Financial Modelling, Lorenzo Peccati; Matti Viren

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: Terence C. Mills
Название: The Econometric Modelling of Financial Time Series
ISBN: 052171009X ISBN-13(EAN): 9780521710091
Издательство: Cambridge Academ
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Цена: 7445.00 р.
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Описание: This best-selling graduate textbook provides detailed coverage of the latest research techniques and findings relating to the empirical analysis of financial markets. This third edition contains a wealth of material reflecting the developments of the last decade, including a new chapter on nonlinearity and its testing.

Автор: Rees
Название: Financial Modelling in Practice
ISBN: 0470997443 ISBN-13(EAN): 9780470997444
Издательство: Wiley
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Цена: 11563.00 р.
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Описание: A guide to financial modelling that covers the modelling issues which are relevant to facilitate the construction of robust and readily understandable models. It reviews Excel functions that are generally most relevant for building intermediate and advanced level models (such as Lookup functions, database and statistical functions and so on).

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.
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
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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: Emmanuel Haven and Philip Molyneux
Название: The Handbook of Post Crisis Financial Modelling
ISBN: 1137494484 ISBN-13(EAN): 9781137494481
Издательство: Springer
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Цена: 12577.00 р.
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Описание: The 2008 financial crisis was a watershed moment which clearly influenced the public`s perception of the role of `finance` in society. This is the first comprehensive handbook to look at financial modelling post crisis from the legal/historical; empirical modelling; stochastic; and non-stochastic modelling perspectives.