Shanghai Containerized Freight Index (SCFI) and 12 Market Factor Interdependencies

A 5.5 KB Excel dataset by Yanhui Chen, last updated in April 2026, explores the nonlinear dynamic interdependence between the Shanghai Containerized Freight Index (SCFI) and 12 factors from stock, commodity, carbon, and other markets. The analysis uses a data decomposition–reconstruction-based time-varying copula method to examine tail risk associations across short, medium, and long-term horizons.

Use Cases

• Modeling tail risk interdependence between shipping freight rates and stock market factors based on the described time-varying copula method.
• Assessing hedging strategies for SCFI futures based on their medium- and long-term dependence with commodity and carbon markets.
• Analyzing the impact of extreme risk events on freight rate fluctuations based on the finding that dependence intensifies during such periods.
• Investigating the differential influence of upside and downside tail risks on SCFI across various time horizons as described in the paper.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and initial inspection.
• Analysis is explicitly tied to a specific financial instrument (SCFI futures) launched in August 2023, providing a clear real-world context.
• The research examines interdependencies across 12 distinct market factors, suggesting a multi-dimensional analytical scope.

Limitations

• Row count and specific column definitions are unknown, requiring manual inspection after download to understand the data structure.
• The dataset's small size (5.5 KB) indicates it likely contains aggregated or summary results rather than raw, high-frequency time series data.
• Description metadata is limited; actual data quality and completeness require manual verification.

Provenance

Source

Yanhui Chen via figshare.

Collection Method

Likely contains processed or derived data from the analysis of SCFI and 12 market factors using a time-varying copula method.

Time Range

The study references the launch of SCFI futures in August 2023, but the specific temporal coverage of the underlying data is not stated.

Freshness

Last updated 2026-04 21 17:52:28; freshness should be verified.

Geography

Focus is on the Shanghai Containerized Freight Index, implying a primary relevance to Chinese and global shipping markets.