COVID-19 pandemic risk and probability of loan default: evidence from marketplace lending market

Asror Nigmonov () and Syed Shams
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Asror Nigmonov: University of New South Wales
Syed Shams: University of Southern Queensland

Financial Innovation, 2021, vol. 7, issue 1, 1-28

Abstract: Abstract As the COVID-19 pandemic adversely affects the financial markets, a better understanding of the lending dynamics of a successful marketplace is necessary under the conditions of financial distress. Using the loan book database of Mintos (Latvia) and employing logit regression method, we provide evidence of the pandemic-induced exposure to default risk in the marketplace lending market. Our analysis indicates that the probability of default increases from 0.056 in the pre-pandemic period to 0.079 in the post-pandemic period. COVID-19 pandemic has a significant impact on default risk during May and June of 2020. We also find that the magnitude of the impact of COVID-19 risk is higher for borrowers with lower credit ratings and in countries with low levels of FinTech adoption. Our main findings are robust to sample selection bias allowing for a better understanding of and quantifying risks related to FinTech loans during the pandemic and periods of overall economic distress.

Keywords: Peer-to-peer lending; COVID-19; Coronavirus; Default risk; Marketplace lending; Pandemic; FinTech; Shadow banking (search for similar items in EconPapers)
JEL-codes: E31 E43 G14 G29 O16 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (8)

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DOI: 10.1186/s40854-021-00300-x

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