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The contribution of the intra-firm exposures network to systemic risk

Author

Listed:
  • Landaberry, Victoria
  • Caccioli, Fabio
  • Rodriguez-Martinez, Anahi
  • Baron, Andrea
  • Martinez-Jaramillo, Serafin
  • Lluberas, Rodrigo

Abstract

We propose to use a systemic risk metric for an extended network which includes the inter-bank network, the banks-firms bipartite network, and the intrafirm exposures network in Uruguay. This is the first work, to the best of our knowledge, in which the intra-firm exposures network is estimated with good accuracy by using information from a firm survey. Given that the survey only includes the three most relevant debtors and creditors, we complete the full intra-firm exposures matrix by resorting to Maximum Entropy, Minimum Density and a new method which takes into account the known entries of the matrix obtained from the survey. We show that ignoring intra-firm exposures results in an important underestimation of systemic risk. Moreover, if the marginal liabilities are used as an indicator of the systemic relevance of firms, important network effects are ignored. To conclude, the paper contributes with a precise estimation of the impact of intra-firm exposures to overall systemic risk.

Suggested Citation

  • Landaberry, Victoria & Caccioli, Fabio & Rodriguez-Martinez, Anahi & Baron, Andrea & Martinez-Jaramillo, Serafin & Lluberas, Rodrigo, 2021. "The contribution of the intra-firm exposures network to systemic risk," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(2).
    • Handle: RePEc:eee:lajcba:v:2:y:2021:i:2:s2666143821000120
    DOI: 10.1016/j.latcb.2021.100032
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    Cited by:

    1. Barón, Andrea & Landaberry, María Victoria & Lluberas, Rodrigo & Ponce, Jorge, 2021. "Commercial and banking credit network in Uruguay," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(3).
    2. Yanquen, Eduardo & Livan, Giacomo & Montañez-Enriquez, Ricardo & Martinez-Jaramillo, Serafin, 2022. "Measuring systemic risk for bank credit networks: A multilayer approach," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(2).
    3. Cuba, Walter & Rodriguez-Martinez, Anahi & Chavez, Diego A. & Caccioli, Fabio & Martinez-Jaramillo, Serafin, 2021. "A network characterization of the interbank exposures in Peru," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(3).

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