As the likelihood of an economic downturn continues to intensify, public companies across cyclical industries like trucking should be monitored closely.
As the fallout from one of the biggest bankruptcies of 2019 begins to settle, we see that credit and procurement professionals who evaluate risk in public companies as a habitual practice are proving to be the best at avoiding unnecessary exposure.
Instead of looking into the past with payment history to gauge danger potential in counterparties, you need to be looking forward with CreditRiskMonitor’s predictive financial risk analytics.
Leveraging AI for accurate private company bankruptcy risk assessment, we have been successful in predicting 70% of bankruptcies thus far in 2019 (Q1 through Q3) with the PAYCE® score.
Transportation and freight leader YRC Worldwide Inc. has delivered prompt payment to its customers without fail - but wise financial risk evaluators know that payment data doesn't predict future behavior from public companies.
Public company financial risk is higher than it has ever been, and the weakest links in your supply chain may lead to costly, time-consuming problems.
Leveraging AI for accurate private company bankruptcy risk assessment, we were successful in predicting 70% of bankruptcies thus far in 2019 with the PAYCE® score.
CreditRiskMonitor currently estimates that financial losses stemming from U.S. public company bankruptcies alone will be in excess of $1.1 trillion, a greater figure than what was lost during the Great Recession.
The global economy appears to have deteriorated in a significant way during 2019 given the trends in negative yielding debt.
Just like tariffs, supplier financial risk has become an important category to monitor by company procurement departments. If this isn't on your radar today, it should be.
The helicopter industry has seen three major bankruptcies in the last few years. Could we see a fourth? Unsecured creditors should take heed.
Over the last two completed calendar years, CreditRiskMonitor's FRISK® score was able to predict U.S. public company bankruptcy at a near 98% rate of success.