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HSBC Infrastructure Fund - Direct Growth is an equity scheme managed by HSBC Mutual Fund. Over rolling three-year windows since inception, investors earned a median compounded return of 22.87%, with the bottom and top quartiles at 21.88% and 23.70% respectively. It has ranked in the top half of its category for 1 of the last 1 reported years. The total expense ratio is 0.98% on assets of ₹2,413Cr. The fund is currently managed by Mayank Chaturvedi, appointed within the last year.
Lower is better.
This scheme classifies as Large-Blend on the 3x3 equity style box, with 91% of its portfolio classified as of 2026-05-29.
| Holding | Sector |
|---|
| Window | Min | P25 | Median |
|---|
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.
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 |
|---|
| NTPC LIMITED | Utilities | 9.12% |
| BHARAT ELECTRONICS LIMITED | Industrials | 7.24% |
| LARSEN AND TOUBRO LIMITED | Industrials | 6.86% |
| BHARTI AIRTEL LIMITED | Communication Services | 6.06% |
| RELIANCE INDUSTRIES LIMITED | Energy | 5.97% |
| MTAR TECHNOLOGIES LIMITED | Industrials | 3.82% |
| ULTRATECH CEMENT LIMITED | Basic Materials | 3.79% |
| Hindustan Aeronautics Ltd | Industrials | 3.23% |
| HINDALCO INDUSTRIES LIMITED | Basic Materials | 3.02% |
| KIRLOSKAR OIL ENGINES LIMITED | Industrials | 2.61% |
| TD POWER SYSTEMS LIMITED | Industrials | 2.18% |
| ABB INDIA LIMITED | Industrials | 2.04% |
| KEI INDUSTRIES LIMITED | Industrials | 2.01% |
| POWER FINANCE CORPORATION LTD. | Financial Services | 1.84% |
| INTERGLOBE AVIATION LIMITED | Industrials | 1.79% |
| ENGINEERS INDIA LIMITED | Industrials | 1.76% |
| AMBER ENTERPRISES INDIA LIMITED | Consumer Cyclical | 1.66% |
| KENNAMETAL INDIA LIMITED | Basic Materials | 1.60% |
| SIEMENS LIMITED | Industrials | 1.55% |
| OIL INDIA LTD. | Energy | 1.53% |
| POLYCAB INDIA LIMITED | Industrials | 1.48% |
| DIXON TECHNOLOGIES (INDIA) LIMITED | Technology | 1.41% |
| ADITYA BIRLA REAL ESTATE LIMITED | Real Estate | 1.27% |
| TATA STEEL LIMITED | Basic Materials | 1.23% |
| KIRLOSKAR PNEUMATIC COMPANY LTD. | Industrials | 1.23% |
| Sector | Holdings | Weight |
|---|---|---|
| Capital Goods | — | 44.46% |
| Construction | — | 11.43% |
| Power | — | 9.91% |
| Oil, Gas & Consumable Fuels | — | 7.50% |
| Telecommunication | — | 6.06% |
| Metals & Mining | — | 4.25% |
| Construction Materials | — | 3.79% |
| Consumer Durables | — | 3.28% |
| Services | — | 2.98% |
| Financial Services | 1 | 1.84% |
Active bets vs the average Equity 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.
| P75 |
|---|
| Max |
|---|
| Positive % |
|---|
| 1Y | -11.38% | -0.53% | 14.32% | 54.07% | 74.80% | 73.8% |
| 3Y | 19.01% | 21.88% | 22.87% | 23.70% | 25.48% | 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 51.7% means concentration is in line with most actively-managed Indian equity funds. Effective-N is the inverse Herfindahl index — a measure of "how many positions effectively drive the fund" after weighting. Category: Equity.
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.
What an investor SIPping into this fund actually got during named market shocks.
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 = 3 data points.