With the recent availability of high-frequency Financial data the long range dependence of volatility regained researchers' interest and has lead to the consideration of long memory models for realized volatility. The long range diagnosis of volatility, however, is usually stated for long sample...

Principal component analysis denotes a popular algorithmic technique to dimension reduction and factor extraction. Spatial variants have been proposed to account for the particularities of spatial data, namely spatial heterogeneity and spatial autocorrelation, and we present a novel approach...

This paper studies the interplay of fiscal policy and asset price returns of the United States in a time-varying-parameter vector autoregressive model. Using annual data from 1890 to 2013, we study the effects of dynamic shocks to both fiscal policy and asset returns on asset returns and fiscal...