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GARCH Models

Provides a comprehensive and updated study of GARCH models and their applications in finance, covering new developments in the discipline;

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GARCH Models

This book provides a comprehensive and systematic approach to understanding GARCH time series models and their applications whilst;

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Financial Econometrics Using Stata

, univariate GARCH models, multivariate GARCH models, and applications of these models to financial time series. The last two chapters cover risk;

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Applied Econometrics

processes to model returns data, and GARCH models assess the optimal p and q number of lags to model variance, using the Akaike Information;

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Quantitative Financial Risk Management

, Factor models, CAPM models, GARCH models, KMV models and credit scoring models.;

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Dynamic Models for Volatility and Heavy Tails

Heteroscedasticity (GARCH) models have provided the principal means of analyzing, modeling and monitoring such changes. Taking into account that financial;

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Dynamic Models for Volatility and Heavy Tails

Heteroscedasticity (GARCH) models have provided the principal means of analyzing, modeling and monitoring such changes. Taking into account that financial;

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Derivatives and Internal Models

analysis, GARCH models, differential equations, finite difference schemes, Martingales and Numeraires.;

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Elements of Financial Risk Management

online exercises so readers can use their own data. Its unified GARCH modeling approach, empirically sophisticated and relevant yet easy to;

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Volatilitatsschatzung und -prognose mit ARCH- und GARCH-Modellen

Volatilitätsschätzung und -prognose mit ARCH- und GARCH-Modellen is een boek van Mevlud Islami;

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Value-at-risk forecasting with the ARMA-GARCH family of models

variance with one of GARCH, EGARCH or TARCH processes with up to two lags. The models are estimated on the data from the in-sample period and their;

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Market Risk Analysis Vol 2

, emphasising the areas of econometrics, such as GARCH, cointegration and copulas that are required for resolving problems in market risk analysis. The;

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Linear Models and TimeSeries Analysis

, ARMA and GARCH sets a strong foundation, in terms of distribution theory, for the linear model (regression and ANOVA), univariate time series;

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Derivatives and Internal Models

analysis, GARCH models, differential equations, finite difference schemes, Martingales and Numeraires. Hundreds of example calculations can be;

Vergelijkbare producten zoals Derivatives and Internal Models

Derivatives and Internal Models

analysis, GARCH models, differential equations, finite difference schemes, Martingales and Numeraires. Hundreds of example calculations can be;

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Data Analysis and Applications 1

: Part 1 presents clustering and regression cases; Part 2 examines grouping and decomposition, GARCH and threshold models, structural equations;

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Contributions to Financial Econometrics

software package. Starting with a survey of recent theoretical developments for time series models with GARCH errors, the contributions go on to;

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Applied Econometrics

Models Panel Data Models Qualitative and Limited Dependent Variable Models Vector Autoregressive (VAR) Models Autocorrelation and ARCHGARCH;

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Applied Econometrics

Data Models Qualitative and Limited Dependent Variable Models Vector Autoregressive (VAR) Models Autocorrelation and ARCHGARCH Models Unit;

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Bayesian Econometric Methods

, including state space and unobserved components models, stochastic volatility models, ARCH, GARCH, and vector autoregressive models. The authors;

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Bayesian Econometric Methods

, including state space and unobserved components models, stochastic volatility models, ARCH, GARCH, and vector autoregressive models. The authors;

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Financial Econometrics

volatility models of the GARCH type and the stochastic volatility approach - analysis of shock persistence and impulse responses - Markov;

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Financial Econometrics

volatility models of the GARCH type and the stochastic volatility approach - analysis of shock persistence and impulse responses - Markov;

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Estimation in Conditionally Heteroscedastic Time Series Models

. Nowadays ARCH has been replaced by more general and more sophisticated models, such as GARCH (generalized autoregressive heteroscedastic;

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Quantitative Financial Economics

bubbles* Chaos and time varying risk* Non-stationarity and cointegration* Rational expectations* ARCH and GARCH models

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Statistics and Finance

topics in statistics, such as regression, ARMA and GARCH models, the bootstrap, and nonparametric regression using splines, are introduced as;

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