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Evidential strategies in financial statement analysis$sa corpus linguistic text mining approach to bankruptcy prediction

Nießner, Tobias; Gross, Daniel H.; Schumann, Matthias - In: Journal of Risk and Financial Management 15 (2022) 10, pp. 1-15

The qualitative information of companies' financial statements provides useful information that can increase the accuracy of bankruptcy prediction models. In this research, a dataset of 924,903 financial statements from 355,704 German companies classified into solvent, financially distressed,...

Persistent link: https://www.econbiz.de/10014332658

Usage of pre-made text-modules and peer-groups for mitigating information asymmetry in social lending : evidence on funding success from German platform Smava

Frerichs, Arne; Michaelis, Christian; Wienekamp, Marco; … - In: International journal of e-business research : an … 9 (2013) 3, pp. 1-26

Persistent link: https://www.econbiz.de/10010196195

Evidential strategies in financial statement analysis : a corpus linguistic text mining approach to bankruptcy prediction

Nießner, Tobias; Gross, Daniel H.; Schumann, Matthias - In: Journal of risk and financial management : JRFM 15 (2022) 10, pp. 1-15

The qualitative information of companies’ financial statements provides useful information that can increase the accuracy of bankruptcy prediction models. In this research, a dataset of 924,903 financial statements from 355,704 German companies classified into solvent, financially distressed,...

Persistent link: https://www.econbiz.de/10013471230