Ping An Uses Artificial Intelligence to Drive New ESG Investment Strategies
The investment strategies detailed in the report, "Applications of Ping An CN-ESG Data and Framework in Quantitative Investment Strategy", use the proprietary CN-ESG database and scoring framework developed by the Ping An Group.
- The investment strategies detailed in the report, "Applications of Ping An CN-ESG Data and Framework in Quantitative Investment Strategy", use the proprietary CN-ESG database and scoring framework developed by the Ping An Group.
- Based on CN-ESG data, PADERC constructed four types of ESG investment strategies that use artificial intelligence (AI) to balance excess investment returns and ESG investment targets:
1) Ping An AI-ESG Selected 100 Strategy: This positive screening strategy selects companies with the highest ESG scores. - The CSI 300 ESG Low Volatility Index reinforces the stability features of ESG investment in both the short and long term.
- This type of index enhancement strategy based on ESG factors could help drive an increase in the scale of ESG investing.