Stochastic calculus for finance ii, Shreve, Steven

Автор: Shreve, Steven E.
Название: Stochastic Calculus for Finance II
ISBN: 0387401016 ISBN-13(EAN): 9780387401010
Издательство: Springer
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Цена: 55890.00 T
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Описание: "A wonderful display of the use of mathematical probability to derive a large set of results from a small set of assumptions.

Автор: Gallager
Название: Stochastic Processes
ISBN: 1107039754 ISBN-13(EAN): 9781107039759
Издательство: Cambridge Academ
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Цена: 74970.00 T
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Описание: This definitive textbook provides a solid introduction to stochastic processes, covering both theory and applications. It is written by one of the world`s leading information theorists, evolving over twenty years of graduate classroom teaching, and is accompanied by over 300 exercises, with online solutions for instructors.

Автор: Chin Eric, Olafsson Sverrir, Nel Dian
Название: Problems and Solutions in Mathematical Finance: Volume I - Stochastic Calculus
ISBN: 1119965837 ISBN-13(EAN): 9781119965831
Издательство: Wiley
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Цена: 44350.00 T
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Описание: Mathematical finance requires the use of advanced mathematical techniques drawn from the theory of probability, stochastic processes and stochastic differential equations. These areas are generally introduced and developed at an abstract level, making it problematic when applying these techniques to practical issues in finance.

Автор: Shreve
Название: Stochastic Calculus for Finance I
ISBN: 0387401008 ISBN-13(EAN): 9780387401003
Издательство: Springer
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Цена: 55890.00 T
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Описание: Developed for the professional Master`s program in Computational Finance at Carnegie Mellon, the leading financial engineering program in the U.S. Has been tested in the classroom and revised over a period of several yearsExercises conclude every chapter;

Автор: Shreve
Название: Stochastic Calculus for Finance I
ISBN: 0387249680 ISBN-13(EAN): 9780387249681
Издательство: Springer
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Цена: 55890.00 T
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Описание: Developed for the professional Master`s program in Computational Finance at Carnegie Mellon, the leading financial engineering program in the U.S. Has been tested in the classroom and revised over a period of several yearsExercises conclude every chapter;

Автор: Gulisashvili
Название: Analytically Tractable Stochastic Stock Price Models
ISBN: 3642312136 ISBN-13(EAN): 9783642312137
Издательство: Springer
Цена: 37170.00 T
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Описание: For instance, in the Hull-White model the volatility process is a geometric Brownian motion, the Stein-Stein model uses an Ornstein-Uhlenbeck process as the stochastic volatility, and in the Heston model a Cox-Ingersoll-Ross process governs the behavior of the volatility.

Автор: Platen
Название: Numerical Solution of Stochastic Differential Equations with Jumps in Finance
ISBN: 3642120571 ISBN-13(EAN): 9783642120572
Издательство: Springer
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Цена: 84780.00 T
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Описание: It presents many new results on higher-order methods for scenario and Monte Carlo simulation, including implicit, predictor corrector, extrapolation, Markov chain and variance reduction methods, stressing the importance of their numerical stability.

Автор: Brealey Richard
Название: Principles of Corporate Finance 13 ed.
ISBN: 1260565556 ISBN-13(EAN): 9781260565553
Издательство: McGraw-Hill
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Цена: 70910.00 T
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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: Francesca Biagini; Yaozhong Hu; Bernt ?ksendal; Tu
Название: Stochastic Calculus for Fractional Brownian Motion and Applications
ISBN: 1849969949 ISBN-13(EAN): 9781849969949
Издательство: Springer
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Цена: 79190.00 T
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Описание: The purpose of this book is to present a comprehensive account of the different definitions of stochastic integration for fBm, and to give applications of the resulting theory.

Автор: Simo Sarkka, Arno Solin
Название: Applied Stochastic Differential Equations
ISBN: 1316510085 ISBN-13(EAN): 9781316510087
Издательство: Cambridge Academ
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Цена: 120390.00 T
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Описание: This intuitive hands-on text introduces stochastic differential equations (SDEs) as motivated by applications in target tracking and medical technology, and covers their use in methodologies such as filtering, parameter estimation, and machine learning. Examples include applications of SDEs arising in physics and electrical engineering.

Автор: Meyer, Michael
Название: Continuous Stochastic Calculus with Applications to Finance
ISBN: 0367455439 ISBN-13(EAN): 9780367455439
Издательство: Taylor&Francis
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Цена: 63280.00 T
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Описание: The prolonged boom in the U.S. and European stock markets has led to increased interest in the mathematics of security markets, most notably in the theory of stochastic integration. This text gives a rigorous development of the theory of stochastic integration as it applies to the valuation of derivative securities. It includes all of the tools rea

Автор: Mikosch, Thomas
Название: Elementary Stochastic Calculus, with Finance in View
ISBN: 9810235437 ISBN-13(EAN): 9789810235437
Издательство: World Scientific Publishing
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Цена: 50690.00 T
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Описание: An elementary introduction to modelling with Ito integral or stochastic differential equations, without burdening the reader with a great deal of measure theory. Applications are taken from stochastic finance. In particular, the Black-Scholes option pricing formula is derived.