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GARCH 101: The Use of ARCH/GARCH Models in Applied Econometrics

The Journal of Economic Perspectives · 2001 · Vol. 15(4) · pp. 157–168
Robert F. Engle

Abstract

ARCH and GARCH models have become important tools in the analysis of time series data, particularly in financial applications. These models are especially useful when the goal of the study is to analyze and forecast volatility. This paper gives the motivation behind the simplest GARCH model and illustrates its usefulness in examining portfolio risk. Extensions are briefly discussed.

Financial Risk and Volatility ModelingMonetary Policy and Economic ImpactMarket Dynamics and VolatilityAutoregressive conditional heteroskedasticityVolatility (finance)EconometricsArchPortfolioEconomicsFinancial economicsEngineering
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References
Generalized autoregressive conditional heteroskedasticity
Journal of Econometrics · 1986 · 22,015 citations
Measuring and Testing the Impact of News on Volatility
The Journal of Finance · 1993 · 3,678 citations
Regression Quantiles
Econometrica · 1978 · 12,476 citations
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