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Tata BSE Quality Index Fund Direct plan Growth Option is an index scheme managed by Tata 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 ₹57Cr. The fund is currently managed by Nitin Bharat Sharma, appointed within the last year.
Lower is better.
This scheme classifies as Large-Blend on the 3x3 equity style box, with 97% 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 |
|---|
| Hindustan Aeronautics Ltd | Industrials | 6.09% |
| CUMMINS INDIA LIMITED | Industrials | 5.96% |
| SUZLON ENERGY LIMITED | Industrials | 5.89% |
| HINDUSTAN UNILEVER LIMITED | Consumer Defensive | 5.86% |
| ITC LIMITED | Consumer Defensive | 5.74% |
| TATA CONSULTANCY SERVICES LIMITED | Technology | 5.65% |
| INFOSYS LIMITED | Technology | 5.21% |
| BRITANNIA INDUSTRIES LIMITED | Consumer Defensive | 5.19% |
| HDFC ASSET MANAGEMENT COMPANY LTD | Financial Services | 5.15% |
| HERO MOTOCORP LIMITED | Consumer Cyclical | 5.15% |
| DIXON TECHNOLOGIES (INDIA) LIMITED | Technology | 3.99% |
| MARICO LIMITED | Consumer Defensive | 3.32% |
| NATIONAL ALUMINIUM COMPANY LIMITED | Basic Materials | 3.14% |
| PAGE INDUSTRIES LIMITED | Consumer Cyclical | 2.55% |
| HINDUSTAN ZINC LIMITED | Basic Materials | 2.54% |
| COLGATE-PALMOLIVE (INDIA) LIMITED | Consumer Defensive | 2.21% |
| ORACLE FINANCIAL SERVICES SOFTWARE LIMITED | Technology | 1.89% |
| Mazagon Dock Shipbuilders Limited | Industrials | 1.83% |
| NIPPON LIFE INDIA ASSET MANAGEMENT LIMITED | Financial Services | 1.66% |
| INDIAN RAILWAY CATERING AND TOURISM CORPORATION LIMITED | Consumer Cyclical | 1.39% |
| ABBOTT INDIA LIMITED | Healthcare | 1.35% |
| PREMIER ENERGIES LIMITED | Technology | 1.10% |
| GLAXOSMITHKLINE PHARMACEUTICALS LTD | Healthcare | 1.06% |
| CASTROL INDIA LIMITED | Energy | 1.00% |
| CRISIL LIMITED | Financial Services | 0.85% |
| Sector | Holdings | Weight |
|---|---|---|
| Fast Moving Consumer Goods | — | 29.34% |
| Capital Goods | — | 26.86% |
| Information Technology | — | 12.75% |
| Financial Services | 3 | 8.93% |
| Metals & Mining | — | 5.68% |
| Automobile and Auto Components | — | 5.15% |
| Consumer Durables | — | 3.99% |
| Textiles | — | 2.55% |
| Healthcare | 2 | 2.41% |
| Consumer Services | — | 1.39% |
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.
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.
| P75 |
|---|
| Max |
|---|
| Positive % |
|---|
| 1Y | 3.04% | 5.55% | 7.07% | 11.69% | 14.03% | 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 55.9% 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: 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 = 2 data points.