Firms in developing economies face rising insolvency risk due to the interaction of structural financial constraints and increasing exposure to climate-related physical hazards. This study develops and empirically evaluates a framework for climate-adjusted credit risk and bankruptcy prediction using firm-level balance-sheet data from the World Bank Enterprise Survey. New firm-level datasets are constructed, including output volatility estimates based on value-added growth, baseline and climate-adjusted liability-based probabilities of default, and forward-looking default projections under Shared Socioeconomic Pathways from the IPCC Sixth Assessment Report. Asset values for unlisted firms are reconstructed using a production-based framework, while firm-level volatility is estimated from the dispersion of value-added growth across country-firm size groups. Liability-based probabilities of default are computed using a structural default model and adjusted for climate physical risk through firm-level exposure to expected annual impacts of climate. These climate-adjusted default measures are then linked to observable financial ratios through a fractional logit Altman-style bankruptcy model that incorporates country, sector, and firm-size heterogeneity. The results reveal substantial cross-regional and size-based variation in climate-induced insolvency risk and show that the effects of firm financial conditions on default risk vary across firm sizes and regional contexts. These findings contribute to the climate-finance literature by providing new data, an integrated modelling framework, and a policy-relevant approach to climate-aware credit risk assessment for unlisted firms in developing economies.

Climate-adjusted credit risk and bankruptcy prediction models across firm size categories in developing countries: evidence from firm-level balance sheet data

Uba Matthew Ndubuisi
In corso di stampa

Abstract

Firms in developing economies face rising insolvency risk due to the interaction of structural financial constraints and increasing exposure to climate-related physical hazards. This study develops and empirically evaluates a framework for climate-adjusted credit risk and bankruptcy prediction using firm-level balance-sheet data from the World Bank Enterprise Survey. New firm-level datasets are constructed, including output volatility estimates based on value-added growth, baseline and climate-adjusted liability-based probabilities of default, and forward-looking default projections under Shared Socioeconomic Pathways from the IPCC Sixth Assessment Report. Asset values for unlisted firms are reconstructed using a production-based framework, while firm-level volatility is estimated from the dispersion of value-added growth across country-firm size groups. Liability-based probabilities of default are computed using a structural default model and adjusted for climate physical risk through firm-level exposure to expected annual impacts of climate. These climate-adjusted default measures are then linked to observable financial ratios through a fractional logit Altman-style bankruptcy model that incorporates country, sector, and firm-size heterogeneity. The results reveal substantial cross-regional and size-based variation in climate-induced insolvency risk and show that the effects of firm financial conditions on default risk vary across firm sizes and regional contexts. These findings contribute to the climate-finance literature by providing new data, an integrated modelling framework, and a policy-relevant approach to climate-aware credit risk assessment for unlisted firms in developing economies.
In corso di stampa
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10278/5117429
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