Work

Quantifying Cross-Border Risk Shocks to China’s New Energy Industry: Evidence from Frequency-Domain Networks and Interpretable Machine Learning

Year: 2026

Type: article

Source: Emerging Markets Finance and Trade

DOI: 10.1080/1540496x.2026.2722134

Authors: Ditian Zhang, Chun Tang, Yangyang Zhuang

Institutions: Nanjing Tech University, Soochow University, Southeast University

Language: English

Topic: Market Dynamics and Volatility

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Decent work and economic growth

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: G3532283900

OpenAlex ID: W7204446770

FWCI:

Cites: 43

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