Handbook of Financial Time Series

This handbook presents a collection of survey articles from a statistical as well as an econometric point of view on the broad and still rapidly developing field of financial time series. It includes most of the relevant topics in the field, from fundamental probabilistic properties of financial tim...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Mikosch, Thomas (Επιμελητής έκδοσης), Kreiß, Jens-Peter (Επιμελητής έκδοσης), Davis, Richard A. (Επιμελητής έκδοσης), Andersen, Torben Gustav (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Recent Developments in GARCH Modeling
  • An Introduction to Univariate GARCH Models
  • Stationarity, Mixing, Distributional Properties and Moments of GARCH(p, q)#x2013;Processes
  • ARCH(#x221E;) Models and Long Memory Properties
  • A Tour in the Asymptotic Theory of GARCH Estimation
  • Practical Issues in the Analysis of Univariate GARCH Models
  • Semiparametric and Nonparametric ARCH Modeling
  • Varying Coefficient GARCH Models
  • Extreme Value Theory for GARCH Processes
  • Multivariate GARCH Models
  • Recent Developments in Stochastic Volatility Modeling
  • Stochastic Volatility: Origins and Overview
  • Probabilistic Properties of Stochastic Volatility Models
  • Moment#x2013;Based Estimation of Stochastic Volatility Models
  • Parameter Estimation and Practical Aspects of Modeling Stochastic Volatility
  • Stochastic Volatility Models with Long Memory
  • Extremes of Stochastic Volatility Models
  • Multivariate Stochastic Volatility
  • Topics in Continuous Time Processes
  • An Overview of Asset–Price Models
  • Ornstein–Uhlenbeck Processes and Extensions
  • Jump–Type Lévy Processes
  • Lévy–Driven Continuous–Time ARMA Processes
  • Continuous Time Approximations to GARCH and Stochastic Volatility Models
  • Maximum Likelihood and Gaussian Estimation of Continuous Time Models in Finance
  • Parametric Inference for Discretely Sampled Stochastic Differential Equations
  • Realized Volatility
  • Estimating Volatility in the Presence of Market Microstructure Noise: A Review of the Theory and Practical Considerations
  • Option Pricing
  • An Overview of Interest Rate Theory
  • Extremes of Continuous–Time Processes.
  • Topics in Cointegration and Unit Roots
  • Cointegration: Overview and Development
  • Time Series with Roots on or Near the Unit Circle
  • Fractional Cointegration
  • Special Topics – Risk
  • Different Kinds of Risk
  • Value–at–Risk Models
  • Copula–Based Models for Financial Time Series
  • Credit Risk Modeling
  • Special Topics – Time Series Methods
  • Evaluating Volatility and Correlation Forecasts
  • Structural Breaks in Financial Time Series
  • An Introduction to Regime Switching Time Series Models
  • Model Selection
  • Nonparametric Modeling in Financial Time Series
  • Modelling Financial High Frequency Data Using Point Processes
  • Special Topics – Simulation Based Methods
  • Resampling and Subsampling for Financial Time Series
  • Markov Chain Monte Carlo
  • Particle Filtering.