Industry Events
October 04, 2017
This is a must-attend event for quantitative analysts and researchers in industry and academia.
The main objective of BigDataFinance is to meet the increasing commercial demand for well-trained researchers with experience in both big data techniques and finance, by bridging the gap between research methodologies in both disciplines. The conference took place at the London School of Economics.
Peter Hafez , our Chief Data Scientist speaks on the topic of "Exploiting Alternative Data in the Investment Process".
The emergence of big data in finance has shifted the alpha focus away from being faster to being smarter and more efficient than the competition. Access to alternative data sources is considered a key input to such a process. During his talk, Peter Hafez provided an overview of the changing investment landscape. He also covered some of his team's latest research in the space.
You can see the full conference agenda here , and download Peter's presentation below .
When : October 4-5, 2017
Where London School of Economics Bankside House Auditorium
Please use your business email. If you don't have one, please email us at info@ravenpack.com.
We will process your personal data with the purpose of managing your personal account on RavenPack and offering our services. You can exercise your rights of access, rectification, erasure, restriction of processing, data portability and objection by emailing us at privacy@ravenpack.com. For more information, you can check out our Privacy Policy.
Your request has been recorded and a team member will be in touch soon.
High inflation has returned in developed markets after decades of lying low. In our latest paper, we show how to build an inflation-based asset allocation strategy using sentiment data and we illustrate that sentiment-based strategies outperform models that depend merely on past observed inflation values.
This year's RavenPack Research Symposium brought two intense days of knowledge sharing in London and New York, from 25 top experts in natural language processing, quantitative investing and machine learning. Together, we explored how firms can leverage new language models to generate alpha, better manage risk and respond to calls for more sustainable investment practices.
Human capital is at the heart of value creation. Our latest research demonstrates how unprecedented workforce insights, sourced from over 200 million job postings, can generate more alpha.