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Handbook of Financial Time Series
Stationarity, Mixing, Distributional Properties and Moments of GARCH(p, q)–Processes
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Author(s):
Alexander M. Lindner
Publication date
(Online):
February 10 2009
Publisher:
Springer Berlin Heidelberg
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Qatar University Press
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Generalized autoregressive conditional heteroskedasticity
Tim Bollerslev
(1986)
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Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
Robert F. Engle
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Conditional Heteroskedasticity in Asset Returns: A New Approach
Daniel B. Nelson
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Book Chapter
Publication date (Print):
2009
Publication date (Online):
February 10 2009
Pages
: 43-69
DOI:
10.1007/978-3-540-71297-8_2
SO-VID:
18b1a3b5-ad45-459c-b190-248664d67c0f
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Book chapters
pp. 43
Stationarity, Mixing, Distributional Properties and Moments of GARCH(p, q)–Processes
pp. 201
Multivariate GARCH Models
pp. 233
Stochastic Volatility: Origins and Overview
pp. 365
Multivariate Stochastic Volatility
pp. 457
Lévy–Driven Continuous–Time ARMA Processes
pp. 555
Realized Volatility
pp. 753
Value–at–Risk Models
pp. 767
Copula–Based Models for Financial Time Series
pp. 801
Evaluating Volatility and Correlation Forecasts
pp. 953
Modelling Financial High Frequency Data Using Point Processes
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