Analysis and forecasting of self-similar financial time series

Abstract

Time series of prices of MSFT ticker are considered. Results on selfsimilarity of this time series are presented. A method of prediction from FARIMA model for long-range dependent time series is described. This method is used for prediction of MSFT time series of prices that exhibits long-range dependence with the Hurst parameter close to 1.