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Modeling Volatility in Financial Time Series

valuation of derivatives. Volatility estimations are therefore essential in most financial decisions. However, it has been proven extremely;

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Dynamic Models for Volatility and Heavy Tails

The volatility of financial returns changes over time and, for the last thirty years, Generalized Autoregressive Conditional;

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Dynamic Models for Volatility and Heavy Tails

The volatility of financial returns changes over time and, for the last thirty years, Generalized Autoregressive Conditional;

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Time Series in Economics and Finance

decomposition methods, autocorrelation methods for univariate time series, volatility and duration modeling for financial time series, and multivariate;

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Time Series in Economics and Finance

decomposition methods, autocorrelation methods for univariate time series, volatility and duration modeling for financial time series, and multivariate;

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Non-Linear Time Series Models in Empirical Finance

more appropriate for forecasting and accurately describing returns and volatility. The enormous number of non-linear time series models;

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Non-Linear Time Series Models in Empirical Finance

more appropriate for forecasting and accurately describing returns and volatility. The enormous number of non-linear time series models;

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Modelling the Probability Distribution of Stock Price Changes

financial time series such as volume-volatility relationship, financial leverage effect, seasonality, and non normal probability distributions.;

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Volatility and Time Series Econometrics

research contributions by some the leading academic researchers in the fields of time series econometrics, forecasting, volatility modelling;

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Forecasting in Financial and Sports Gambling Markets

processes in financial markets * The effects of gambling shocks in sports gambling markets * Cointegrated time series with model drift * Modeling;

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Advances in Pacific Basin Financial Markets, Volume 3

This is the third volume in a series which examines advances in Pacific Basin financial markets. It discusses issues such as time-varying;

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Stock Market Volatility

Up-to-Date Research Sheds New Light on This Area Taking into account the ongoing worldwide financial crisis, Stock Market Volatility;

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Stock Market Volatility

Up-to-Date Research Sheds New Light on This Area Taking into account the ongoing worldwide financial crisis, Stock Market Volatility;

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Hidden Markov Models In Finance

offers the first systematic application of these methods to specialized financial problems: option pricing, credit risk modeling, volatility;

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Forecasting Financial Markets

frequency data, the information content of volatility markets, and applications of neural networks and genetic algorithms to financial time series;

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Inside Volatility Arbitrage

the classic approach to evaluating volatility - time series and financial econometrics - in a way that he believes is superior to methods;

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Stochastic Volatility Modeling

Packed with insights, Lorenzo Bergomi's Stochastic Volatility Modeling explains how stochastic volatility is used to address issues arising;

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Progress in Financial Markets Research

influence of information on financial time series. The standard financial theory of efficient markets assumes identical investors having rational;

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Time Series In High Dimensions

Factor models have become the most successful tool in the analysis and forecasting of high-dimensional time series. This monograph provides;

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Derivatives Financial Markets Stochastic

This book, first published in 2000, addresses problems in financial mathematics of pricing and hedging derivative securities in an;

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Forecasting Volatility in the Financial Markets

Forecasting Volatility in the Financial Markets, Third Editionassumes that the reader has a firm grounding in the key principles and;

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Recent Econometric Techniques for Macroeconomic and Financial Data

interested in applying recent econometric time series methods to financial and economic data.;

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Handbook of Financial Time Series

The Handbook of Financial Time Series, edited by Andersen, Davis, Kreiss and Mikosch, is an impressive collection of survey articles by;

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Handbook of Financial Time Series

The Handbook of Financial Time Series, edited by Andersen, Davis, Kreiss and Mikosch, is an impressive collection of survey articles by;

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Analysis, Geometry, and Modeling in Finance

geometrical methods used in physics and mathematics to the financial field. It even obtains new results when only approximate and partial solutions;

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Financial Econometrics Modeling

This book proposes new methods to build optimal portfolios and to analyze market liquidity and volatility under market microstructure;

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Financial Mathematics, Volatility and Covariance Modelling

This book provides an up-to-date series of advanced chapters on applied financial econometric techniques pertaining the various fields;

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