The paper develops an oil price forecasting technique which is based on the present value model of rational commodity pricing. The approach suggests shifting the forecasting problem to the marginal convenience yield which can be derived from the cost-of-carry relationship. In a recursive...

We develop an extended mean-variance model to investigate the relationship between variance risk premia (VRP) and expected futures returns in the commodity market. In the presence of stochastic variance, commodity producers trade both futures and options to hedge their exposure to commodity...

We find out-of-sample predictability of commodity futures excess returns using forecast combinations of 28 potential predictors. Such gains in forecast accuracy translate into economically significant improvements in certainty equivalent returns and Sharpe ratios for a mean-variance investor....

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...

There has been substantial research effort aimed to forecast futures price return volatilities of financial and commodity assets. Some part of this research focuses on the performance of time-series models (in particular ARCH models) versus option implied volatility models. A significant part of...

We explore the relationship between sticky wages and risk. Like operating leverage, sticky wages are a source of risk for the firm. Firms, industries, regions, or times with especially high or rigid wages are especially risky. If wages are sticky, then wage growth should negatively forecast...

We study the impact of labor market frictions on asset prices. In the cross section of U.S. firms, a 10 percentage points increase in the firm's hiring rate is associated with a 1.5 percentage points decrease in the firm's annual risk premium. We propose an investment-based model with stochastic...

This paper finds significant evidence that commodity price changes can predict industry-level returns for horizons between one trading day and up to six trading weeks (30 days). We find that for the 1985-2010 period, 40 out of 49 U.S. industries can be predicted by at least one commodity. Our...

Most central banks effect changes to their target or policy rate in discrete increments (e.g., multiples of 0.25%) following public announcements on scheduled dates. Still, for most applications, researchers rely on the assumption that the policy rate changes linearly with economic conditions...