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Record
Title
Corporate default prediction: a comparison between Merton model and random forest in an environment of data scarcity
Type
Student Paper
Publ. year
2022
Author/s
Díaz García, Aitor; Mirosnikovs, Matiss
Department/s
Department of Economics
In LUP since
2022-10-10
Downloads

Total This Year This Month
404 169 0
Downloads per country

United States of America 75 (19%)
Denmark 57 (14%)
Sweden 45 (11%)
Netherlands (Kingdom of the) 25 (6%)
France 19 (5%)
Germany 19 (5%)
Italy 12 (3%)
China 11 (3%)
Malaysia 11 (3%)
Latvia 10 (3%)
Unknown 10 (3%)
United Kingdom of Great Britain and Northern Ireland 9 (2%)
India 6 (2%)
Japan 5 (1%)
Spain 5 (1%)
Hong Kong (China) 5 (1%)
Pakistan 5 (1%)
Egypt 4 (1%)
Mexico 4 (1%)
Switzerland 4 (1%)
Poland 4 (1%)
Singapore 4 (1%)
Thailand 4 (1%)
South Africa 3 (1%)
Romania 3 (1%)
South Korea 3 (1%)
Norway 3 (1%)
Kenya 2 (1%)
Taiwan (China) 2 (1%)
Finland 2 (1%)
Belgium 2 (1%)
Viet Nam 2 (1%)
Bangladesh 2 (1%)
Iran 2 (1%)
Estonia 2 (1%)
Indonesia 2 (1%)
Canada 2 (1%)
Chile 2 (1%)
Luxembourg 2 (1%)
Lithuania 1 (0%)
Austria 1 (0%)
Senegal 1 (0%)
Iraq 1 (0%)
Colombia 1 (0%)
Greece 1 (0%)
About
The download statistics shown here have been collected since the launch of LUP in October 2007 and are updated every night. Statistics are available for all records with open access fulltexts. Efforts have been made to exclude downloads by robots and track irregular download activities.

About accessibility

Disclaimer
The information on downloads per country is based on the geolocation of IP addresses and may not be completely accurate. The statistics presented here may also change retroactively when the calculation process is improved to provide more accurate results.

Statistics Last Updated
Mon Dec 29 08:26:16 2025