Our investments are driven by the extensive expertise of our teams and we adopt the highest standards of risk management and both fundamental and technical analysis.

The investment in fads and noise that characterise the market are driven by sentiment which is not predictable. Having the discipline to ignore the market’s changeable sentiment has allowed us to avoid the pitfalls and deliver attractive returns over long periods of time. Therefore our activities are concentrated to perform:

• Mathematical Modelling: Our technology and resources are combined to build a single, powerful platform for researching algorithmic trading strategies. We use rigorous scientific methodology, robust statistical analysis, and pattern recognition to analyse an extensive and varied financial data ecosystem, extracting deep insights from truly massive datasets. Our platform provides the ability to test your mathematical models in action and get instant results using real world data.

• Machine Learning: ML is an integral part of PRIMUT Investments. We use applied ML techniques to develop successful investment management strategies; it is one of the core drivers of our overall performance and success. ML has long been a key tool at G-Research and we count among our number a range of ICML and NeurIPS published researchers.

• Engineering and Mathematical Excellence: Acting as a conduit between the engineering and research divisions, Quantitative Engineers have a direct impact on the business’ performance, translating features and ideas into tangible projects and platform developments. Our Quantitative Engineers undertake work such as applying novel machine learning ideas to our datasets using our in-house compute farm; adding new features to open source machine learning packages; and applying numerical methods to compute solutions to quants’ mathematical models in a latency-sensitive environment.

• Risk Management: Our risk minimisation efforts begin at the company level where we look to a range of factors, critical to this process is the elimination typically of companies with high debt levels or complex financial structures. When constructing a portfolio, achieving diversification across companies, business models, investment themes, and industries is an important consideration. Unless requested by a client, no one security will exceed 10% and no one industry sector will exceed 25% of the portfolio’s value. Market timing is not utilised, with portfolio turnover generally less than 25% per year.