Autoregressive conditional heteroskedasticity

Autoregressive conditional heteroskedasticity

Jesse Russell Ronald Cohn

     

бумажная книга



ISBN: 978-5-5138-9722-4

High Quality Content by WIKIPEDIA articles! In econometrics, AutoRegressive Conditional Heteroskedasticity (ARCH) models are used to characterize and model observed time series. They are used whenever there is reason to believe that, at any point in a series, the terms will have a characteristic size, or variance. In particular ARCH models assume the variance of the current error term or innovation to be a function of the actual sizes of the previous time periods` error terms: often the variance is related to the squares of the previous innovations.