Footnote:
Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments June 15, 2021 erstellt
Description:
Using bank administrative data on entrepreneurs’ personal and business activities, we show that an entrepreneur’s personal behaviors, which are revealed from personal consumption, finance, and credit activities, can well predict the future credit outcome of her business. Utilizing advanced machine learning methods, we find the predictive power of entrepreneur personal behaviors significantly outperform the firm-specific characteristics. By incorporating entrepreneur personal features into credit assessment, lenders can reduce the predicted default rate of small business borrowers by about half. Our finding sheds light on the informational value of entrepreneur personal traits to creditors and investors