The Berenberg Sentiment Fund invests in a well diversified portfolio of different asset classes. The underlying investment philosophy aims to generate positive returns over the entire market cycle by analysing globally written and spoken news in different languages (alternative data). Latest technology enables us to turn this unstructured data into actionable insights and use these for the prediction of price movements in financial markets.
Several hundred thousand global and unstructured real-time messages are analysed daily with latest Machine Learning technology and transformed into investment decisions, this process is fully automated. In addition, to the income from the active investment decision from sentimentmodels, ongoing interest income is to be generated through a bond floor portfolio.
- Globally diversified macro fund based on alternative sentiment data (market sentiment) and state-of-the-art technology.
- Less exposure to the development of the equity and bond markets.
- Good and highly diversified addition to many other fund concepts
- Investment universe with a focus on the asset classes commodities and currencies
Further details on the opportunities and risks of this fund can be found in the sales prospectus.
Monthly market comment
Positive economic surprises, strong US labour market data and persistent inflation headwinds dampened hopes of a timely turnaround in global monetary policy. This led to significantly rising yields again, weighing on most asset classes. The fund closed the month of February with -0.3%. Currencies and commodities provided a small positive contribution to the fund performance. Pressure on performance was driven by the bond base portfolio, due to a lower mark-to-market valuation as a result of higher interest rates.
Nico Baum joined Berenberg in July 2018. In addition to leading the Innovation & Data team, Nico Baum is also Head of Business Management & Development within Asset Management.
Previously, Nico Baum was COO & Portfolio Manager in an Asset Management FinTech with a focus on Big Data analytics. Before that, he worked in Investment Banking in a leading German bank in Frankfurt and Hong Kong.