Michel Alexandre , Thiago Christiano Silva , Benjamin Miranda Tabak
{"title":"The labor market channel of systemic risk","authors":"Michel Alexandre , Thiago Christiano Silva , Benjamin Miranda Tabak","doi":"10.1016/j.jedc.2024.104976","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, we explore the labor market channel of systemic risk. We consider that distressed firms, besides defaulting on part of their debt commitments, also react to negative shocks by laying off part of their employees. This constitutes another source of systemic risk, as we assume that laid-off employees will default on their debt commitments. Using Brazilian data, we compute the systemic risk considering three possible strategies distressed firms can adopt: layoff of employees, default on debt commitments, or both strategies. Our findings highlight the importance of the labor market channel. It has contributed noticeably more to overall systemic risk during the study's assessment period (2015–2020). Moreover, the shock multiplier of the employees' layer is higher than that of the firms' layer. We also assess, through machine learning techniques, the determinants of firms' systemic impact under different layer configurations–that is, when the bank-firm layer is composed of the corporate loans extended to the firms, and when this is composed of the loans extended to the firms' employees. This study emphasizes the crucial role that the labor market plays in determining systemic risk dynamics and calls for improved risk management practices to address these issues effectively.</div></div>","PeriodicalId":48314,"journal":{"name":"Journal of Economic Dynamics & Control","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Economic Dynamics & Control","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165188924001684","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we explore the labor market channel of systemic risk. We consider that distressed firms, besides defaulting on part of their debt commitments, also react to negative shocks by laying off part of their employees. This constitutes another source of systemic risk, as we assume that laid-off employees will default on their debt commitments. Using Brazilian data, we compute the systemic risk considering three possible strategies distressed firms can adopt: layoff of employees, default on debt commitments, or both strategies. Our findings highlight the importance of the labor market channel. It has contributed noticeably more to overall systemic risk during the study's assessment period (2015–2020). Moreover, the shock multiplier of the employees' layer is higher than that of the firms' layer. We also assess, through machine learning techniques, the determinants of firms' systemic impact under different layer configurations–that is, when the bank-firm layer is composed of the corporate loans extended to the firms, and when this is composed of the loans extended to the firms' employees. This study emphasizes the crucial role that the labor market plays in determining systemic risk dynamics and calls for improved risk management practices to address these issues effectively.
期刊介绍:
The journal provides an outlet for publication of research concerning all theoretical and empirical aspects of economic dynamics and control as well as the development and use of computational methods in economics and finance. Contributions regarding computational methods may include, but are not restricted to, artificial intelligence, databases, decision support systems, genetic algorithms, modelling languages, neural networks, numerical algorithms for optimization, control and equilibria, parallel computing and qualitative reasoning.