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Relationship Networks in Banking Around a Sovereign Default and Currency Crisis

Author

Listed:
  • Pablo D’Erasmo

    (Federal Reserve Bank of Philadelphia)

  • Hernán Moscoso Boedo

    (University of Cincinnati)

  • Maria Olivero

    (Drexel University)

  • Máximo Sangiácomo

    (Banco Central de la República Argentina)

Abstract

We study how banks' exposure to a sovereign default and a sharp currency devaluation gets transmitted onto the corporate non-financial sector. To do so we use a proprietary data set for the universe of banks and firms in Argentina during the crisis of 2001. We proceed in three steps. First, we exploit the variation in the data at the bank-level to show that there is a negative correlation between banks' pre-crisis exposure to sovereign debt and foreign currency liabilities and their post-crisis lending. Second, we build a model characterized by matching frictions in which firms establish (long-term) relationships with banks that are subject to balance sheet disruptions and derive a set of testable implications. Credit relationships with banks more exposed to the crisis suffer the most (independent of the state of the borrower). However, this relationship level effect might overstate the true cost of the crisis. After the shock, firms with investment opportunities (e.g. exporters after a devaluation) might find profitable to switch lenders, reducing the negative impact on overall credit and activity. Finally, we use linked bank-firm data and data aggregated to the firm level to test the predictions of the model. We find evidence largely consistent with our theory.

Suggested Citation

  • Pablo D’Erasmo & Hernán Moscoso Boedo & Maria Olivero & Máximo Sangiácomo, 2019. "Relationship Networks in Banking Around a Sovereign Default and Currency Crisis," School of Economics Working Paper Series 2019-2, LeBow College of Business, Drexel University.
  • Handle: RePEc:ris:drxlwp:2019_002
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    Cited by:

    1. is not listed on IDEAS
    2. Deborah Noguera & Gabriel Montes-Rojas, 2023. "Minskyan model with credit rationing in a network economy," SN Business & Economics, Springer, vol. 3(3), pages 1-26, March.
    3. Deng, Minjie & Liu, Chang, 2024. "Sovereign risk and intangible investment," Journal of International Economics, Elsevier, vol. 152(C).
    4. Gomez-Gonzalez, Jose E. & Uribe, Jorge M. & Valencia, Oscar M. & Kim, Bum, 2025. "Doom loops in Latin America," Emerging Markets Review, Elsevier, vol. 68(C).
    5. Deborah Noguera & Gabriel Montes-Rojas, 2022. "Credit-constrained fluctuations and uncertainty in a network economy," Ensayos Económicos, Central Bank of Argentina, Economic Research Department, vol. 1(80), pages 5-52, November.

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    Keywords

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    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • H63 - Public Economics - - National Budget, Deficit, and Debt - - - Debt; Debt Management; Sovereign Debt
    • N26 - Economic History - - Financial Markets and Institutions - - - Latin America; Caribbean

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