Long Memory and ARCH: Time Series

This lecture covers the concept of long memory in time series, where the covariance decays polynomially, and ARCH models used in financial time series to model volatility clusters. Long memory is related to self-similar processes, while ARCH models capture changes in volatility. The lecture delves into the mathematical definitions, properties, and estimation methods of both long memory and ARCH models.