Asset Management
Summary
- Targeted company sentiment analysis using advanced machine learning.
Description
- We enable asset managers to quickly focus on those parts of their portfolio where action may be required.
- A large amount of relevant data is available as unstructured text.
- This data is increasingly time-consuming to assimilate.
- It is not easy to read everything which is relevant to our portfolio.
- We use natural language processing in a number of languages to continuously scan and analyze a number of sources - including news, regulatory reports, and social media - relevant for our client's portfolio and benchmark.
- Gradually expanding to include fundamental, technical, and macroeconomic analysis.
- Machine learning approaches we use include Deep Neural Networks, LSTM's, Generative adversarial networks, and Bi-directional encoder representations from transformers.
