GARCH

GARCH: Understanding Volatility in Financial Time Series
Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models are essential for capturing changing volatility in financial time series.
The GARCH Process: Applications and Variations in Financial Markets
An in-depth exploration of the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) process, its applications in financial markets, different forms, and methodological considerations.

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