供应链与关联

IF 1.1 4区 经济学 Q3 BUSINESS, FINANCE Journal of Portfolio Management Pub Date : 2022-11-23 DOI:10.3905/jpm.2022.1.440
F. Abergel, Adrien Akar
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引用次数: 1

摘要

本文对供应链网络及其对股票收益相关结构的影响进行了深入的大规模分析。作者表明,通过供应链网络连接的公司的股票收益表现出与随机股票对显著不同的相关性结构。这种效应既适用于直接连接的公司,也适用于通过共同第三方连接的公司。从风险建模的角度来看,使用聚类方法产生一些有趣的、更容易利用的结果。作者还对罕见的负面事件进行了分析,强调了一些领先-滞后关系。
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Supply Chain and Correlations
This article is an in-depth large-scale analysis of the supply chain network and its bearing on the correlation structure of stock returns. The authors show that the stock returns of companies that are connected through the supply chain network exhibit a correlation structure that differs significantly from that of random pairs of stocks. This effect is observed for companies that are connected directly as well as through a common third party. A clustering approach is used to yield some interesting easier-to-exploit results with a view toward risk modeling. The authors also perform an analysis of rare negative events, highlighting some lead-lag relationships.
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来源期刊
Journal of Portfolio Management
Journal of Portfolio Management Economics, Econometrics and Finance-Finance
CiteScore
2.20
自引率
28.60%
发文量
113
期刊介绍: Founded by Peter Bernstein in 1974, The Journal of Portfolio Management (JPM) is the definitive source of thought-provoking analysis and practical techniques in institutional investing. It offers cutting-edge research on asset allocation, performance measurement, market trends, risk management, portfolio optimization, and more. Each quarterly issue of JPM features articles by the most renowned researchers and practitioners—including Nobel laureates—whose works define modern portfolio theory.
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