Asset management Insights
Quant research and data science
As digital transformation advances in the investment industry, demand for data to power investment processes continues to intensify at a rapid pace.
Access our data to help you unearth interesting research and articles as well as highlight trends emerging around unstructured and alternative data. Identify previously unconsidered datasets to add to your research and models.
Our research is based on Refinitiv content sets which power the investment processes at many of the world’s most sophisticated hedge funds and asset management firms.
Explore our quant research insights based on our full range of high-quality standard and specialised content.
How can NLP be used to quantify ESG analytics?
Richard Peterson, CEO of MarketPsych, explores how natural language processing (NLP) can be used to generate ESG data.
The true value of ESG data
How news sentiment data boosts trading and investment strategies
What is alternative data?
Roger Hirst is joined by various guests to discuss what alternative data is and how it is being used in the financial industry and more broadly today.
How to integrate ESG in quantitative strategies: your 2021 roadmap
How can you use ESG data to fuel your quantitative research? There are ways to break through the noise and design alpha-generating strategies - despite the ever-changing ESG data methodologies.
Python Quants Tutorial 1 - Getting Started on Windows
Kicking off with the basics, we focus on getting started with Windows OS and cover installation, configuration and first steps.
Exploring 4 ESG Trends Accelerated By The Pandemic
What are the 4 key trends that were accelerated by the COVID-19 crisis? Tune into our interview with Guillaume Mascotto, Vice President, Head of ESG & Investment Stewardship at American Century Investments, to find out.
The role of intermediaries in the alt data ecosystem
Alt data intermediaries help scale and make an increasingly complex and crowded alt data space more manageable – for data sources, providers and customers alike.
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