Artificial intelligence and machine learning are contributing increasingly to the process of identifying stock investment opportunities and managing portfolio risk, particularly when it comes to quantitative equity strategies that use mathematical models, algorithms and vast datasets to identify and capture the best ideas. Ram Rasaratnam, CIO for Quant Equity Strategies at AXA IM Core, part of BNP Paribas Asset Management, tells Chris Iggo, Chief Investment Officer, AXA IM Core, that AI and machine learning are revolutionising how researchers improve the models that support the firm’s analysis of a potential investee stock’s valuation, quality and future earnings trajectory.

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