Complexity in Financial Networks
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Complexity".
Deadline for manuscript submissions: 31 August 2024 | Viewed by 987
Special Issue Editors
Interests: financial complexity; mining finance; resource and environmental economics and management; managing scientific complexity
Interests: applied finance; behavioral finance; corporate finance derivatives; finance theory; financial management; integrative cases in finance; introduction to finance; introduction to organizations and management investments port
Interests: energy economics; time series analysis; Chinese economic studies; energy investment; energy policy; networks; econophysics; complex systems
Special Issue Information
Dear Colleagues,
A financial system is a type of nonlinear dynamic system, but it is much more complex since human behavior is involved. One significant and effective way to explore and understand nonlinear dynamic systems is through complex network theory. By considering the financial system as a multilayer network with heterogeneous entities, including various financial markets, institutions, and stakeholders from different countries and regions, all these entities interact with each other through financial activities determined mainly by the available information. This network understanding of the financial system sheds light on the complexity of the financial system following the 2008 global financial crisis.
Information theory is a branch of applied mathematics that involves the quantification of information, while financial complexity is closely related to information. Specifically, key concepts from information theory involving entropy and mutual information offer effective tools for measuring uncertainties associated with a random variable and how knowledge about one random variable reduces uncertainty about another. All these contents are well aligned with the uncertainty and complex nature of the financial network.
Currently, the entire financial system is accelerating to face the occurrence of various uncertainties, such as geopolitical tensions (Israel and Iran in 2023), the Russian–Ukrainian crisis (since February 2022), and long COVID-19 (since 2020), leading to the highest degrees of complexity and uncertainties observed so far in the financial system. Therefore, it is necessary to further develop tools based on complexity, network, and information theory that could work well to complement existing economic modeling approaches.
Here, we collect various theoretical, modeling, and empirical contributions from the field of financial network. In particular, as we aim to align with the scope of the Entropy journal, manuscripts that integrate information theory are welcome.
Dr. Shupei Huang
Prof. Dr. Brian Lucey
Dr. Xueyong Liu
Dr. Xinya Wang
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
- financial network analysis
- information spillover in financial systems
- multilayer networks in finance
- uncertainties in financial network
