Loading mutual fund details…
HDFC BSE 500 Index Fund - Growth Option - Direct Plan is an index scheme managed by HDFC Mutual Fund. Over rolling three-year windows since inception, investors earned a median compounded return of 13.43%, with the bottom and top quartiles at 13.28% and 14.35% respectively. It has ranked in the top half of its category for 1 of the last 1 reported years. The total expense ratio is 0.53% on assets of ₹284Cr. The fund is currently managed by Nandita Menezes, appointed within the last year.
Lower is better.
This scheme classifies as Large-Value on the 3x3 equity style box, with 92% 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.
ETF-specific data. Tracking error is the standard-deviation of (ETF return − index return) over the trailing year.
In-house derivations using 3-year daily NAV vs benchmark. See methodology.
| Weight |
|---|
| HDFC BANK LIMITED | Financial Services | 6.23% |
| RELIANCE INDUSTRIES LIMITED | Energy | 5.14% |
| ICICI BANK LIMITED | Financial Services | 4.79% |
| BHARTI AIRTEL LIMITED | Communication Services | 2.85% |
| LARSEN AND TOUBRO LIMITED | Industrials | 2.49% |
| STATE BANK OF INDIA | Financial Services | 2.35% |
| INFOSYS LIMITED | Technology | 2.19% |
| AXIS BANK LIMITED | Financial Services | 1.92% |
| ITC LIMITED | Consumer Defensive | 1.61% |
| MAHINDRA AND MAHINDRA LIMITED | Consumer Cyclical | 1.47% |
| TATA CONSULTANCY SERVICES LIMITED | Technology | 1.33% |
| HINDUSTAN UNILEVER LIMITED | Consumer Defensive | 1.07% |
| SUN PHARMACEUTICAL INDUSTRIES LTD. | Healthcare | 1.04% |
| NTPC LIMITED | Utilities | 1.01% |
| TITAN COMPANY LIMITED | Consumer Cyclical | 0.95% |
| MARUTI SUZUKI INDIA LIMITED | Consumer Cyclical | 0.93% |
| TATA STEEL LIMITED | Basic Materials | 0.92% |
| BHARAT ELECTRONICS LIMITED | Industrials | 0.82% |
| HINDALCO INDUSTRIES LIMITED | Basic Materials | 0.79% |
| POWER GRID CORPORATION OF INDIA LIMITED | Utilities | 0.77% |
| ULTRATECH CEMENT LIMITED | Basic Materials | 0.72% |
| Shriram Finance Limited | Financial Services | 0.69% |
| HCL TECHNOLOGIES LIMITED | Technology | 0.67% |
| ADANI PORTS AND SPECIAL ECONOMIC ZONE LIMITED | Industrials | 0.65% |
| OIL AND NATURAL GAS CORPORATION LIMITED | Energy | 0.62% |
| Sector | Holdings | Weight |
|---|---|---|
| Financial Services | 75 | 29.83% |
| Oil, Gas & Consumable Fuels | — | 8.01% |
| Capital Goods | — | 7.23% |
| Automobile and Auto Components | — | 7.08% |
| Healthcare | 45 | 6.79% |
| Information Technology | — | 6.69% |
| Fast Moving Consumer Goods | — | 6.06% |
| Metals & Mining | — | 3.99% |
| Power | — | 3.94% |
| Telecommunication | — | 3.53% |
Active bets vs the average Index 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 | -6.95% | 2.05% | 7.17% | 32.19% | 41.35% | 85.6% |
| 3Y | 12.74% | 13.28% | 13.43% | 14.35% | 15.55% | 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 31.0% 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: Index.
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 = 4 data points.