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Roll rates and net flow rates can be seen as the evolution of ageing of accounts receivable and Markov chains. They are accepted methodologies to model the behavior of non-performing consumer loans by buckets and to predict losses, but we find that quite often they are wrongly used as...
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This study explores whether financial literacy can enhance the ability to predict credit default by farmers using … literacy as a predictor of credit default. … machine-learning models. It introduces a hybrid model combining k-means clustering and Adaboost to predict loan default using …
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default rate and loss given default of bank loans share a cyclical component, related to the business cycle. We infer this … cycle by a new model that distinguishes loans with large and small losses, and links them to the default rate and macro …
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We propose an econometric model for predicting the share of bank debt held by bankrupt firms by combining a novel set of firm-level financial variables and macroeconomic indicators. Our firm-level data include payment remarks in the form of debt collections from private agencies and attachments...
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