Autoregressive Conditional Heteroskedasticity (ARCH)

Definition:

A nonlinear stochastic process, where the variance is time-varying, and a function of the past variance. ARCH processes have frequency distributions which have high peaks at the mean and fat-tails, much like fractal distributions. The ARCH model was invented by Robert Engle. The Generalized ARCH (GARCH) model is the most widely used and was pioneered by Tim Bollerslev. See: Fractal Distributions.

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Copyright © 2011 Campbell R. Harvey, Professor of Finance, Fuqua School of Business at Duke University

Term of the Day

Negative convexity

A bond characteristic such that the price appreciation will be less than the price depreciation for a large change in yield of a given number of basis points. For example, a fixed-rate mortgage may... Read More

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