FranΓ§ais| Sector | Profitable calls | Avg gain / call | Calls |
|---|---|---|---|
| Information Technology | 61.1% | +25% | 36 |
| Real Estate | 35.7% | +12% | 14 |
| Materials | 37.5% | +12% | 16 |
| Consumer Discretionary | 36.8% | +8% | 19 |
| Financials | 22.2% | +6% | 9 |
| Health Care | 42.1% | +6% | 19 |
| Stock | Profitable calls | Avg gain / call | Calls |
|---|---|---|---|
| Lilly (Eli) (LLY) | 50% | +16% | 6 |
| Autodesk (ADSK) | 60% | +8% | 5 |
| Carnival Corporation (CCL) | 20% | +1% | 5 |
| United Parcel Service (UPS) | 30% | -2% | 10 |
β See the full analyst leaderboard
In short β Over 1 year, 40.8% of Berenberg's targets turned out profitable, for an average gain of +11% per call (i.e. +4% vs its sector), across 169 timestamped calls replayed against real prices. JPI verdict: unreliable on average. An analyst can be good in one sector and poor in another β details below.
Ses secteurs les plus fiables : Information Technology (61.1% profitables, +25% / call), Real Estate (35.7% profitables, +12% / call), Materials (37.5% profitables, +12% / call).
169 timestamped Berenberg targets were replayed against real prices over 1 year β the basis for the 40.8% profitable-calls figure.
JPI Invest aggregates analyst recommendations across the entire S&P 500 (plus the S&P MidCap 400), replays them against real prices and measures who predicts best β on results, not reputation. Instead of taking a price target at face value, you see each analyst's track record on each stock.
Explore JPI Invest for free β How it works: the method β
β οΈ Educational, not advice. Β« Reliability Β» = past targets replayed against real prices (point-in-time). Past performance does not predict the future.