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HDFC NIFTY GROWTH SECTORS 15 ETF - Growth Option is an etf scheme managed by HDFC Mutual Fund. Three-year compounded annual return is 5.81%, placing it in the 23rd percentile of ETF peers. It has ranked in the top half of its category for 1 of the last 3 reported years. The total expense ratio is 0.30% on assets of ₹23Cr. The fund is currently managed by Arun Agarwal, appointed within the last year.
Lower is better.
| Holding | Sector | Weight |
|---|
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.
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.
| Infosys Limited | Technology | 13.38% |
| Mahindra & Mahindra Ltd. | Consumer Cyclical | 12.35% |
| Tata Consultancy Services Ltd. | Technology | 11.27% |
| Hindustan Unilever Ltd. | Consumer Defensive | 8.91% |
| Sun Pharmaceutical Industries Ltd. | Healthcare | 8.54% |
| Titan Company Ltd. | Consumer Cyclical | 8.07% |
| Maruti Suzuki India Limited | Consumer Cyclical | 7.79% |
| Nestle India Ltd. | Consumer Defensive | 4.67% |
| Eicher Motors Ltd. | Consumer Cyclical | 4.37% |
| Tech Mahindra Ltd. | Technology | 4.17% |
| Divis Laboratories Ltd. | Healthcare | 3.69% |
| TVS Motor Company Ltd. | Consumer Cyclical | 3.66% |
| Apollo Hospitals Enterprise Ltd. | Healthcare | 3.50% |
| Cipla Ltd. | Healthcare | 3.29% |
| Persistent Systems Limited | Technology | 2.33% |
| Sector | Holdings | Weight |
|---|---|---|
| IT - Software | 4 | 31.15% |
| Automobiles | 4 | 28.17% |
| Pharmaceuticals & Biotechnology | 3 | 15.52% |
| Diversified FMCG | 1 | 8.91% |
| Consumer Durables | 1 | 8.07% |
| Food Products | 1 | 4.67% |
| Healthcare Services | 1 | 3.50% |
Active bets vs the average ETF 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.
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 83.5% means the manager bets the fund's outcome on a small basket. Effective-N is the inverse Herfindahl index — a measure of "how many positions effectively drive the fund" after weighting. Category: ETF.
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.
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.