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HDFC NIFTY PSU BANK ETF is an etf scheme managed by HDFC Mutual Fund. It has ranked in the top half of its category for 1 of the last 1 reported years. The total expense ratio is 0.35% on assets of ₹35Cr. 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.
| State Bank of India | Financial Services | 33.70% |
| Bank of Baroda | Financial Services | 13.51% |
| Canara Bank | Financial Services | 12.55% |
| Punjab National Bank | Financial Services | 10.42% |
| Union Bank of India | Financial Services | 8.86% |
| Indian Bank | Financial Services | 8.32% |
| Bank of India | Financial Services | 4.70% |
| Bank of Maharashtra | Financial Services | 4.41% |
| Indian Overseas Bank | Financial Services | 1.41% |
| Central Bank Of India | Financial Services | 0.98% |
| UCO Bank | Financial Services | 0.84% |
| Punjab & Sind Bank | Financial Services | 0.30% |
| Sector | Holdings | Weight |
|---|---|---|
| Banks | 12 | 100.00% |
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 98.9% 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.