Commodity prices

2 papers in the last 7 days · 3 of its 6 datasets mentioned

Benchmark prices of crude oil, natural gas, metals and agricultural commodities.

Key findings

Datasets in the category “Commodity prices” were mentioned in 18 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #23 of the 58 data categories mentioned.
The most-mentioned were WTI crude oil (9), Brent crude oil (8) and London Metal Exchange / LBMA (2).
By journal category: Finance (9), Economics (7), Management (1) and AI (1).
Most of them appeared in Finance research letters (3), Future Business Journal (1) and Portuguese Economic Journal (1).

Datasets

Datasets in this category · 2026-09-27 – 2026-10-26 (30 days)
Dataset	Papers	Last 7 days	Names searched for
WTI crude oil	9	2	West Texas Intermediate, WTI
Brent crude oil	8	0	Brent crude, Brent oil, Brent price
London Metal Exchange / LBMA	2	0	London Metal Exchange, LBMA, London Bullion Market
Henry Hub natural gas	0	0	Henry Hub
S&P GSCI / Bloomberg Commodity Index	0	0	S&P GSCI, GSCI, Bloomberg Commodity Index
World Bank Pink Sheet	0	0	World Bank Pink Sheet, World Bank Commodity Price

Papers mentioning these datasets, newest first.
Date	Title	Journal	Authors	Affiliations	Datasets mentioned
2026-10-23	Evaluating machine learning and econometric models for inflation forecasting: evidence from a Sub-Saharan African panel	Future Business Journal	Baffour Osei, Abigail Boatemaa, Isaac Nyame et al.	University of Skills Training and Entrepreneurial Development; University of Bradford; Kwame Nkrumah University of Science and Technology; …	WTI crude oil
2026-10-21	Forecasting crude oil price with a visibility graph model	Finance research letters	欧阳资生, Yinquan Qi, Min Lu et al.	Hunan Normal University	WTI crude oil
2026-10-15	Geopolitical risk spillovers among GCC stock markets, non-renewable energy, and gold: evidence from a quantile connectedness approach	Portuguese Economic Journal	Nidhal Mgadmi, Fekria Belhouichet, Ştefan Cristian Gherghina et al.	University of Sfax; Faculty of Economics and Management of Sfax; Bucharest University of Economic Studies; …	WTI crude oil
2026-10-15	Energy firms and global equity returns during escalations and de-escalations in the 2025–2026 Iran-US/Israel conflicts	Finance research letters	Björn Miketta, Christian Ludwig, Florian Gärtner et al.	Justus-Liebig-Universität Gießen	Brent crude oil
2026-10-13	A context-aware dynamic ensemble interval-valued crude oil price forecasting system	Information Processing & Management	Wendong Yang, Junyuan Li, Shuai Wang et al.	Shandong University of Finance and Economics; Shandong Normal University	WTI crude oil, Brent crude oil
2026-10-09	When the strait stops: The 2026 Hormuz crisis and the frequency analysis of commodity market connectedness	The Quarterly Review of Economics and Finance	Mucahit Kochan, Cigdem Gonul Kochan	Northeastern Illinois University	Brent crude oil
2026-10-08	Oil Shocks and Industry 4.0 Sectors: Quantile Time–frequency Connectedness and Causality Evidence	Asia-Pacific Financial Markets	Hee-Un Ko, Nayanjyoti Bhattacharjee, Amit Kumar Narzary et al.	Jeonbuk State Institute; Bodoland University; University of South Australia; …	WTI crude oil
2026-10-07	Testing for dominance in risk transmission mechanisms towards the European energy market	Finance research letters	Jone Ascorbebeitia, Eva Ferreira, Susan Orbe	University of the Basque Country	WTI crude oil
2026-10-06	Is bitcoin a hedge against central banking? Evidence from AI-driven monetary policy expectations	Journal of International Money and Finance	Maxime L. D. Nicolas, François Sicard, Marion Labouré et al.	University College London; Deutsche Bank (United Kingdom)	Brent crude oil
2026-10-03	Tail Dependence in EU Carbon Markets: Graphical Models of Extremes for EUA Futures	Computational Economics	Jan Maciejowski, Manuele Leonelli	IE University	Brent crude oil
2026-10-01	The role of memory structure in tail risk forecasting for WTI crude oil futures	Energy Economics	Xinyu Cao, Yan Li, Zongxin Qian	Renmin University of China	WTI crude oil
2026-10-01	Behavioural and permanent equilibrium exchange rates in a Bayesian cointegrated system: Evidence from Poland	Economic Systems	Patryk Norbert Kołbyko	Maria Curie-Skłodowska University	Brent crude oil
2026-10-01	Analyzing the dynamic connectedness and quantile dependence between carbon and fossil energy markets	Journal of commodity markets	Walid Mensi, Salem Adel Ziadat, Bashar Yaser Almansour et al.	Sultan Qaboos University; Tunis El Manar University; University of Jordan; …	WTI crude oil
2026-10-01	Non-ferrous metal price prediction based on a three-stage prediction model and optimized double decomposition	Empirical Economics	Rui Wang, Yulong Bai, Qi Song et al.	Northwest Normal University	London Metal Exchange / LBMA
2026-10-01	Forecasting the price of carbon with macroeconomic and financial variables	Journal of Economic Dynamics and Control	Andrea Bastianin, Elisabetta Mirto, Yan Qin et al.	University of Milan; Fondazione Eni Enrico Mattei; Swiss National Bank	Brent crude oil
2026-09-30	Oil prices and the pricing of green equity ETFs: Evidence on greenium dynamics	The Journal of Finance and Data Science	José Alejandro Fernández Fernández, Miguel Ángel Casquet, Sonia Quiroga	Universidad Complutense de Madrid	Brent crude oil
2026-09-29	The price of ethics: Liquidity and safe haven properties of responsible physical gold ETPs	Research in International Business and Finance	Borja Amor Tapia, Paula Castro, María Teresa Tascón Fernández	Universidad de León	London Metal Exchange / LBMA
2026-09-28	A Korean macroeconomic database for data-rich policy analysis and U.S.–Korea dependence	Journal of Asian Economics	Changryong Baek, Seung Hyun Moon, Seunghyeon Lee	Sungkyunkwan University; Seoul National University; Bank of Korea	WTI crude oil

Cite this page

Scholar4AI. (2026). Commodity prices. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/datasets/commodity-prices

@misc{scholar4ai-datasets-commodity-prices,
  author = {{Scholar4AI}},
  title = {Commodity prices},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/commodity-prices}},
  urldate = {2026-10-26},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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