Ram AI's View
At RAM Active Investments research plays a key role and is conducted in-house.
RAM AI’s researchers relentlessly explore new ways of extracting information from existing data to deliver new sources of alpha, increase diversification and improve liquidity. The investment strategy is based on a bottom-up approach to stock selection, mostly driven by fundamentals and applied in a systematic manner. The strong conviction is that a disciplined approach to investments can take advantage from equity market’s inefficiencies in a continuous manner, now more than ever, since technology advancements enables them to leverage the exponential volume of information and more powerful infrastructures.
Click to discover our research papers.
ESG2Risk: A Deep Learning Framework for ESG
NLP: Unlocking the Secrets in Semantics
ML: Financial Data takes a New Dimension
GA: A Heuristic Approach to Multi-Dimensional Problems
RAM’s Systematic Equity: A Leading Approach to ESG Integration
Carbon Offset Market Review