Journal of Management Information Systems, Vol. 34, No. 2 (2017), pp. 401-424 (24 pages) This study examines the predictive power of self-disclosed social media information on borrowers’ default in ...
Learn how to accurately quantify credit risk with key measures such as probability of default, loss given default, and exposure at default for informed lending.
AI-driven approach – developed by collaboration of SAS, Man Group, Pension Insurance Corporation plc and Stanford University – forecasts corporate credit rating upgrades and downgrades The model flags ...
In light of the interest-rate-risk-driven failure of Silicon Valley Bank on March 10, 2023, we've added a chart showing how interest rate mismatching increases default risk. The calculation applies to ...
Online lending provides a means of fast financing for borrowers based on their creditworthiness. However, borrowers may undermine this agreement due to early repayment or default, which are two major ...
NEW YORK, March 18 (Reuters) - Default expert Edward Altman is teaming with RiskMetrics Group to offer credit ratings on North American companies, responding to a need for better default warnings in ...
Traders use Polymarket to predict outcomes, but the platform itself doesn't predict future events. It measures how the crowd currently estimates probability based on available information, similar to ...
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