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What Types of Firms Become Illiquid as a Result of COVID-19? A Firm-Level Perspective Using French Data

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Listed:
  • William Connell Garcia
  • Victor Ho

Abstract

This analysis uses the most recent cross-section of financial statements of French companies from the ORBIS database only as an illustration in order to evaluate their capacity to cushion the COVID-19 shock on sales through previously accumulated cash reserves, operational flexibility and policy intervention. This paper has two main objectives. The first one being to investigate the extent to which the ability to cushion the economic shock is linked to specific company characteristics. The second objective is to evaluate how variation in the parameterisation of the economic shock, i.e. policy intervention and duration of the economic shock, affects the likelihood that specific types of companies become illiquid. We find evidence that both more productive companies and firms with a higher solvency ratio (profits/liabilities) are less likely to become illiquid. This result is robust to the parameterisation of the economic shock. Policy intervention, modelled as additional operational flexibility, alleviates the risk of facing a liquidity shortfall across the board, but does not eliminate it. Finally, using sectoral data from Eurostat, this analysis connects the risk of liquidity shortfalls to specific characteristics of the labour force, finding that the relatively vulnerable sectors are those that rely the most on labour, and whose workforce is relatively young and low-skilled.

Suggested Citation

  • William Connell Garcia & Victor Ho, 2021. "What Types of Firms Become Illiquid as a Result of COVID-19? A Firm-Level Perspective Using French Data," European Economy - Discussion Papers 136, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
  • Handle: RePEc:euf:dispap:136
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    References listed on IDEAS

    as
    1. Mattia Guerini & Lionel Nesta & Xavier Ragot & Stefano Schiavo, 2020. "Dynamique des défaillances d’entreprises en France et crise de la Covid-19," Post-Print hal-03043893, HAL.
    2. Jozef Konings & Alan Patrick Murphy, 2006. "Do Multinational Enterprises Relocate Employment to Low-Wage Regions? Evidence from European Multinationals," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 142(2), pages 267-286, July.
    3. Caballero, Ricardo J & Hammour, Mohamad L, 1994. "The Cleansing Effect of Recessions," American Economic Review, American Economic Association, vol. 84(5), pages 1350-1368, December.
    4. Mai Dao & Chiara Maggi, 2018. "The Rise in Corporate Saving and Cash Holding in Advanced Economies: Aggregate and Firm Level Trends," IMF Working Papers 2018/262, International Monetary Fund.
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    More about this item

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • G30 - Financial Economics - - Corporate Finance and Governance - - - General

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