A Practical Guide to Forecasting Financial Market Volatility, Ser-Huang Poon
Автор: Bauwens Название: Handbook of Volatility Models and Their Applications ISBN: 0470872519 ISBN-13(EAN): 9780470872512 Издательство: Wiley Рейтинг: Цена: 23594.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A complete guide to the theory and practice of volatility models in financial engineering Volatility has become a hot topic in this era of instant communications, spawning a great deal of research in empirical finance and time series econometrics.
Автор: Mele, Antonio, Fornari, Fabio Название: Stochastic Volatility in Financial Markets ISBN: 1461370450 ISBN-13(EAN): 9781461370451 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Stochastic Volatility in Financial Markets presents advanced topics in financial econometrics and theoretical finance, and is divided into three main parts.
Описание: The deregulation of domestic financial markets and the capital account in developing countries has frequently been associated with financial turmoil and macro volatility. The book analyzes the experiences of several countries, drawing implications for building development-friendly domestic and international financial architectures.
Автор: Gatheral, Jim Название: Volatility surface ISBN: 0471792519 ISBN-13(EAN): 9780471792512 Издательство: Wiley Рейтинг: Цена: 9187.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Praise for The Volatility Surface "I`m thrilled by the appearance of Jim Gatheral`s new book The Volatility Surface. The literature on stochastic volatility is vast, but difficult to penetrate and use. Gatheral`s book, by contrast, is accessible and practical.
Автор: GASTON GELOS Название: Managing Economic Volatility in Latin America ISBN: 1484364988 ISBN-13(EAN): 9781484364987 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 3742.00 р. Наличие на складе: Нет в наличии.
Описание: After having shown resilience during the global financial crisis, and with prospects for interest rates in advanced economies to remain low, emerging markets are likely to face continued capital inflows looking forward.
Описание: A leading expert unveils his unique methodology for options trading Options provide a high leverage approach to trading that can significantly limit the overall risk of a trade or provide additional income.
Автор: Harvey Название: Dynamic Models for Volatility and Heavy Tails ISBN: 1107034728 ISBN-13(EAN): 9781107034723 Издательство: Cambridge Academ Рейтинг: Цена: 15682.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a statistical theory for a class of nonlinear time-series models. It has particular relevance for the modeling of volatility in financial time series but the overall approach will be of interest to econometricians and statisticians in a variety of disciplines.
Автор: Rachev, Svetlozar T. Kim, Young Shim Bianchi, Mich Название: Financial models with levy processes and volatility clustering ISBN: 0470482354 ISBN-13(EAN): 9780470482353 Издательство: Wiley Рейтинг: Цена: 13464.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: * In this book, authors Rachev, Kim, Bianchi, and Fabozzi present readers with the notions of risk and their corresponding performance measures.
Автор: Stephen Satchell Название: Forecasting Volatility in the Financial Markets, ISBN: 075066942X ISBN-13(EAN): 9780750669429 Издательство: Elsevier Science Рейтинг: Цена: 13109.00 р. Наличие на складе: Поставка под заказ.
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: Fengler Matthias R. Название: Semiparametric Modeling of Implied Volatility ISBN: 3540262342 ISBN-13(EAN): 9783540262343 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The implied volatility surface is a key financial variable for the pricing and the risk management of plain vanilla and exotic options portfolios alike. Consequently, statistical models of the implied volatility surface are of immediate importance in practice: they may appear as estimates of the current surface or as fully specified dynamic models describing its propagation through space and time.This book fills a gap in the financial literature by bringing together both recent advances in the theory of implied volatility and refined semiparametric estimation strategies and dimension reduction methods for functional surfaces: the first part of the book is devoted to smile-consistent pricing appoaches. The theory of implied and local volatility is presented concisely, and vital smile-consistent modeling approaches such as implied trees, mixture diffusion, or stochastic implied volatility models are discussed in detail. The second part of the book familiarizes the reader with estimation techniques that are natural candidates to meet the challenges in implied volatility modeling, such as the rich functional structure of observed implied volatility surfaces and the necessity for dimension reduction: non- and semiparametric smoothing techniques.The book introduces Nadaraya-Watson, local polynomial and least squares kernel smoothing, and dimension reduction methods such as common principle components, functional principle components models and dynamic semiparametric factor models. Throughout, most methods are illustrated with empirical investigations, simulations and pictures.
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