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HDFC NIFTY 100 ETF - Growth Option is an etf scheme managed by HDFC Mutual Fund. Three-year compounded annual return is 10.52%, placing it in the 51st percentile of ETF peers. It has ranked in the top half of its category for 0 of the last 3 reported years. The total expense ratio is 0.30% on assets of ₹45Cr. 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.
| HDFC Bank Ltd. | Financial Services | 8.76% |
| Reliance Industries Ltd. | Energy | 7.17% |
| ICICI Bank Ltd. | Financial Services | 6.70% |
| Bharti Airtel Ltd. | Communication Services | 4.30% |
| Larsen and Toubro Ltd. | Industrials | 3.50% |
| State Bank of India | Financial Services | 3.29% |
| Infosys Limited | Technology | 3.07% |
| Axis Bank Ltd. | Financial Services | 2.70% |
| ITC LIMITED | Consumer Defensive | 2.25% |
| Kotak Mahindra Bank Limited | Financial Services | 2.09% |
| Mahindra & Mahindra Ltd. | Consumer Cyclical | 2.05% |
| Tata Consultancy Services Ltd. | Technology | 1.88% |
| Bajaj Finance Ltd. | Financial Services | 1.86% |
| Hindustan Unilever Ltd. | Consumer Defensive | 1.48% |
| Sun Pharmaceutical Industries Ltd. | Healthcare | 1.42% |
| NTPC Limited | Utilities | 1.40% |
| Titan Company Ltd. | Consumer Cyclical | 1.34% |
| Eternal Limited | Consumer Cyclical | 1.32% |
| Maruti Suzuki India Limited | Consumer Cyclical | 1.30% |
| Tata Steel Ltd. | Basic Materials | 1.30% |
| Bharat Electronics Ltd. | Industrials | 1.15% |
| Hindalco Industries Ltd. | Basic Materials | 1.11% |
| Power Grid Corporation of India Ltd. | Utilities | 1.07% |
| UltraTech Cement Limited | Basic Materials | 1.02% |
| Shriram Finance Ltd. | Financial Services | 0.97% |
| Sector | Holdings | Weight |
|---|---|---|
| Banks | 9 | 24.76% |
| Petroleum Products | 3 | 8.01% |
| IT - Software | 6 | 7.30% |
| Finance | 11 | 6.36% |
| Automobiles | 7 | 6.23% |
| Power | 6 | 4.36% |
| Telecom - Services | 1 | 4.30% |
| Diversified FMCG | 2 | 3.73% |
| Pharmaceuticals & Biotechnology | 6 | 3.68% |
| Construction | 1 | 3.50% |
| Ferrous Metals | 3 | 2.52% |
| Retailing | 3 | 2.50% |
| Cement & Cement Products | 4 | 2.25% |
| Consumer Durables | 2 | 2.16% |
| Aerospace & Defense | 2 | 1.76% |
| Non - Ferrous Metals | 2 | 1.30% |
| Food Products | 2 | 1.28% |
| Electrical Equipment | 4 | 1.16% |
| Healthcare Services | 2 | 1.14% |
| Insurance | 2 | 1.08% |
| Transport Infrastructure | 1 | 0.91% |
| Oil | 1 | 0.86% |
| Beverages | 2 | 0.81% |
| Consumable Fuels | 1 | 0.81% |
| Transport Services | 1 | 0.72% |
| Agricultural, Commercial & Construction Vehicles | 1 | 0.64% |
| Auto Components | 2 | 0.63% |
| Chemicals & Petrochemicals | 2 | 0.60% |
| Agricultural Food & Other Products | 1 | 0.55% |
| Industrial Products | 1 | 0.53% |
| Metals & Minerals Trading | 1 | 0.51% |
| Realty | 2 | 0.47% |
| Capital Markets | 1 | 0.41% |
| Leisure Services | 1 | 0.41% |
| Diversified Metals | 1 | 0.34% |
| Gas | 1 | 0.33% |
| Personal Products | 1 | 0.32% |
| Industrial Manufacturing | 1 | 0.15% |
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 43.8% 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: 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.