Machine Learning
Joseph Simonian, Senior Investment Strategist, Acadian Asset Management | October 09, 2019
Dr. Simonian addresses the types of questions that asset owners should be asking when speaking to managers who claim to use machine learning in their investment process, Watch the highlights of this presentation, you can also request access to the full video.
Dr. Simonian discusses the differences, advantages, and disadvantages of traditional econometrics vs. financial data science.
He is drawing on his own experience with and solutions to common pitfalls in financial data science research.
This presentation was held at the RavenPack Research Symposium in New York on September 10, 2019 .
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.
RavenPack is introducing a multidimensional approach to news analytics that captures the evolving complexity of news, enabling traders to build more dynamic and transparent strategies.
New research using RavenPack Job Analytics to quantify tech adoption in hiring posts proves that companies hiring for novel tech skills outperform peers from an investment perspective.
Our multi-asset allocation strategy based on inflation nowcasts and RavenPack sentiment analytics outperforms the S&P 500 and stabilizes volatility. With real Sharpe ratios of up to 1.25 and a risk control approach, it delivers a compelling inflation hedge for investors.