重叠投资组合网络的拓扑结构

IF 1.3 Q2 STATISTICS & PROBABILITY
Weilong Guo, Andreea Minca, Li Wang
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引用次数: 43

摘要

摘要本文分析了共同资产持有网络的拓扑结构,其中节点代表管理的投资组合,边缘权重捕获清算的影响。资产持有数据是从13F文件中提取的。我们认为程度中心性是弱环节子网络中的程度,其中弱环节是那些导致重大清算的环节。我们探索了这种网络表示在聚类和预测中的应用。为了验证权重归因和用于定义薄弱环节的阈值,我们表明中心性程度与超额收益相关,并且在我们控制了Carhart四个因素后显着。薄弱环节网络具有无标度结构,类似于资产负债表敞口的金融网络。此外,少数紧密相连的集群集中了相当大比例的投资组合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The topology of overlapping portfolio networks
Abstract This paper analyzes the topology of the network of common asset holdings, where nodes represent managed portfolios and edge weights capture the impact of liquidations. Asset holdings data is extracted from the 13F filings. We consider the degree centrality as the degree in the subnetwork of weak links, where weak links are those that lead to significant liquidations. We explore the applications of this network representation to clustering and forecasting. To validate the weight attribution and the threshold used to define the weak links, we show that the degree centrality is correlated with excess returns, and is significant after we control for the Carhart four factors. The network of weak links has a scale free structure, similar to financial networks of balance sheet exposures. Moreover, a small number of clusters, densely linked, concentrate a significant proportion of the portfolios.
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来源期刊
Statistics & Risk Modeling
Statistics & Risk Modeling STATISTICS & PROBABILITY-
CiteScore
1.80
自引率
6.70%
发文量
6
期刊介绍: Statistics & Risk Modeling (STRM) aims at covering modern methods of statistics and probabilistic modeling, and their applications to risk management in finance, insurance and related areas. The journal also welcomes articles related to nonparametric statistical methods and stochastic processes. Papers on innovative applications of statistical modeling and inference in risk management are also encouraged. Topics Statistical analysis for models in finance and insurance Credit-, market- and operational risk models Models for systemic risk Risk management Nonparametric statistical inference Statistical analysis of stochastic processes Stochastics in finance and insurance Decision making under uncertainty.
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