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Centrality of the Supply Chain Network

In: REVIEWS IN MODERN QUANTITATIVE FINANCE

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  • Liuren Wu

Abstract

As the supply chain information becomes more readily accessible, researchers are paying increasing attention to information flows and interactions between suppliers and customers. Shocks to a supplier not only impact its immediate customers but also generate ripple effects on the whole economy through the supply chain network. This chapter strives to define the relative importance, or centrality, of a supplier in the whole supply chain network and understand how the most central suppliers interact with the aggregate economy. Analysis shows that supplier-central companies tend to be more volatile, and their stock performance tends to precede the movements of the aggregate market.

Suggested Citation

  • Liuren Wu, 2024. "Centrality of the Supply Chain Network," World Scientific Book Chapters, in: Andrey Itkin (ed.), REVIEWS IN MODERN QUANTITATIVE FINANCE, chapter 5, pages 209-228, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9789811281747_0005
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    Keywords

    Quantitative Finance; Financial Engineering; Mathematical Finance; Computational Finance; Computational Methods; Computational Problems; Pricing of Securities; Trading; Market Microstructures; Risk Theory; Queuing Theory; Asset Management Technique; Liability Management Technique; Risk Measures; Solvency; Financial Instability; Fintech; Cryptocurrencies; Financial Machine Learning; Artificial Intelligence; Fintech; Quantum Computing; Distributed Ledgers; Econophysics;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C - Mathematical and Quantitative Methods
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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