. This book is specifically written for advanced undergraduate or beginning graduate students in mathematics, finance or economics. With the exception of an optional chapter on the Capital Asset Pricing Model, the book concentrates on discrete derivative pricing models, culminating in a careful and complete derivation of the Black-Scholes option pricing formulas as a limiting case of the Cox-Ross-Rubinstein discrete model. The final chapter is devoted to American options.
The mathematics is not watered down but is appropriate for the intended audience. No measure theory is used and only a small amount of linear algebra is required. All necessary probability theory is developed throughout the book on a "need-to-know" basis. No background in finance is required, since the book also contains a chapter on options.
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.
Описание: This book presents a cogent description of the main methodologies used in derivatives pricing. Starting with a summary of the elements of Stochastic Calculus, Quantitative Methods in Derivatives Pricing develops the fundamental tools of financial engineering, such as scenario generation, simulation for European instruments, simulation for American instruments, and finite differences in an intuitive and practical manner, with an abundance of practical examples and case studies. Intended primarily as an introductory graduate textbook in computational finance, this book will also serve as a reference for practitioners seeking basic information on alternative pricing methodologies. Domingo Tavella is President of Octanti Associates, a consulting firm in risk management and financial systems design. He is the founder and chief editor of the Journal of Computational Finance and has pioneered the application of advanced numerical techniques in pricing and risk analysis in the financial and insurance industries. Tavella coauthored Pricing Financial Instruments: The Finite Difference Method. He holds a PhD in aeronautical engineering from Stanford University and an MBA in finance from the University of California at Berkeley.
Автор: Blyth Stephen Название: An Introduction to Quantitative Finance ISBN: 0199666598 ISBN-13(EAN): 9780199666591 Издательство: Oxford Academ Рейтинг: Цена: 3285 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.
Описание: The benchmark approach provides a general framework for financial market modeling, which extends beyond the standard risk-neutral pricing theory. It permits a unified treatment of portfolio optimization, derivative pricing, integrated risk management and insurance risk modeling. The existence of an equivalent risk-neutral pricing measure is not required. Instead, it leads to pricing formulae with respect to the real-world probability measure. This yields important modeling freedom which turns out to be necessary for the derivation of realistic, parsimonious market models. The first part of the book describes the necessary tools from probability theory, statistics, stochastic calculus and the theory of stochastic differential equations with jumps. The second part is devoted to financial modeling by the benchmark approach. Various quantitative methods for the real-world pricing and hedging of derivatives are explained. The general framework is used to provide an understanding of the nature of stochastic volatility. The book is intended for a wide audience that includes quantitative analysts, postgraduate students and practitioners in finance, economics and insurance. It aims to be a self-contained, accessible but mathematically rigorous introduction to quantitative finance for readers that have a reasonable mathematical or quantitative background. Finally, the book should stimulate interest in the benchmark approach by describing some of its power and wide applicability.
Описание: The large number of already available textbooks on stochastic calculus with specific applications to finance requires a justification for another contribution to this subject. The justifcation is mainly pedagogical. These lecture notes start with an elementary approach to stochastic calculus due to FГ¶llmer, who showed that one can develop Ito's calculus "pathwise" as an exercise in real analysis. The text opens to students interested in finance a quick (but by no means "dirty") road to the tools required for advanced finance in continuous time, including option pricing by martingale methods, term structure models in a HJM-framework and the Libor market model. The reader is supposed only to be familiar with elementary real analysis (e.g. Taylor's Theorem) and basic probability theory. The text is also useful for mathematicians interested in the methods of modern mathematical finance without prior knowledge of advanced stochastic analysis.
Описание: Written By A Physicist With Extensive Experience As A Quant On Wall Street, This Book Treats A Wide Variety Of Topics. Presenting The Theory And Practice Of Quantitative Finance And Risk, It Delves Into The “How To” And “What It'S Like” Aspects Not Covered In Textbooks Or Research Papers. A “Technical Index” Indicates The Mathematical Level For Each Chapter.This Second Edition Includes Some New, Expanded, And Wide-Ranging Considerations For Risk Management: Climate Change And Its Long-Term Systemic Financial Risk; Markets In Crisis — New Crisis Prediction Technique And The Reggeon Field Theory; New “Smart Monte Carlo” And American Monte Carlo; Trend Risk — Time Scales And Risk, The Macro–Micro Model, And Singular Spectrum Analysis; Credit Risk: Counterparty Risk, Wrong Way Risk, Issuer Risk, And Regulations; Stressed Correlations — New “Nearest Neighbor” Techniques; And Psychology And Option Models.Solid Risk Management Topics From The First Edition And Valid Today Are Included: Standard/Advanced Theory And Practice In Fixed Income, Equities, And Fx; Quantitative Finance And Risk Management — Traditional/Exotic Derivatives, Fat Tails, Stressed Var, Model Risk, Numerical Techniques, Deals/Portfolios, Systems, Data, Economic Capital, And Function Toolkit; Risk Lab — The Nuts And Bolts Of Risk Management From The Desk To The Enterprise; Case Studies Of Deals; Feynman Path Integrals, Green Functions, And Options; And “Life As A Quant” — Communication Issues, Sociology, Stories, And Advice.
Автор: Andrew Fight Название: Introduction to Project Finance, ISBN: 075065905X ISBN-13(EAN): 9780750659055 Издательство: Elsevier Science Рейтинг: Цена: 4961 р. Наличие на складе: Поставка под заказ.
Описание: Offers an overview of project finance, and an understanding of the key risks involved in project finance and techniques for mitigating risk. This work provides techniques for effective evaluation of project finance from both a financial and credit perspective. It includes questions with answers, study topics, and practical `real world` examples.
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 + b? 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.
Описание: The Mathematics of Finance has become a hot topic in applied mathematics ever since the discovery of the Black-Scholes option pricing formulas in 1973. This book is specifically written for upper division undergraduate or beginning graduate students in mathematics, finance or economics.
Описание: Applied Quantitative Finance presents solutions, theoretical developments and method proliferation for many practical problems in quantitative finance. The combination of practice and theory supported by computational tools is reflected in the selection of topics as well as in a finely tuned balance of scientific contributions on the practical implementation and theoretical concepts. This concept offers theoreticians insight into the applicability of the methodology and, vice versa, practitioners access to new methods for their applications. The e-book design of the text links theory and computational tools in an innovative way. All "quantlets" for the calculation of given examples in the text are executable on an XploRe Quantlet Server (XQS) and can be modified by the reader via the internet. The electronic edition can be downloaded from the web site www.i-xplore.de using the licence and registration number at the back cover.
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