Manuscript Topics

Since 2022, due to the complicated and fickle international environment, the global financial market has faced severe challenges. The uncertainty and instability of the global financial market was being increasing, which has been significantly changing the global financial market. Various risks were spawned and they spread across the financial markets and financial assets. As a result, it causes a growing demand for risk management. In general, risk contagion will form a network and network modelling and analysis should be applied in risk description and management. At the same time, the emergence of big data technology promotes the evolution from structured data to unstructured data, which drives network data analysis a hot issue with difficulties and challenges. To solve these problems, it is necessary that the cutting-edge statistical theories and methods should be involved.

This special issue focuses on the application of statistical theory and methods in risk management and network analysis. Both high-quality theoretical and empirical papers are welcomed. We hope that this special issue can provide an interdisciplinary platform linking statistical theories, methods, to any problems rising from risk management and network analysis together, and further promote the emergence of new research directions and fields. Hence, papers applying statistical theory and methods to risk management and network analysis are all suitable to this special issue.

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