A predictive regression for y(t) and a time series representation of the predictors, x(t), together imply a univariate reduced form for y(t). In this paper we work backwards, and ask: if we observe y(t), what do its univariate properties tell us about any x(t) in the "predictive space"...

Any non-stationary series can be decomposed into permanent (or "trend") and transitory (or "cycle") components. Typically some atheoretic pre-filtering procedure is applied to extract the permanent component. This paper argues that analysis of the fundamental underlying stationary economic...

Any non-stationary series can be decomposed into permanent (or 'trend') and transitory (or 'cycle') components. Typically some atheoretic pre-filtering procedure is applied to extract the permanent component. This paper argues that analysis of the fundamental underlying stationary economic...

This paper investigates the use of alternative measures of dividend yields to predict US aggregate stock returns. Following <link rid="b30">Miller and Modigliani</link> ["Journal of Business" (1961), Vol. 34, pp. 411-433] we construct a cashflow yield that includes both dividend and non-dividend cashflows to...

If stock prices followed a random walk, uncertainty about future stock prices would be so great that the observed bias towards equities in long-term investment portfolios would be surprising. The good news is that if, as a growing body of research suggests, there is even a weak tendency for...