bookJun 10, 2019GREEN OA

GARCH Models: Structure, Statistical Inference and Financial Applications

Abstract

This book provides a comprehensive and systematic approach to understanding GARCH time series models and their applications whilst presenting the most advanced results concerning the theory and practical aspects of GARCH. The probability structure of standard GARCH models is studied in detail as well as statistical inference such as identification, estimation and tests. The book also provides coverage of several extensions such as asymmetric and multivariate models and looks at financial applications.Key features:- Provides up-to-date coverage of the current research in the probability, statistics and econometric theory of GARCH models. - Numerous illustrations and applications to real financial series are…

Citation impact

450
total citations
FWCI
24.21
Percentile
100%
References
0
Citations per year

Authors

2

Topics & keywords

Keywords
  • Autoregressive conditional heteroskedasticity
  • Inference
  • Computer science
  • Statistical inference
  • Finance
  • Identification (biology)
  • Econometrics
  • Series (stratigraphy)
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