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Wellington Management uses data analytics — including machine learning techniques — internally to help identify and mitigate behavioral biases in its portfolio managers' investment decision-making.

Details

Wellington's Investment Science Group, which has grown to over 68 specialists in data science, trading, and quantitative investing, applies scientific techniques to 'developing professional investors,' which the firm describes as including uncovering and mitigating the downside of behavioral biases. The group works alongside portfolio management teams both temporarily and permanently, with the stated goal of preserving the art of investing while bringing in computing capabilities. This practice involves analyzing patterns in portfolio managers' buy and sell decisions.

Products affected

Investment Science Group internal tools

Sources & Evidence

News Article

At Wellington, Portfolio Managers Also Code

Institutional Investor·Jan 2022

https://www.institutionalinvestor.com/article/2bswlvepw2hmeza37bnr4/portfolio/at-wellington-portfolio-managers-also-code

Other practices by Wellington Management

Data AnalysisWellington Management uses AI-powered alternative data dashboards that give approximately 200 members of its investment teams access to non-traditional data sets — such as credit card spending and job opening figures — to help anticipate company growth trends and consumer patterns.Data AnalysisWellington Management uses internal AI tools that allow portfolio managers and analysts to query the firm's entire research archive, earnings call transcripts, and public commentary, returning detailed answers to specific investment questions in hours rather than days.ProductivityWellington Management integrated Microsoft Copilot, giving all staff access to generative AI capabilities — including question answering, summarization, content drafting, and content editing — through Microsoft Office tools.

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