Journal of Commodity Markets

Papers
(The H4-Index of Journal of Commodity Markets is 21. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
The strategic allocation to style-integrated portfolios of commodity futures65
Financial investors and cross-commodity markets integration62
Carr and Wu’s (2020) framework in the oil ETF option market61
The economic impact of daily volatility persistence on energy markets59
Microstructure and high-frequency price discovery in the soybean complex56
Commodity momentum: A tale of countries and sectors44
Weathering market swings: Does climate risk matter for agricultural commodity price predictability?40
Editorial Board39
Commodity prices under the threat of operational disruptions: Labor strikes at copper mines38
Coal price shock propagation through sectoral financial interconnectedness in China's stock market: Quantile coherency network modelling and shock decomposition analysis36
Managing the oil market under misinformation: A reasonable quest?36
Extremal dependence in Australian electricity markets34
From Paris to Pandemic: How climate risk and policy uncertainty shapes fossil and clean Energy commodities32
Quantile dependencies and connectedness between stock and precious metals markets31
Revisiting the Silver Crisis30
The evolution of commodity market financialization: Implications for portfolio diversification29
The oil industry chain under climate risk: Evidence from China's listed oil companies29
Editorial Board28
The role of financial development in enhancing trades in environmental goods: International insights from 119 countries27
Equilibrium and real options in the ethanol industry: Modeling and empirical evidence22
Gold risk premium estimation with machine learning methods22
Logistics competition between the U.S. and Brazil for soybean shipments to China: An optimized Monte Carlo simulation approach21
What factors play an important role in crude oil returns forecasting? New evidence from group predictors and multiple time scales21
Assessing government expenditures multipliers under oil price swings21
0.41681599617004