Many-to-one contagion of economic growth rate across trade credit network of firms
Natasa Golo, Guy Kelman, David S. Bree, Leanne Usher, Marco Lamieri, and Sorin Solomon

TL;DR
This study empirically tests the hypothesis of 'many-to-one' contagion of growth rates in a trade credit network of firms, finding limited evidence of contagion but noting a strong macroeconomic impact during the crisis.
Contribution
It introduces a novel empirical approach to measure direct contagion effects in trade credit networks and applies it to real data from Italian firms during 2007.
Findings
Limited contagion observed in the network
Strong macroeconomic effects during the crisis
Correlation between predicted and actual growth is weak
Abstract
We propose a novel approach and an empirical procedure to test direct contagion of growth rate in a trade credit network of firms. Our hypotheses are that the use of trade credit contributes to contagion (from many customers to a single supplier - "many to one" contagion) and amplification (through their interaction with the macrocopic variables, such as interest rate) of growth rate. In this paper we test the contagion hypothesis, measuring empirically the mesoscopic "many-to-one" effect. The effect of amplification has been dealt with in another paper. Our empirical analysis is based on the delayed payments between trading partners across many different industrial sectors, intermediated by a large Italian bank during the year 2007. The data is used to create a weighted and directed trade credit network. Assuming that the linkages are static, we look at the dynamics of the…
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Taxonomy
TopicsWorking Capital and Financial Performance · Firm Innovation and Growth · Corporate Finance and Governance
