Opinion Dynamics and Disagreements on Financial Networks

Q2 Decision Sciences
M. McAleer
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引用次数: 1

Abstract

We propose a new measure of disagreement based on connectedness, which generalizes the disagreement index introduced in Billio et al. (2018). Building on the lifting approach in Hendrickx (2014), we extend Billio et al. (2018) to signed networks, which allows us to consider more general consensus dynamics and disagreement with antagonistic behaviour. Synthetic and real-world financial networks of serial correlation are considered for illustrating the new measure and for studying opinion dynamics and convergence to consensus on prices for financial assets.
金融网络的舆论动态与分歧
我们提出了一种基于连通性的分歧衡量方法,该方法推广了Billio等人(2018)中引入的分歧指数。在Hendrickx(2014)的提升方法的基础上,我们将Billio等人(2018)扩展到签名网络,这使我们能够考虑更普遍的共识动态和对抗行为的分歧。本文考虑了序列相关的合成和现实世界金融网络,以说明新的衡量标准,并研究意见动态和金融资产价格共识的趋同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advances in Decision Sciences
Advances in Decision Sciences Mathematics-Applied Mathematics
CiteScore
4.70
自引率
0.00%
发文量
18
审稿时长
29 weeks
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