Financial Risk Modelling and Portfolio Optimization with R, Pfaff Bernhard

Автор: Musiela Marek
Название: Martingale Methods in Financial Modelling
ISBN: 3540209662 ISBN-13(EAN): 9783540209669
Издательство: Springer
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Цена: 11738.00 р. 16769.00 -30%
Наличие на складе: Есть (1 шт.)
Описание: In the 2nd edition some sections of Part I are omitted for better readability, and a brand new chapter is devoted to volatility risk. As a consequence, hedging of plain-vanilla options and valuation of exotic options are no longer limited to the Black-Scholes framework with constant volatility. The theme of stochastic volatility also reappears systematically in the second part of the book, which has been revised fundamentally, presenting much more detailed analyses of the various interest-rate models available: the authors' perspective throughout is that the choice of a model should be based on the reality of how a particular sector of the financial market functions, never neglecting to examine liquid primary and derivative assets and identifying the sources of trading risk associated. This long-awaited new edition of an outstandingly successful, well-established book, concentrating on the most pertinent and widely accepted modelling approaches, provides the reader with a text focused on practical rather than theoretical aspects of financial modelling.

Автор: Caroline, Hillairet
Название: Portfolio Optimization with Different Information Flow
ISBN: 1785480847 ISBN-13(EAN): 9781785480843
Издательство: Elsevier Science
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Цена: 11706.00 р.
Наличие на складе: Поставка под заказ.

Описание:

Portfolio Optimization with Different Information Flow recalls the stochastic tools and results concerning the stochastic optimization theory and the enlargement filtration theory.The authors apply the theory of the enlargement of filtrations and solve the optimization problem. Two main types of enlargement of filtration are discussed: initial and progressive, using tools from various fields, such as from stochastic calculus and convex analysis, optimal stochastic control and backward stochastic differential equations. This theoretical and numerical analysis is applied in different market settings to provide a good basis for the understanding of portfolio optimization with different information flow.

Автор: David Hillier,Mark Grinblatt
Название: Financial Markets and Corporate Strategy 2 ed.
ISBN: 0077129423 ISBN-13(EAN): 9780077129422
Издательство: McGraw-Hill
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Цена: 10637.00 р.
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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
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Цена: 6019.00 р.
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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: Cont, Tankov
Название: Financial modelling with jump processes
ISBN: 1584884134 ISBN-13(EAN): 9781584884132
Издательство: Taylor&Francis
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Цена: 17609.00 р.
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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: Fabozzi
Название: Robust Portfolio Optimization and Management
ISBN: 047192122X ISBN-13(EAN): 9780471921226
Издательство: Wiley
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Цена: 14098.00 р.
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Описание: Praise for Robust Portfolio Optimization and Management "In the half century since Harry Markowitz introduced his elegant theory for selecting portfolios, investors and scholars have extended and refined its application to a wide range of real-world problems, culminating in the contents of this masterful book.

Автор: Bartholomew-Biggs Michael
Название: Nonlinear Optimization with Financial Applications
ISBN: 1402081103 ISBN-13(EAN): 9781402081101
Издательство: Springer
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Цена: 19564.00 р.
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Описание: The book introduces the key ideas behind practical nonlinear optimization. Computational finance – an increasingly popular area of mathematics degree programs – is combined here with the study of an important class of numerical techniques. The financial content of the book is designed to be relevant and interesting to specialists. However, this material – which occupies about one-third of the text – is also sufficiently accessible to allow the book to be used on optimization courses of a more general nature. The essentials of most currently popular algorithms are described, and their performance is demonstrated on a range of optimization problems arising in financial mathematics. Theoretical convergence properties of methods are stated, and formal proofs are provided in enough cases to be instructive rather than overwhelming. Practical behavior of methods is illustrated by computational examples and discussions of efficiency, accuracy and computational costs. Supporting software for the examples and exercises is available (but the text does not require the reader to use or understand these particular codes). The author has been active in optimization for over thirty years in algorithm development and application and in teaching and research supervision.