BIS committee finds inadequacies in derivatives data
Challenges remain, despite significant progress, Irving Fisher Committee reports
The quality of big data on derivatives transactions is insufficient, and there are opportunities for greater integration of artificial intelligence and machine learning, a new survey by the Basel-based Irving Fisher Committee finds.
Central banks have to make “substantial efforts” to conduct “extensive quality checks” on the data they receive, the IFC says. This is the case for 80% of respondents.
The survey, completed by 50 central banks over the past year, was designed to shed light on the
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