Regression model

ARCH-LM Test for Volatility Clustering

The ARCH-LM test is Robert Engle's (1982) Lagrange multiplier diagnostic for autoregressive conditional heteroscedasticity in the residuals of a fitted time-series model. It checks whether the error variance changes over time and clusters into calm and turbulent periods, and it is the standard pre-test run before fitting a GARCH-family volatility model.

EconMind ile uygulaSoonVideoSoon

Tam yöntemi oku

Members only

Sign in with a free account to read this section.

Sign in

Sources

  1. Engle, R. F. (1982). Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation. Econometrica, 50(4), 987-1007. DOI: 10.2307/1912773
  2. Lee, J. H. H. (1991). A Lagrange Multiplier Test for GARCH Models. Economics Letters, 37(3), 265-271. DOI: 10.1016/0165-1765(91)90221-6

Related methods

Referenced by

ScholarGateARCH-LM Test (Engle's ARCH Lagrange Multiplier Test for Volatility Clustering). Retrieved 2026-06-04 from https://scholargate.app/tr/econometrics/arch-lm-test