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Motilal Oswal Nifty 50 Index Fund - Regular plan - Growth is an index scheme managed by Motilal Oswal Mutual Fund. Three-year compounded annual return is 8.62%, placing it in the 51st percentile of Index peers. It has ranked in the top half of its category for 4 of the last 6 reported years. The total expense ratio is 0.66% on assets of ₹870Cr. The fund is currently managed by Mr. Rakesh Shetty, appointed within the last year.
Lower is better.
This scheme classifies as Large-Value 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.
In-house derivations using 3-year daily NAV vs benchmark. See methodology.
| Weight |
|---|
| HDFC BANK LIMITED | Financial Services | 10.74% |
| RELIANCE INDUSTRIES LIMITED | Energy | 8.79% |
| ICICI BANK LIMITED | Financial Services | 8.22% |
| BHARTI AIRTEL LIMITED | Communication Services | 5.27% |
| LARSEN AND TOUBRO LIMITED | Industrials | 4.29% |
| STATE BANK OF INDIA | Financial Services | 4.03% |
| INFOSYS LIMITED | Technology | 3.77% |
| AXIS BANK LIMITED | Financial Services | 3.31% |
| ITC LIMITED | Consumer Defensive | 2.76% |
| MAHINDRA AND MAHINDRA LIMITED | Consumer Cyclical | 2.52% |
| TATA CONSULTANCY SERVICES LIMITED | Technology | 2.30% |
| HINDUSTAN UNILEVER LIMITED | Consumer Defensive | 1.82% |
| SUN PHARMACEUTICAL INDUSTRIES LTD. | Healthcare | 1.74% |
| NTPC LIMITED | Utilities | 1.72% |
| TITAN COMPANY LIMITED | Consumer Cyclical | 1.65% |
| MARUTI SUZUKI INDIA LIMITED | Consumer Cyclical | 1.59% |
| TATA STEEL LIMITED | Basic Materials | 1.59% |
| BHARAT ELECTRONICS LIMITED | Industrials | 1.41% |
| HINDALCO INDUSTRIES LIMITED | Basic Materials | 1.37% |
| POWER GRID CORPORATION OF INDIA LIMITED | Utilities | 1.31% |
| ULTRATECH CEMENT LIMITED | Basic Materials | 1.25% |
| Shriram Finance Limited | Financial Services | 1.19% |
| HCL TECHNOLOGIES LIMITED | Technology | 1.15% |
| ADANI PORTS AND SPECIAL ECONOMIC ZONE LIMITED | Industrials | 1.11% |
| JSW STEEL LIMITED | Basic Materials | 1.08% |
| Sector | Holdings | Weight |
|---|---|---|
| Financial Services | 8 | 35.31% |
| Oil, Gas & Consumable Fuels | — | 10.84% |
| Information Technology | — | 8.59% |
| Automobile and Auto Components | — | 6.66% |
| Fast Moving Consumer Goods | — | 6.21% |
| Telecommunication | — | 5.27% |
| Metals & Mining | — | 4.67% |
| Healthcare | 4 | 4.52% |
| Construction | — | 4.29% |
| Power | — | 3.03% |
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 % |
|---|
| 5Y | 8.87% | 11.52% | 15.30% | 17.65% | 21.09% | 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 53.7% 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.
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 = 3 data points.