Research Repository

Volatility forecasting in commodity markets using macro uncertainty

Bakas, Dimitrios and Triantafyllou, Athanasios (2019) 'Volatility forecasting in commodity markets using macro uncertainty.' Energy Economics, 81. pp. 79-94. ISSN 0140-9883

1-s2.0-S0140988319300957-main.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (2MB) | Preview


In this paper, we empirically examine the predictive power of macroeconomic uncertainty on the volatility of agricultural, energy and metals commodity markets. We find that the latent macroeconomic uncertainty measure of Jurado et al. (2015) is a common volatility forecasting factor for commodity markets, which provides statistically significant volatility predictions for forecasting horizons up to twelve months ahead. The results indicate that the forecasting power of macroeconomic uncertainty is higher when predicting the volatility of energy commodities. Our findings also show that higher macroeconomic uncertainty is associated with large volatility episodes subsequently observed in all commodity markets. The predictive power of the unobservable macroeconomic uncertainty factor remains robust to the inclusion of observable economic uncertainty measures, historical commodity price volatility, stock-market realized and news implied volatility, oil price shocks and other macroeconomic variables which are closely related to the production process and the mechanics of commodity markets.

Item Type: Article
Uncontrolled Keywords: Commodity markets; Volatility; Macroeconomic uncertainty; Forecasting
Subjects: H Social Sciences > HG Finance
Divisions: Faculty of Social Sciences
Faculty of Social Sciences > Essex Business School
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 29 Mar 2019 09:25
Last Modified: 23 Sep 2022 19:31

Actions (login required)

View Item View Item