What is GARCH Process?
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The generalized autoregressive conditional heteroskedasticity (GARCH) process is an econometric term developed in 1982 by Robert F. Engle, an economist and 2003 winner of the Nobel Memorial Prize for Economics. GARCH describes an approach to estimate volatility in financial markets.There are several forms of GARCH modeling. Financial professionals often prefer the GARCH process because it provides a more real-world context than other models when trying to predict the prices and rates of financial instruments.
