Poor-Quality Data Top Reason for Incorrect Counterparty Risk Calculations

Data quality continues to be seen as the biggest challenge for firms trying to mitigate counterparty risk, according to poll results from an Inside Reference Data webseminar on counterparty risk.

Thirty-eight percent of participants said poor data quality is the main reason for incorrect counterparty risk assessments. "If the data is wrong, it takes people in a completely wrong direction," said London-based Julia Sutton, director and global head of customer accounts and on-boarding, RBC Capital