autoregressive conditional heteroskedasticity

Inherent in Engle’s autoregressive conditional heteroskedasticity (known as ARCH) model was the concept that, while most volatility is embedded in random error, its variance depends on previously realized random errors, with large errors being followed by large errors and small by small. This contrasted with earlier models wherein…