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Motilal Oswal BSE Quality Index Fund-Regular plan is an index scheme managed by Motilal Oswal Mutual Fund. Three-year compounded annual return is 14.98%, placing it in the 73rd percentile of Index peers. It has ranked in the top half of its category for 2 of the last 3 reported years. Risk-adjusted return (Sharpe ratio) is 0.00. The total expense ratio is 1.08% on assets of ₹61Cr. The fund is currently managed by Mr. Rakesh Shetty, appointed within the last year.
Lower is better.
This scheme classifies as Large-Blend on the 3x3 equity style box, with 100% of its portfolio classified as of 2026-04-30.
| Holding | Sector |
|---|
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.
In-house derivations using 3-year daily NAV vs benchmark. See methodology.
| Weight |
|---|
| Hindustan Aeronautics Ltd | Industrials | 6.09% |
| Mazagon Dock Shipbuilders Limited | Industrials | 1.83% |
| Sector | Holdings | Weight |
|---|---|---|
| Electrical Equipment | 3 | 12.98% |
| IT - Software | 3 | 12.75% |
| Diversified FMCG | 2 | 11.60% |
| Food Products | 2 | 11.11% |
| Capital Markets | 3 | 8.08% |
| Aerospace & Defense | 1 | 6.09% |
| Industrial Products | 1 | 5.96% |
| Non - Ferrous Metals | 2 | 5.68% |
| Automobiles | 1 | 5.15% |
| Consumer Durables | 1 | 3.99% |
| Agricultural Food & other Products | 1 | 3.32% |
| Personal Products | 3 | 3.30% |
| Textiles & Apparels | 1 | 2.54% |
| Pharmaceuticals & Biotechnology | 2 | 2.41% |
| Industrial Manufacturing | 1 | 1.83% |
| Leisure Services | 1 | 1.39% |
| Petroleum Products | 1 | 1.00% |
| Finance | 1 | 0.85% |
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.
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 7.9% 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: 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.
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.