Abstract
This paper provides a survey of long memory models and their applications in economic and financial time series. Section 2 describes the definition of long memory models, particularly two popular models, ARFIMA and FGN. Section 3 describes unit roots tests and cointegration, two major topics of the recent decades in theoretical and applied econometrics. Section 4 discusses a generalization of unit roots tests and cointegration to long memory models. Section 5 describes ARCH models and SV models which have been paid much attention to analyze volatility in actual financial data. Section 6 considers a generalization of these volatility models to those with long memory properties. Finally Section 7 considers some problems to be solved in future.
