Evidence map›Paper›PMID 41955192›Full record

ArticlePloS one2026

Revisiting price linkages between London and Shanghai base metal futures markets: A time-frequency connectedness analysis.

Cunhai Pan, Wei Shen

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Cunhai PanSchool of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing, China.
Wei ShenSchool of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Against the backdrop of recent global events (including the COVID-19 pandemic, the Russia-Ukraine war, and escalating trade tensions), this paper revisits price linkages between the London Metal Exchange (LME) and the Shanghai Futures Exchange (SHFE) base metal futures markets. Utilizing a Time-Varying Parameter Vector Autoregressive (TVP-VAR) frequency-based connectedness approach, we analyze daily data (2017-2024) to uncover dynamic spillovers across copper, nickel, aluminum, and zinc. The results demonstrate that the LME maintains its role as the global pricing benchmark, particularly for copper (42.82% contribution to SHFE variance), while the SHFE remains a net receiver, with short-term effects dominating (e.g., the SHFE market absorbs 36.87% of the short-term net spillover effects). Despite China's internationalization efforts, the SHFE's price leadership has declined relative to its historical position, reflecting the combined effects of domestic structural adjustments, institutional frictions, and major global shocks. Both markets exhibit event-specific sensitivities: the LME's influence surged during supply chain crises (e.g., 2022 nickel short squeeze), while the SHFE's responsiveness is constrained by institutional barriers. These findings underscore the LME's role as a global pricing benchmark and urge policymakers in emerging economies to enhance market resilience through regulatory coordination, market development, and improved market transparency.

Indexed as

CommerceCOVID-19MetalsChinaHumansLondonNickelMetalsNickel

Identifiers

PMID41955192
PMCPMC13065061

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.