The aim of this study is to test the ability of the yield curve on US government bonds to forecast the future evolution in the prices of commodities often used in as raw materials. We consider the monthly prices of nine commodities for more than 30 years. Our findings, confirmed by several...

The paper seeks to answer the question of how price forecasting can contribute to which techniques gives the most accurate results in the futures commodity market. A total of two families of models (decision trees, artificial intelligence) were used to produce estimates for 2018 and 2022 for 21-...

This paper 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...

Short-term forecasting is usually made in recent literature by modeling the spot price of commodities such as coffee and cattle with ARIMA models and in some articles including volatility models. Unlike such articles, herein the models of the spot price of coffee and cattle are estimated...

The present paper has two main objectives: first, to accurately estimate commodity price uncertainty; and second to analyze the uncertainty connectedness among commodity markets and the macroeconomic uncertainty, using the time-varying vector-autoregressive (TVP-VAR) model. We use eight main...