What Is Quantamental Research and Why Is It Important?

TL;DR

Quantamental research combines quantitative and fundamental principles to enhance investment strategies using empirical data. It has gained importance due to disruptions in traditional data sources, with alternative data filling information gaps and driving decision-making in both financial and non-financial sectors.

Transcript

hello I'm your host fep Larry no and with me today is David Paul who is a managing director of quantitative research at SMP global market intelligence he's joining us from Boston today welcome Dave thank you I feel supported her to be with you well you know we at least have met in person here in in Geneva in at least one I think two of the events a... Read More

Key Insights

• 👨‍🔬 Quantumental research combines quantitative and fundamental research, applying modern data science techniques to investment strategies.
• ℹ️ The COVID-19 crisis has accelerated the demand for alternative data, which can provide more timely and granular information compared to traditional data sources.
• 📼 The usage of alternative data is expanding beyond the asset management industry to non-financial corporates and even government entities.
• 🪪 Subject matter expertise is crucial in quantitative analysis to ensure the interpretation of data and the identification of meaningful relationships.
• 😫 The marketplace for alternative data sets offers linked content sets that enable easier analysis and decision-making for clients.
• 🦶 Foot traffic data has become particularly valuable in understanding market dynamics and the reopening of businesses amid the pandemic.
• 👻 Transparency and repeatability are crucial in quantitative analysis, allowing for validation and reproducibility of research findings.

Questions & Answers

Q: What is quantumental research and how does it combine quantitative and fundamental research?

Quantumental research integrates quantitative analysis and fundamental principles, applying modern data science techniques to test and refine investment strategies based on empirical evidence.

Q: How has the usage of alternative data changed in research during the COVID-19 crisis?

The COVID-19 crisis has disrupted traditional data sources, leading to a greater reliance on alternative data, which is often more timely and granular. Alternative data, such as foot traffic data, has become crucial in understanding market trends in real-time.

Q: Is the spike in demand for alternative data expected to continue even after the normalization of the current situation?

Yes, the demand for alternative data is expected to continue and even broaden beyond the asset management industry. Non-financial corporates are increasingly using alternative data for competitive intelligence and operational decision-making.

Q: How does subject matter expertise play a role in quantitative analysis and data science?

Subject matter expertise is essential in identifying and interpreting meaningful relationships within data. While algorithms can analyze data, human expertise is needed to separate spurious relationships from true insights and to guide hypothesis construction.

Summary & Key Takeaways

• Quantumental research combines quantitative and fundamental research to test and apply investment strategies using empirical data.

• Alternative data, such as foot traffic data and natural language processing of earnings call transcripts, has become increasingly important in filling the information gap caused by disruptions in traditional data sources.

• The demand for alternative data is growing not just in the asset management industry, but also among non-financial corporates and government entities.