Brokers' take

Singapore Banks | Positive (maintained) Maybank Kim Eng, Sept 11

For banking cycles after the global financial crisis, we have trained Maybank Kim Eng's proprietary machine learning algorithms to identify the key variables that affect Singapore banks' non-performing loans (NPLs).

From our analysis, it appears that the pace of non-Singdollar loan growth, domestic inflation and the rate of change in special-mention loans have the strongest influence in setting the direction of NPLs.