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Impulse Response Function for Conditional Volatility in GARCH Models

Bibliographic Data

ID19419741
AuthorsWen-Ling Lin (0000-0001-6524-9171, corresponding author)
Year1997
Volume15
Issue1
Pages15-25
Publication date1997-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Business and Economic Statistics (JOURNAL)
Journal identifiersISSN: 0735-0015 • E-ISSN: 1537-2707
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/07350015.1997.10524682
OpenAlexW1990303559
LanguageEN
Citations received3
References cited25

This article defines and analyzes the impulse response function for conditional volatility in generalized autoregressive conditional heteroscedasticity (GARCH) models. It first derives the function from a vector autoregressive and moving average representation of the GARCH models and obtains the corresponding standard errors from the first-order derivatives of the function and the covariance matrix of the estimated parameters. Then this article employs a Monte Carlo study to assess the finite-sample properties of the standard errors and provides an empirical example of the dependence of exchange-rate volatility to demonstrate its use in empirical applications

Autoregressive conditional heteroskedasticity · Autoregressive model · Conditional variance · Econometrics · Financial models with long-tailed distributions and volatility clustering · Forward volatility · Heteroscedasticity · Impulse response · Stochastic volatility · Financial Risk and Volatility Modeling · Market Dynamics and Volatility · Mathematics · Monetary Policy and Economic Impact · Applied Mathematics

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Unique citing works3
Citations per year0.19
Citation span2010 - 2023 (14)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 3

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