Tunnelling when regulation is lax: the Colombian banking crisis of the 1980s

Carlos Eduardo Hernández et al.

Revista de Historia Economica - Journal of Iberian and Latin American Economic History2025https://doi.org/10.1017/s0212610925000072article
AJG 1
Weight
0.37

What the paper says

We study the resilience of banks to macroeconomic slowdowns in a context of lax microprudential regulations: Colombia during the Latin American debt crisis of the 1980s. We find that numerous banks underperformed during the crisis, as their shareholders and board members tunnelled resources through related lending, loan concentration and accounting fraud. These practices were enabled by power concentration within banks, lax regulation and the expectation of bailouts. We provide evidence for this tunnelling mechanism by comparing the local banks and business groups that failed during the crisis, the local banks and business groups that survived the crisis and the former foreign banks – all of which survived the crisis. The regulatory changes enacted during the crisis also lend support to our proposed mechanism.

1 citation

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1017/s0212610925000072

Or copy a formatted citation

@article{carlos2025,
  title        = {{Tunnelling when regulation is lax: the Colombian banking crisis of the 1980s}},
  author       = {Carlos Eduardo Hernández et al.},
  journal      = {Revista de Historia Economica - Journal of Iberian and Latin American Economic History},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1017/s0212610925000072},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Tunnelling when regulation is lax: the Colombian banking crisis of the 1980s

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.