An increase in the number of asset pricing models intensifies model uncertainties in assetpricing. While a pure "model selection" (singling out a best model) can result in a loss of usefulinformation, a full “model pooling” may increase the risk of including noisy information.We make a...

This paper explores stock return predictability by exploiting the cross-section of oil futures prices. Motivated by the principal component analysis, we find the curvature factor of the oil futures curve predicts monthly stock returns: a 1% per month increase in the curvature factor predicts...

We assume that the instantaneous riskless rate reverts toward a central tendency which, in turn, is changing stochastically over time. As a result, current short-term rates are not sufficient to predict future short- term rate movements, as it would be the case if the central tendency were...

We study the time-varying dependence of sovereign credit default swap (CDS) spreads on real-time, country-specific macro indicators during the eurozone sovereign debt crisis. Macro fundamentals explain 66% of the time-series variance of CDS spreads, but the time variation in macro sensitivities...