We assess the impact of a drought on credit, risk and bank performance in Argentina, using credit registry data at the bank-firm level. We estimate difference-in- difference panel data models to measure whether the drought in 2022-23 had an impact on credit to firms and non-performing loans, controlling for banks and borrowers’ features. We identify borrowers exposed to the shock as companies carrying out activities that suffered most from the drought: producers and exporters of soybean, corn and wheat. Our findings suggest that credit to firms exposed to the drought was 7 p.p. y-o-y lower (at the bank-firm level) and 10 p.p. y-o-y lower than to firms not exposed to the event (in real terms in both cases). Non-performing loans (NPLs) to exposed firms increased close to 8/9 p.p. more than to unaffected firms. When considering a staggered impact of the drought across firms, credit growth was even lower, while NPL increase was comparable. Credit supply appears to have decreased more to firms in sectors affected by the drought (by around 3 p.p.). We control for possible confounding factors: interest rate and foreign exchange regulation; and fiscal measures. We also compare banks which were more or less exposed to affected firms: their credit, liquidity, and NPLs. We find no significant differences in credit and NPLs for banks more exposed to the drought, weighted by credit size. Our results indicate that the drought had significant individual impacts on firms´ credit and ex post risk, but no discernible systemic effect on banks.
The study examined the effect of sectoral credit allocations (agricultural, manufacturing, and
SME) on the liquidity stability of Nigeria’s banking sector, a dimension often overshadowed
by profitability and capital adequacy studies. Using quarterly times series data for a period
of 24 years, (from 2000Q1–2023Q4) obtai...
S. Amana· International Journal of Eco...· 0 citations
This study examines the determinants of banking risk in People’s Credit Banks (Bank Perkreditan Rakyat/BPR) in North Sumatra, Indonesia. The research aims to analyze the influence of macroeconomic variables on banking risk, proxied by total credit disbursement. The study uses panel data from 53 rural banks during 2015–...
Oktavera Rizki, Helvina Sari, Y. Yusrizal et al.· EKONOMIS Journal of Economic...· 0 citations
(1) Background: The aim of this paper is to identify a critical non-performing loans threshold and to examine whether the impact of macroeconomic and bank-specific determinants on bank liquidity differs across credit-risk regimes. (2) Methods: Using annual panel data for EU countries over the period 2007–2022, this stu...
Milica Inđić, Miloš Đaković, N. Milenković et al.· Risks· 0 citations
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