Mathematics of Financial Models + Website, Ravindran Kannoo
Автор: David Hillier,Mark Grinblatt Название: Financial Markets and Corporate Strategy 2 ed. ISBN: 0077129423 ISBN-13(EAN): 9780077129422 Издательство: McGraw-Hill Рейтинг: Цена: 10637.00 р. Наличие на складе: Поставка под заказ.
Описание: Financial Markets and Corporate Strategy
Автор: Jong, Frank De Rindi, Barbara Название: Microstructure of financial markets ISBN: 0521687276 ISBN-13(EAN): 9780521687270 Издательство: Cambridge Academ Рейтинг: Цена: 6019.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The first graduate level textbook to cover the theory and empirics of the emerging sub-discipline of financial market microstructure. With numerous end-of-chapter exercises and a companion website, the book is ideally suited for students taking graduate courses in finance as well as being a useful reference for practitioners.
Автор: Campolieti Название: Financial Mathematics ISBN: 1439892423 ISBN-13(EAN): 9781439892428 Издательство: Taylor&Francis Рейтинг: Цена: 16843.00 р. Наличие на складе: Поставка под заказ.
Описание: Versatile for Several Interrelated Courses at the Undergraduate and Graduate Levels Financial Mathematics: A Comprehensive Treatment provides a unified, self-contained account of the main theory and application of methods behind modern-day financial mathematics. Tested and refined through years of the authors’ teaching experiences, the book encompasses a breadth of topics, from introductory to more advanced ones. Accessible to undergraduate students in mathematics, finance, actuarial science, economics, and related quantitative areas, much of the text covers essential material for core curriculum courses on financial mathematics. Some of the more advanced topics, such as formal derivative pricing theory, stochastic calculus, Monte Carlo simulation, and numerical methods, can be used in courses at the graduate level. Researchers and practitioners in quantitative finance will also benefit from the combination of analytical and numerical methods for solving various derivative pricing problems. With an abundance of examples, problems, and fully worked out solutions, the text introduces the financial theory and relevant mathematical methods in a mathematically rigorous yet engaging way. Unlike similar texts in the field, this one presents multiple problem-solving approaches, linking related comprehensive techniques for pricing different types of financial derivatives. The book provides complete coverage of both discrete- and continuous-time financial models that form the cornerstones of financial derivative pricing theory. It also presents a self-contained introduction to stochastic calculus and martingale theory, which are key fundamental elements in quantitative finance.
Автор: Lai, Tze Leung Xing, Haipeng Название: Statistical models and methods for financial markets ISBN: 1441926682 ISBN-13(EAN): 9781441926685 Издательство: Springer Рейтинг: Цена: 10335.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The authors here present statistical methods and models of importance to quantitative finance and links finance theory to market practice via statistical modeling and decision making. They provide basic statistical background as well as in-depth applications.
Автор: Ruttiens Alain Название: Mathematics of the Financial Markets ISBN: 1118513452 ISBN-13(EAN): 9781118513453 Издательство: Wiley Рейтинг: Цена: 9504.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The book aims to prioritise what needs mastering and presentsthe content in the most understandable, concise and pedagogical wayillustrated by real market examples. Given the variety and thecomplexity of the materials the book covers, the author sortsthrough a vast array of topics in a subjective way, relying uponmore than twenty years of experience as a market practitioner. Thebook only requires the reader to be knowledgeable in the basics ofalgebra and statistics.
The Mathematical formulae are only fully proven when the proofbrings some useful insight. These formulae are translated fromalgebra into plain English to aid understanding as the vastmajority of practitioners involved in the financial markets are notrequired to compute or calculate prices or sensitivities themselvesas they have access to data providers. Thus, the intention of thisbook is for the practitioner to gain a deeper understanding ofthese calculations, both for a safety reason - it is betterto understand what is behind the data we manipulate - andsecondly being able to appreciate the magnitude of the prices weare confronted with and being able to draft a rough calculation, aside of the market data.
The author has avoided excessive formalism where possible.Formalism is securing the outputs of research, but may, in othercircumstances, burden the understanding by non-mathematicians; anexample of this case is in the chapter dedicated to the basis ofstochastic calculus.
