 A multifaceted graph-wise network analysis of sector-based financial instruments’ price-based discrepancies with diverse statistical interdependenciesInsu Choi and Woo Chang Kim The North American Journal of Economics and Finance, 2025, vol. 75, issue PB Abstract: We explore discrepancies in financial networks, focusing on sector-based exchange-traded funds, through an in-depth analysis using statistical measures to validate interdependencies. By adopting methodologies such as the Minimum Spanning Tree, Average Linkage Minimum Spanning Tree, p-value-based networks, and Planar Maximally Filtered Graph, we investigate price-based discrepancies to uncover underlying network structures within financial data. Our key contribution is showing how employing a variety of measures and network analyses can offer diverse insights into financial markets. This approach enhances our understanding of market dynamics and provides a comprehensive framework for examining the intricate web of relationships that underpin the financial market. Keywords: Financial Network Analysis; Statistical Interdependencies; Minimum Spanning Tree; P-value-based Network; Planar Maximally Filtered Graph; Edge-Centric Analysis (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:ecofin:v:75:y:2025:i:pb:s1062940824002419 DOI: 10.1016/j.najef.2024.102316 Access Statistics for this article The North American Journal of Economics and Finance is currently edited by Hamid Beladi More articles in The North American Journal of Economics and Finance from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.