In this paper we adopt a principal components analysis (PCA) to reduce the dimensionality of the term structure and employ autoregressive models (AR) to forecast principal components which, in turn, are used to forecast swap rates. Arguing in favor of structural variation, we propose data...

The characterization of term premia movements continues to be a puzzle in finance though the term premia are used for return predictability and studying broader economic activity. We analyze the movements of the first and second conditional moments of term premia in a non-linear non- parametric...