The book is divided into two parts:
First, the deterministic world, starting from the yield curvebuilding and related calculations (spot rates, forward rates, discrete versus continuous compounding, etc.), and continuing withspot instruments valuation (short term rates, bonds, currencies andstocks) and forward instruments valuation (forward forex, FRAs andvariants, swaps & futures);
Second, the probabilistic world, starting with the basis ofstochastic calculus and the alternative approach of ARMA to GARCH, and continuing with derivative pricing: options, second generationoptions, volatility, credit derivatives;
This second part is completed by a chapter dedicated to marketperformance & risk measures, and a chapter widening the scopeof quantitative models beyond the Gaussian hypothesis andevidencing the potential troubles linked to derivative pricingmodels.
Автор: Cont, Tankov Название: Financial modelling with jump processes ISBN: 1584884134 ISBN-13(EAN): 9781584884132 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents an overview of the theoretical, numerical, and empirical aspects of using jump processes in financial modeling. This book demonstrates that the concepts and tools necessary for understanding and implementing models with jumps can be more intuitive that those involved in the Black Scholes and diffusion models.
Автор: Ali Hirsa Название: An Introduction to the Mathematics of Financial Derivatives, ISBN: 012384682X ISBN-13(EAN): 9780123846822 Издательство: Elsevier Science Рейтинг: Цена: 13304.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A text that eases the transition between basic summaries of financial engineering to more advanced treatments using stochastic calculus. Requiring a basic knowledge of calculus and probability, it takes readers on a tour of advanced financial engineering. It encourages use of discrete chapters as complementary readings on different topics.
Описание: *Provides an introduction to the basics of financial statistics and mathematical finance.
Автор: Tretyakov M V Название: Introductory Course on Financial Mathematics ISBN: 1908977388 ISBN-13(EAN): 9781908977380 Издательство: World Scientific Publishing Цена: 7603.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is an elementary introduction to the basic concepts of financial mathematics with a central focus on discrete models and an aim to demonstrate simple, but widely used, financial derivatives for managing market risks. Only a basic knowledge of probability, real analysis, ordinary differential equations, linear algebra and some common sense are required to understand the concepts considered in this book.Financial mathematics is an application of advanced mathematical and statistical methods to financial management and markets, with a main objective of quantifying and hedging risks. Since the book aims to present the basics of financial mathematics to the reader, only essential elements of probability and stochastic analysis are given to explain ideas concerning derivative pricing and hedging. To keep the reader intrigued and motivated, the book has a 'sandwich' structure: probability and stochastics are given in situ where mathematics can be readily illustrated by application to finance.The first part of the book introduces one of the main principles in finance -- 'no arbitrage pricing'. It also introduces main financial instruments such as forward and futures contracts, bonds and swaps, and options. The second part deals with pricing and hedging of European- and American-type options in the discrete-time setting. In addition, the concept of complete and incomplete markets is discussed. Elementary probability is briefly revised and discrete-time discrete-space stochastic processes used in financial modelling are considered. The third part introduces the Wiener process, Ito integrals and stochastic differential equations, but its main focus is the famous Black-Scholes formula for pricing European options. Some guidance for further study within this exciting and rapidly changing field is given in the concluding chapter. There are approximately 100 exercises interspersed throughout the book, and solutions for most problems are provided in the appendices.
Автор: Mackevicius, Vigirdas Название: Stochastic Models of Financial Mathematics ISBN: 1785481983 ISBN-13(EAN): 9781785481987 Издательство: Elsevier Science Рейтинг: Цена: 15159.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a short introduction to continuous-time financial models. An overview of the basics of stochastic analysis precedes a focus on the Black–Scholes and interest rate models. Other topics covered include self-financing strategies, option pricing, exotic options and risk-neutral probabilities. Vasicek, Cox?Ingersoll?Ross, and Heath–Jarrow–Morton interest rate models are also explored.The author presents practitioners with a basic introduction, with more rigorous information provided for mathematicians. The reader is assumed to be familiar with the basics of probability theory. Some basic knowledge of stochastic integration and differential equations theory is preferable, although all preliminary information is given in the first part of the book. Some relatively simple theoretical exercises are also provided.
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