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HSBC Aggressive Hybrid Fund - Regular Growth is a hybrid scheme managed by HSBC Mutual Fund. Over rolling three-year windows since inception, investors earned a median compounded return of 14.96%, with the bottom and top quartiles at 14.10% and 15.48% respectively. It has ranked in the top half of its category for 6 of the last 12 reported years. Risk-adjusted return (Sharpe ratio) is 0.00. The total expense ratio is 1.87% on assets of ₹5,424Cr. The fund is currently managed by Mayank Chaturvedi, appointed within the last year.
Lower is better.
This scheme classifies as Large-Value on the 3x3 equity style box, with 90% of its portfolio classified as of 2026-04-30.
| Holding | Sector |
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| Window | Min | P25 | Median |
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Point-in-time CAGRs cherry-pick a single start date. The chart below shows the distribution of every possible rolling start over the fund's history, so you see the range of investor outcomes — not just one date's number.
Backtested SIP outcomes across both rolling-window scenarios and named historical stress events (COVID, Election uncertainty, Russia/Ukraine, etc.), plus per-manager alpha during their tenure on this scheme.
Same fund, monthly SIPs over rolling 1/3/5-year windows.
| Scheme | AMC | AUM | TER | 3Y |
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Mutual fund investments are subject to market risks. Read all scheme-related documents carefully. Past performance is not indicative of future results. MintByte is an AMFI-registered Mutual Fund Distributor (ARN-314872) and APMI member (APRN-01658). MintByte does not issue buy/sell recommendations on specific securities — the site is an educational data and analytics platform. Star ratings on this page reflect a 3-year category-quartile position computed in-house and are educational only.
Mutual fund schemes are subject to market risk. Read all scheme-related documents carefully before investing. Past performance is not indicative of future results. MintByte is an AMFI-registered mutual fund distributor (ARN-314872). MintByte does not issue buy/sell recommendations on specific securities — the site is an educational data and analytics platform. Not investment advice. Methodology · How we earn.
In-house derivations using 3-year daily NAV vs benchmark. See methodology.
| Weight |
|---|
| Multi Commodity Exchange of India Ltd | Financial Services | 1.90% |
| The Federal Bank Limited | Financial Services | 1.74% |
| Hindustan Aeronautics Ltd | Industrials | 1.09% |
| Union Bank of India | Financial Services | 0.88% |
| Bank of Baroda | Financial Services | 0.87% |
| Sai Life Sciences Limited | Healthcare | 0.72% |
| Coforge Limited | Technology | 0.72% |
| Billionbrains Garage Ventures Limited | Financial Services | 0.55% |
| Punjab National Bank | Financial Services | 0.52% |
| Sundaram Finance Limited | Financial Services | 0.49% |
| Bajaj Finance Limited | Financial Services | 0.49% |
| Power Finance Corporation Limited | Financial Services | 0.47% |
| REC Limited | Financial Services | 0.47% |
| Varun Beverages Ltd | Consumer Defensive | 0.43% |
| Swiggy Pvt Ltd | Consumer Cyclical | 0.40% |
| LG Electronics India Limited | Technology | 0.38% |
| Tata Motors Limited | Consumer Cyclical | 0.34% |
| PG Electroplast Limited | Technology | 0.26% |
| LIC Housing Finance Limited | Financial Services | 0.20% |
| Sector | Holdings | Weight |
|---|---|---|
| Banks | 5 | 13.25% |
| Capital Markets | 2 | 9.35% |
| Electrical Equipment | 3 | 7.86% |
| Automobiles | 3 | 5.01% |
| Retailing | 1 | 4.50% |
| Pharmaceuticals & Biotechnology | 1 | 4.10% |
| Aerospace & Defense | 1 | 3.72% |
| Industrial Products | 3 | 3.48% |
| Consumer Durables | 2 | 3.41% |
| Beverages | 1 | 2.36% |
| It - Software | 1 | 1.97% |
| Finance | 1 | 1.96% |
| Power | 2 | 1.95% |
| Healthcare Services | 3 | 1.89% |
| Telecom - Services | 1 | 1.09% |
| Transport Services | 1 | 0.79% |
| Leisure Services | 1 | 0.68% |
| Construction | 1 | 0.62% |
| Petroleum Products | 1 | 0.59% |
| Oil | 1 | 0.54% |
| Auto Components | 1 | 0.49% |
| Industrial Manufacturing | 1 | 0.41% |
| Financial Technology (Fintech) | 1 | 0.35% |
| Agricultural Food & other Products | 1 | 0.34% |
| Agricultural Commercial & Construction Vehicles | 1 | 0.34% |
| Food Products | 1 | 0.32% |
Active bets vs the average Hybrid fund. Biggest deviations shown first.
Accent bar = fund's actual sector weight. Vertical black tick = category average for the same sector. Green overlay = overweight, dashed red = underweight. The biggest active bets show first.
How crowded into the same stocks is this fund vs the largest fund in its category?
Category leader = highest-AUM scheme in the same SEBI category. A high overlap-of-weight number means the fund is concentrated into the same names as the leader (crowded); a low one means it's genuinely differentiated.
| P75 |
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| Max |
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| Positive % |
|---|
| 1Y | -3.18% | 3.76% | 12.89% | 29.60% | 36.92% | 95.2% |
| 3Y | 12.40% | 14.10% | 14.96% | 15.48% | 16.63% | 100.0% |
Each cell is one year. Q1 = top quartile within the AMFI category for that period. Cell label is the last two digits of the year.
Top-10 weight 9.5% means the portfolio is broad — even the top names don't dominate. Effective-N is the inverse Herfindahl index — a measure of "how many positions effectively drive the fund" after weighting. Category: Hybrid.
Compounding maths on a notional ₹10 lakh lumpsum at 12% gross annual return. Green bar is what you'd have without the fee; red overlay is the fee drag. Fee is constant in this scenario — actual outcomes depend on real returns and any future TER changes.
Each row is a back-tested SIP — monthly contribution over the regime's duration, no fees adjustment beyond NAV-baked TER. XIRR is the annualised IRR of those cashflows; Abs return is the absolute cash-on-cash; Max DD is the deepest drawdown experienced mid-investment. Past performance is not indicative of future results.
Alpha is the annualised excess return vs benchmark over the manager's tenure on this scheme. Beat-benchmark = total return beat the index over the same window.
Does the fund get worse as it gets bigger? Each dot is one historical manager-tenure: AUM at tenure-end vs alpha delivered during that tenure.
Correlation is too weak to confirm or rule out capacity-driven alpha decay. Re-evaluate as more manager-tenure data accumulates.
Each dot is one manager-tenure: X = AUM at tenure end, Y = alpha during that tenure. Connecting line in chronological order. Pearson r measures the linear relationship between AUM and alpha across the historical record. n = 4 data points.
| 5Y |
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| Star |
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