This study shows how the investor sentiment in the stock market affects prices of commodity exchange-traded funds (ETFs). The study provides quantitative evidence that the tracking errors of commodity ETFs differ in the bullish versus the bearish stock market, and the aggregate tracking error of...

On the 30th anniversary of the seminal article by Pindyck (1993), we re-evaluate the evidence for the classical rational model of commodity prices, extending it to admit time- varying discount rates, investors’ heterogeneity or both. Discount factors specifications are flexible enough to allow...

This paper tests the hypothesis that long-short speculators are able to generate short-term investment returns based on their sentiment for twelve agricultural commodity futures. For this purpose, we dynamically model the equidirectional trading of long and short commodity futures of long-short...

In this study, we use high-frequency microstructure components to explore commodity ETF herding. We employ a new GARCH model incorporating cross-sectional and market volatility at 15-, 30-, 45-, and 60-minute intervals. We document that during market instability and the COVID-19 pandemic,...