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Modeling Volatility Dynamics

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Presentation on theme: "Modeling Volatility Dynamics"— Presentation transcript:

1 Modeling Volatility Dynamics
ARCH and GARCH Modeling Volatility Dynamics

2 Modeling Unequal Variability
Equal Variability: Homoscedasticity Unequal Variability: Heteroscedasticity Means any variability (around the mean) that is not homoscedasticity Models must be developed for specific cases

3 What These Acronym Mean?
ARCH Autoregressive Conditional Heteroscedasticity GARCH Generalized ARCH

4 Information in e2 Let et have the mean 0 and the variance st.
Let et be the residual of a model fitted. Then: et estimates et et2 estimates the variance st2.

5 ARCH Modeling of st2. ARCH(1) ARCH as AR(1) on

6 GARCH GARCH(1) GARCH (1) as ARMA(1,1) on

7 Asymmetry in GARCH - TARCH
d = 1 if et < 0, and = 0 if et > 0

8 Asymmetry in GARCH - EGARCH

9 ARCH(p, q) series_name c
Eviews Command ARCH(p, q) series_name c


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