Modelling and Forecasting Financial Data, Abdol S. Soofi; Liangyue Cao

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%
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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: Stephen Satchell
Название: Forecasting Volatility in the Financial Markets,
ISBN: 075066942X ISBN-13(EAN): 9780750669429
Издательство: Elsevier Science
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Цена: 13109.00 р.
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Описание: Forecasting Volatility in the Financial Markets, Third Editionassumes that the reader has a firm grounding in the key principles and methods of understanding volatility measurement and builds on that knowledge to detail cutting-edge modelling and forecasting techniques. It provides a survey of ways to measure risk and define the different models of volatility and return. Editors John Knight and Stephen Satchell have brought together an impressive array of contributors who present research from their area of specialization related to volatility forecasting. Readers with an understanding of volatility measures and risk management strategies will benefit from this collection of up-to-date chapters on the latest techniques in forecasting volatility. Chapters new to this third edition:* What good is a volatility model? Engle and Patton* Applications for portfolio variety Dan diBartolomeo* A comparison of the properties of realized variance for the FTSE 100 and FTSE 250 equity indices Rob Cornish* Volatility modeling and forecasting in finance Xiao and Aydemir* An investigation of the relative performance of GARCH models versus simple rules in forecasting volatility Thomas A. Silvey

Автор: Danielsson Jon
Название: Financial Risk Forecasting
ISBN: 0470669438 ISBN-13(EAN): 9780470669433
Издательство: Wiley
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Цена: 8237.00 р.
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Описание: Financial Risk Forecasting is a complete introduction to practical quantitative risk management, with a focus on market risk.

Автор: Degiannakis Stavros
Название: Modelling and Forecasting High Frequency Financial Data
ISBN: 1137396482 ISBN-13(EAN): 9781137396488
Издательство: Springer
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Цена: 11179.00 р.
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Описание: This book is an accessible practitioners guide to the most cutting-edge models used in high-frequency finance modelling, providing advanced techniques and tools for understanding market microstructure and more generally for analyzing financial markets using recent HF data.

Автор: Brooks
Название: Real Estate Modelling and Forecasting
ISBN: 0521873398 ISBN-13(EAN): 9780521873390
Издательство: Cambridge Academ
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Цена: 14890.00 р.
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Описание: Assuming only a basic understanding of econometrics, this book introduces and explains a broad range of quantitative techniques that are relevant for the analysis of real estate data. It includes numerous detailed examples, giving readers the confidence they need to estimate and interpret their own models.

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

Название: Financial Calculus
ISBN: 0521552893 ISBN-13(EAN): 9780521552899
Издательство: Cambridge Academ
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Цена: 12355.00 р.
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Описание: Here is a rigorous and accessible account of the mathematics behind the pricing, construction and hedging of derivative securities. An essential purchase for market practitioners, quantitative analysts, and derivatives traders, whether existing or trainees, in investment banks in the major financial centres throughout the world.

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.