entropy-logo

Journal Browser

Journal Browser

Risk Spillover and Transfer Entropy in Complex Financial Networks

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Complexity".

Deadline for manuscript submissions: 15 September 2025 | Viewed by 1836

Special Issue Editors


E-Mail Website
Guest Editor
School of Management, Northwestern Polytechnical University, Xi’an 710129, China
Interests: financial network; climate finance; international trade network; econophysics; statistical physics

E-Mail Website
Guest Editor
Business School, Hunan University, Changsha 410082, China
Interests: risk spillover; financial network; portfolio optimization; financial market

E-Mail Website
Guest Editor
School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China
Interests: financial analysis; topological data analysis; time series; econophysics; complex networks; nonlinear dynamics

E-Mail Website
Guest Editor
School of Management, Northwestern Polytechnical University, Xi’an 710129, China
Interests: financial network; risk contagion; climate risk; green innovation

Special Issue Information

Dear Colleagues,

Understanding and managing systemic risk in complex financial networks is crucial for maintaining financial stability and preventing cascading effects during periods of financial distress. The interconnectedness and interdependencies among financial institutions and markets can lead to the propagation and amplification of risks across the system. Identifying the channels through which risks are transmitted and quantifying the magnitude of risk spillover is vital for effective risk management and regulatory policies. Transfer entropy, and other measures derived from statistical theory, has emerged as a powerful tool to capture the directional flow of risks and information within complex networks. This Special Issue aims to explore and showcase the latest advancements in the analysis of risk spillover using transfer entropy (also include other statistical methods) in complex financial networks.

The objective of this Special Issue is to bring together cutting-edge research on the application of transfer entropy to understanding risk spillover in complex financial networks. We invite original research articles, reviews, and conceptual papers addressing various aspects related to risk spillover, transfer entropy, interconnectedness, and systemic risk in financial systems. Contributions may include, but are not limited to, the following topics:

  • Development and refinement of transfer entropy models and other statistical measures for capturing risk spillover.
  • Risk transmission channels and pathway identification using transfer entropy and other statistical measures in complex financial networks.
  • The role of key nodes and institutions in risk spillover within financial networks.
  • Empirical studies on risk transmission and spillover effects in different financial markets.
  • Applications of transfer entropy and other statistical measures in risk monitoring, early warning systems, and systemic risk assessment.

We welcome researchers from various disciplines, including finance, economics, network science, and complex systems, to contribute to this Special Issue. The papers will undergo a rigorous peer-review process to ensure the scientific rigor and quality of the published articles.

In conclusion, this Special Issue on "Risk Spillover and Transfer Entropy in Complex Financial Networks" aims to advance the knowledge and understanding of risk transmission and systemic risk in financial systems using transfer entropy analysis. By examining risk spillover dynamics and quantifying information flows, we aim to provide insights that can enhance the resilience and stability of financial networks.

Dr. Longfeng Zhao
Prof. Dr. Gang-Jin Wang
Dr. Chun-Xiao Nie
Prof. Dr. Lin Chen
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • risk spillover
  • systemic risk
  • complex financial networks
  • transfer entropy
  • interconnectedness
  • interdependencies
  • financial stability
  • risk management
  • regulatory policies

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

26 pages, 5493 KiB  
Article
Too Sensitive to Fail: The Impact of Sentiment Connectedness on Stock Price Crash Risk
by Jie Cao, Guoqing He and Yaping Jiao
Entropy 2025, 27(4), 345; https://doi.org/10.3390/e27040345 - 27 Mar 2025
Viewed by 461
Abstract
Using a sample of S&P 500 stocks, this paper examines the investor sentiment spillover network between firms and assesses how the sentiment connectedness in the network impacts stock price crash risk. We demonstrate that firms with higher sentiment connectedness are more likely to [...] Read more.
Using a sample of S&P 500 stocks, this paper examines the investor sentiment spillover network between firms and assesses how the sentiment connectedness in the network impacts stock price crash risk. We demonstrate that firms with higher sentiment connectedness are more likely to crash as they spread more irrational sentiment signals and are more sensitive to investor behaviors. Notably, we find that the effect of investor sentiment on crash risk mainly stems from sentiment connectedness among firms rather than firms’ individual sentiment, especially when market sentiment is surging or declining. These findings remain robust after controlling for other determinants of crash risk, including stock price synchronicity, accounting conservatism, and internal corporate governance strength. Our results underscore the importance of sentiment connectedness among firms and provide valuable insights for risk management among investors and regulatory authorities involved in monitoring risk. Full article
(This article belongs to the Special Issue Risk Spillover and Transfer Entropy in Complex Financial Networks)
Show Figures

Figure 1

17 pages, 821 KiB  
Article
Measuring the Risk Spillover Effect of RCEP Stock Markets: Evidence from the TVP-VAR Model and Transfer Entropy
by Yijiang Zou, Qinghua Chen, Jihui Han and Mingzhong Xiao
Entropy 2025, 27(1), 81; https://doi.org/10.3390/e27010081 - 17 Jan 2025
Viewed by 877
Abstract
This paper selects daily stock market trading data of RCEP member countries from 3 December 2007 to 9 December 2024 and employs the Time-Varying Parameter Vector Autoregression (TVP-VAR) model and transfer entropy to measure the time-varying volatility spillover effects among the stock markets [...] Read more.
This paper selects daily stock market trading data of RCEP member countries from 3 December 2007 to 9 December 2024 and employs the Time-Varying Parameter Vector Autoregression (TVP-VAR) model and transfer entropy to measure the time-varying volatility spillover effects among the stock markets of the sampled countries. The results indicate that the signing of the RCEP has strengthened the interconnectedness of member countries’ stock markets, with an overall upward trend in volatility spillover effects, which become even more pronounced during periods of financial turbulence. Within the structure of RCEP member stock markets, China is identified as a net risk receiver, while countries like Japan and South Korea act as net risk spillover contributors. This highlights the current “fragility” of China’s stock market, making it susceptible to risk shocks from the stock markets of economically developed RCEP member countries. This analysis suggests that significant changes in bidirectional risk spillover relationships between China’s stock market and those of other RCEP members coincided with the signing and implementation of the RCEP agreement. Full article
(This article belongs to the Special Issue Risk Spillover and Transfer Entropy in Complex Financial Networks)
Show Figures

Figure 1

Back to TopTop