This paper analyses the long-memory properties of a high-frequency financial time series dataset. It focuses on temporal aggregation and other features of the data, and how they might affect the degree of dependence of the series. Fractional integration or I(d) models are estimated with a...

This paper examines several US monthly financial time series data using fractional integration and cointegration techniques. The univariate analysis based on fractional integration aims to determine whether the series are I(1) (in which case markets might be efficient) or alternatively I(d) with...

The 2008-2009 global financial crisis has raised new questions about the relationship between equity fund flows and stock market returns. This paper analyses it using US monthly data over the period 2000:1-2015:08. A VAR-GARCH(1,1)-in-mean model with a BEKK representation is estimated, and a...