Leveraging AI for accurate private company bankruptcy risk assessment, we were successful in predicting 79% of bankruptcies in 2020 with the PAYCE® score.
Knowledge of how and when to react to a business defaulting is essential; cutting ties with a customer or supplier too soon could lead to a missed sales opportunity, while being too late can result in financial loss.
Leveraging AI for accurate private company bankruptcy risk assessment, we were successful in predicting 77% of bankruptcies in 2019 with the PAYCE® score.
Leveraging AI for accurate private company bankruptcy risk assessment, we were successful in predicting 80% of bankruptcies in the first half of 2020 with the PAYCE® score.
Leveraging AI for accurate private company bankruptcy risk assessment, we were successful in predicting 77% of bankruptcies in 2019 with the PAYCE® score.
Leveraging AI for accurate private company bankruptcy risk assessment, we were successful in predicting 77% of bankruptcies in 2019 with the PAYCE® score.
Over the last three completed calendar years, CreditRiskMonitor's FRISK® score was able to predict U.S. public company bankruptcy at a 96% rate of success.
While risk analysis professionals may be tempted to use the statistical FRISK® score as a component within a different model, such as one that is rules-based, doing so may generate suboptimal results.
Public and private companies need to be proactively evaluated in distinct, different ways by risk management professionals - fortunately, with the FRISK® score and PAYCE® score, CreditRiskMonitor has world-class solutions for both subportfolios.
Read in-depth how crowdsourcing the wisdom of our uniquely positioned subscribers has enabled a significant enhancement of the CreditRiskMonitor FRISK® score, more accurately predicting corporate financial stress.
The FRISK® score is a game-changing tool that combines several key inputs to assess bankruptcy risk. Here’s how credit manager crowdsourcing play a role.