Assessment of the banking sector's exposure to hydrometeorological events in Costa Rica

This study examines, for the first time, the exposure of the credit portfolio of the banking system in Costa Rica to hydrometeorological events, specifically excess rainfall events, with a focus on firm credit at the canton level. We propose a credit risk indicator to identify cantons with credit portfolios that are more affected by rainfall events. Moreover, we introduce a novel approach with respect to firm level data to assign a single productive location to firms with two or more establishments. We find that cantons with the highest number of excess rainfall events represent a small share of the average credit balance of the country. Furthermore, we observe that the top three cantons with the highest credit risk score are driven by economic activities that are not expected to be notably vulnerable to extreme rainfall.

Authors

Institutions

Publication Details

Journal
Latin American Journal of Central Banking
Published
2024-10-04
DOI
https://doi.org/10.1016/j.latcb.2024.100155
Primary Topic
Insurance and Financial Risk Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of the banking sector's exposure to hydrometeorological events in Costa Rica

Irene Alvarado-Quesada, Jose Pablo Barquero-Romero, Cristian Sancho-Brenes
Latin American Journal of Central Banking
Insurance and Financial Risk Management
article

Assessment of the banking sector's exposure to hydrometeorological events in Costa Rica

Irene Alvarado-Quesada, Jose Pablo Barquero-Romero, Cristian Sancho-Brenes
article en

Abstract

This study examines, for the first time, the exposure of the credit portfolio of the banking system in Costa Rica to hydrometeorological events, specifically excess rainfall events, with a focus on firm credit at the canton level. We propose a credit risk indicator to identify cantons with credit portfolios that are more affected by rainfall events. Moreover, we introduce a novel approach with respect to firm level data to assign a single productive location to firms with two or more establishments. We find that cantons with the highest number of excess rainfall events represent a small share of the average credit balance of the country. Furthermore, we observe that the top three cantons with the highest credit risk score are driven by economic activities that are not expected to be notably vulnerable to extreme rainfall.

Latin American Journal of Central BankingVol. 6(3)
Universidad de Costa Rica (CR)
Openalex Percentile: Top 79%
Insurance and Financial Risk Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.