This article shows that commodity portfolios that capture the backwardation and contango phases exhibit in-sample and out-of-sample predictive power for the first two moments of the distribution of long-horizon aggregate equity market returns, and for the business cycle. It also demonstrates that a pricing model based on the corresponding backwardation and contango risk factors explains relatively well a wide cross-section of equity portfolios. The cross-sectional “hedging” risk prices are economically consistent with the direction of long-horizon predictability. Backwardation and contango thus act as plausible investment opportunity state variables in the context of Merton’s (1973) intertemporal capital asset pricing model.

The paper provides a comprehensive appraisal of style-integration methods in equity index, fixed income, currency, and commodity futures markets. We confront the naïve equal-weight integration (EWI) method with a host of ‘sophisticated’ style-integrations that derive the style exposures using past data according to utility maximization, style rotation, volatility timing, cross-sectional pricing, style momentum or principal components criteria. The analysis, conducted separately per futures market and cross-markets, reveals that the EWI portfolio is unrivalled in terms of risk-adjusted performance while it sustains a relatively low turnover. The findings are robust to analyses that entertain variants of the sophisticated integrations, longer estimation windows, several asset scoring schemes, data snooping tests, sub-periods evaluation and equities in place of futures.

This paper introduces the tone-overlay framework for adjusting traditional commodity signals based on the level of salient optimism or pessimism in commodity newswires. By implementing the novel tone-overlay allocation strategy on 26 commodities using traditional allocation signals, we demonstrate that the resulting long-short portfolios yield substantial performance gains compared to the corresponding plain-vanilla traditional portfolios. Our findings suggest that newswire tone provides short-term predictive power for commodity futures returns, beyond well-known commodity characteristics. The tone-overlay portfolios harness a temporary mispricing that reflects an overreaction of commodity futures prices to commodity-specific newswire tone. The outperformance of the tone overlay strengthens with the salience of the newswire tone, consistent with theories of limited investor attention.

This paper introduces a real-time, continuous measure of national sentiment that is language-free and thus comparable globally: the positivity of songs that individuals choose to listen to. This is a direct measure of mood that does not pre-specify certain mood-affecting events nor assume the extent of their impact on investors. We validate our music-based sentiment measure by correlating it with mood swings induced by seasonal factors, weather conditions, and COVID-related restrictions. We find that music sentiment is positively correlated with same-week equity market returns and negatively correlated with next-week returns, consistent with sentiment-induced temporary mispricing. Results also hold under a daily analysis and are stronger when trading restrictions limit arbitrage. Music sentiment also predicts increases in net mutual fund flows, and absolute sentiment precedes a rise in stock market volatility. It is negatively associated with government bond returns, consistent with a flight to safety.

We examine the profitability of a cross-asset time-series momentum strategy (XTSMOM) constructed using past changes in crude oil–implied volatility (OVX) and stock market returns as joint predictors. We show that employing the past changes in OVX in addition to past stock returns helps better predict future stock market returns globally. The XTSMOM outperforms the single-asset time-series momentum (TSMOM) and buy & hold strategies with higher mean returns, lower standard deviations, and higher Sharpe ratios. The XTSMOM can also forecast economic cycles. We contribute to the literature on cross-asset momentum spillovers as well as on the impacts of crude oil uncertainty on stock markets.

This article studies the relation between the skewness of commodity futures returns and expected returns. A trading strategy that takes long positions in commodity futures with the most negative skew and shorts those with the most positive skew generates significant excess returns that remain after controlling for exposure to well-known risk factors. A tradeable skewness factor explains the cross-section of commodity futures returns beyond exposures to standard risk premia. The impact that skewness has on future returns is explained by investors’ preferences for skewness under cumulative prospect theory and selective hedging practices.

We examine the commodity futures pricing role of active attention to weather, disease, geopolitical or economic threats or “hazard fear” as proxied by the volume of internet searches by 149 query terms. A long-short portfolio strategy that sorts the cross-section of commodity futures contracts according to a hazard fear signal captures a significant premium. This commodity hazard fear premium reflects compensation for extant fundamental, tail, volatility and liquidity risks factors, but it is not subsumed by them. Exposure to hazard-fear is strongly priced in the cross-section of commodity portfolios. The hazard fear premium exacerbates during periods of adverse sentiment or pessimism in financial markets.