Artificial intelligence opens up new possibilities for analysing financial markets. It processes large volumes of data, identifies complex relationships and provides valuable insights to support our investment decisions.
At HanseMerkur Trust Swiss, we combine this analytical strength with human expertise and clearly defined risk parameters. The result is a systematic investment approach designed to capture opportunities while keeping risks firmly in view.
One focus at HMTS is the active management of risk by means of derivatives using state-of-the-art AI technologies. We use specially optimized computer techniques for time series analysis, with a particular focus on deep learning and machine learning.
To ensure that our applied models meet the highest quality standards, we subject them to an extensive retrospective testing process lasting several years. We strictly adhere to scientifically proven procedures and rely on best practices.
The calculations are based on price data from global stock, bond and commodity indices. In addition, a wide range of text sources are analyzed using various Natural Language Processing (NLP) methods. Any subsequent adjustments to the models also go through this testing process before being adopted in live operation.
We recognize that human expertise and judgment are essential. AI serves as a powerful tool that supports and complements the work of our experts. We will continue to have a team of highly skilled analysts and fund managers who monitor, interpret and incorporate AI results into investment decisions.
Overall, we strive to implement innovative and responsible use of AI in our funds. In this way, we can provide unique value to our clients by leveraging the power, efficiency and precision of AI to achieve their investment objectives and ensure long-term success.
Learn more about our funds and the investment concepts behind them.
