Investment Strategy
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
Fund data
ISIN | DE000A1C0UD3 |
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WKN | A1C0UD |
Inception date | 30.06.2010 (Strategy was substantially changed as of 01.10.2022) |
Issue price (29.04.2025) | 99.81 EUR |
Redemption price (29.04.2025) | 95.06 EUR |
Fund volume | 4.85 Mio. EUR |
Share class volume | 4.03 Mio. EUR |
Currency Fund / Share Class | EUR / EUR |
Minimum investment | - |
Asset Manager | Joh. Berenberg, Gossler & Co. KG |
Management company | Universal-Investment-Gesellschaft mbH |
Custodian | BNP Paribas S.A. Niederlassung Deutschland |
Use of income | Distributing |
End of financial year | 31.12. |
Registration and Distribution | DE, AT |
SFDR Classification (Sustainable Finance Disclosure Regulation) | Article 8 |
Costs
Issue surcharge | Up to 5.00% |
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Flat-rate fee p.a. | 1.35% |
Total Expense Ratio (TER) p.a. | 1.84% |
Performance fee | Up to 20% of the performance above the €STR (Euro Short-Term Rate) with High Watermark |
Chances and risks
Chances | Risks |
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Market neutral returns over an entire business cycle | The fund is subject to general market risk |
Well diversified strategy which adds value within multi asset portfolios | Unit value may fluctuate due to interest rate risks |
Participation in commodity and currency markets | Higher volatility through currency and commodity exposure possible |
Income from the collection of coupon payments | Derivatives used to manage quotas may increase the risk of loss, at least temporarily |
Further details on the opportunities and risks of this fund can be found in the sales prospectus.
Indexed performance
Performance in 12-month periods
Monthly performance
Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022 | - | - | - | - | - | - | - | - | 0.00 | -0.14 | -1.06 | -1.34 | -2.53 |
2023 | 0.30 | -0.36 | 0.05 | -0.06 | 0.48 | -0.49 | 0.40 | 0.52 | 0.29 | 0.74 | 0.63 | 0.12 | 2.63 |
2024 | -0.01 | -0.32 | 0.52 | 0.34 | 0.01 | 0.73 | -0.17 | -0.18 | 0.62 | 0.80 | -0.07 | -0.35 | 1.93 |
2025 | 0.47 | -0.04 | -0.34 | -0.92 | - | - | - | - | - | - | - | - | -0.84 |
Source: Berenberg, Management company
The charts and tables regarding performance shown here are based on own calculations according to the method developed by the German Investment Funds Association (BVI). They illustrate past performance. Future performance can deviate both positively and negatively from these calculations. Gross performance (BVI method) takes into account all charges at fund level (e.g. management fee), net performance plus the issue surcharge. Additional charges can arise for individual investors (e.g. custody account fees, commissions and other fees). Model calculation (net): An investor wants to purchase fund units for EUR 1,000 EUR. Considering a max issue surcharge of 5.00% he has to payEUR 50.00 for the purchase. Also, fees may be charged for the administration of the safe custody account, which will lower the performance. Past performance is not a reliable indicator of future performance.
Performance after issue surcharge
1 year | 0.61% |
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since inception | 1.10% |
Source: Berenberg, Management company | State: 29 Apr 2025
Risk figures
Volatility - 1 year | 2.33% |
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Maximum Drawdown - since inception | -3.96% |
Currencies
Countries
Asset classes
Top Holdings
Monthly market comment
March continued to be shaped primarily by the new political leadership in the United States and persistent concerns about economic growth. Anticipation of President Trump's upcoming tariff announcements in early April—referred to as “Liberation Day”—was already weighing on the markets throughout March. The S&P 500 recorded its sharpest monthly decline since December 2022. In contrast, optimism prevailed in Europe after Germany passed a comprehensive stimulus package. As weaker U.S. economic data and a declining equity market took their toll, the yield on 2-year U.S. Treasuries fell by 11 basis points over the month, while yields on 10-year Treasuries remained largely unchanged. However, the real momentum was in Europe: yields on 10-year Bunds surged by more than 33 basis points, driven by Germany’s fiscal measures. This also pushed up Gilt yields by more than 19 basis points. Risk aversion was evident in credit markets as well, with high-yield spreads widening significantly in both euro and dollar segments. The U.S. dollar weakened under the pressure of intensifying recession fears and strengthening European currencies. Gold, benefiting from political uncertainty, reached a new all-time high in March, while oil prices declined by more than 3%.
Portfolio Management

Nico Baum
Nico Baum has been with Berenberg since July 2018. As Head of Innovation & Data and Head of Data-Driven Investments, he is responsible for AI research & development as well as the bank-wide AI transformation. Previously, he was COO and portfolio manager of a fully regulated asset management fintech, with a focus on artificial intelligence and big data analytics. He began his career in the investment banking division of a leading German bank, with positions in Frankfurt, London, and Hong Kong.