Default Probability Forecasting
Default Probability Forecasting is a financial forecasting method that quantifies the likelihood of a borrower failing to meet debt obligations within a specified time horizon, distinguished from other credit risk models by its focus on predictive accuracy and temporal dynamics of default events.
104
Publications
6.7K
Citations
247
Authors
150
Institutions
Publications per year
2017–2026
37
Parents
104
Forecasting Default with the KMV-Merton Model
Sreedhar T. Bharath, Tyler Shumway · SSRN Electronic Journal · 2004 · 231 citations · Full text
Predicting and Deterring Default with Social Media Information in Peer-to-Peer Lending
Ruyi Ge, Juan Feng, Bin Gu et al. · Journal of Management Information Systems · 2017 · 231 citations
Social Sciences, Finance, Marketing +17
An anatomy of rating through the cycle
Günter Löffler · Journal of Banking & Finance · 2003 · 227 citations
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150

University of Vaasa
Vaasa, Finland
4 h-index
6 publications
345 citations
University of Michigan
Ann Arbor, United States
3 h-index
4 publications
4.9K citations
Ross School
East Hampton, United States
3 h-index
4 publications
4.9K citations
Arizona State University
Tempe, United States
2 h-index
2 publications
433 citations
London School of Economics and Political Science
London, United Kingdom
2 h-index
2 publications
65 citations
Nature Inspires Creativity Engineers Lab
Nice, France
2 h-index
2 publications
105 citations
Iscte – Instituto Universitário de Lisboa
Lisbon, Portugal
2 h-index
3 publications
72 citations
Sungkyunkwan University
Seoul, South Korea
2 h-index
2 publications
22 citations
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Repository · 16 publications · 788 citations
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4 publications · 84 citations
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3 publications · 52 citations
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3 publications · 192 citations
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2 publications · 208 citations
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