This article investigates the pricing of volatility risk in agricultural commodity markets. We show theoretically that the cost of bearing volatility risk can be measured using returns to delta-neutral straddles. Using a sample of options for five commodities (corn, soybeans, Chicago wheat, live...

Annual rebalancing of the S&P GSCI index provides a novel and strong identification to estimate the shape of supply curves for commodity futures contracts. Using the 24 commodities included in the S&P GSCI for 2004–2017, we show that cumulative abnormal returns (CARs) reach a peak of 59 basis...

We predict asset returns and measure risk premia using a prominent technique from artificial intelligence -- deep sequence modeling. Because asset returns often exhibit sequential dependence that may not be effectively captured by conventional time series models, sequence modeling offers a...