A multifaceted graph-wise network analysis of sector-based financial instruments’ price-based discrepancies with diverse statistical interdependencies

IF 3.9 3区 经济学 Q1 BUSINESS, FINANCE North American Journal of Economics and Finance Pub Date : 2024-11-22 DOI:10.1016/j.najef.2024.102316
Insu Choi, Woo Chang Kim
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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.
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基于部门的金融工具的价格差异与不同的统计相互依赖关系的多方面图形明智的网络分析
我们探讨了金融网络中的差异,重点是基于行业的交易所交易基金,通过使用统计措施来验证相互依赖性的深入分析。通过采用最小生成树、平均关联最小生成树、基于p值的网络和平面最大过滤图等方法,我们研究了基于价格的差异,以揭示金融数据中潜在的网络结构。我们的主要贡献是展示了如何采用各种措施和网络分析可以为金融市场提供不同的见解。这种方法增强了我们对市场动态的理解,并为研究支撑金融市场的错综复杂的关系网提供了一个全面的框架。
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来源期刊
CiteScore
7.30
自引率
8.30%
发文量
168
期刊介绍: The focus of the North-American Journal of Economics and Finance is on the economics of integration of goods, services, financial markets, at both regional and global levels with the role of economic policy in that process playing an important role. Both theoretical and empirical papers are welcome. Empirical and policy-related papers that rely on data and the experiences of countries outside North America are also welcome. Papers should offer concrete lessons about the ongoing process of globalization, or policy implications about how governments, domestic or international institutions, can improve the coordination of their activities. Empirical analysis should be capable of replication. Authors of accepted papers will be encouraged to supply data and computer programs.
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