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SBI MULTI ASSET ALLOCATION FUND - REGULAR PLAN - GROWTH is a hybrid scheme managed by SBI Mutual Fund. Over rolling three-year windows since inception, investors earned a median compounded return of 14.94%, with the bottom and top quartiles at 13.84% and 17.14% respectively. It has ranked in the top half of its category for 6 of the last 12 reported years. Risk-adjusted return (Sharpe ratio) is 0.00. The total expense ratio is 1.84% on assets of ₹17,666Cr. The fund is currently managed by Ms. Vandna Soni, appointed within the last year.
Lower is better.
This scheme classifies as Large-Value on the 3x3 equity style box, with 61% of its portfolio classified as of 2026-04-30.
| Holding | Sector |
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| Window | Min | P25 | Median |
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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.
| Scheme | AMC | AUM | TER | 3Y |
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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 |
|---|
| Adani Power Ltd. | Utilities | 1.69% |
| Kotak Mahindra Bank Limited | Financial Services | 1.45% |
| LIC Housing Finance Ltd. | Financial Services | 1.34% |
| Power Finance Corporation Ltd. | Financial Services | 1.12% |
| GMR Airports Ltd. | Industrials | 1.04% |
| Swiggy Pvt Ltd | Consumer Cyclical | 0.61% |
| Bank of Baroda | Financial Services | 0.58% |
| Godrej Industries Ltd. | Industrials | 0.57% |
| Indostar Capital Finance Ltd. | Financial Services | 0.45% |
| Muthoot Finance Ltd. | Financial Services | 0.43% |
| Sedemac Mechatronics Ltd. | Consumer Cyclical | 0.24% |
| Torrent Power Ltd. | Utilities | 0.23% |
| Ashiana Housing Ltd. | Real Estate | 0.16% |
| Aadhar Housing Finance Ltd. | Financial Services | 0.10% |
| Elin Electronics Ltd. | Industrials | 0.05% |
| Sector | Holdings | Weight |
|---|---|---|
| Banks | 2 | 9.77% |
| Realty | 1 | 4.65% |
| Oil | 2 | 2.64% |
| Power | 2 | 2.45% |
| Pharmaceuticals & Biotechnology | 3 | 2.31% |
| Petroleum Products | 2 | 2.20% |
| Gas | 1 | 2.16% |
| Finance | 2 | 2.11% |
| Fertilizers & Agrochemicals | 3 | 1.93% |
| Transport Services | 3 | 1.87% |
| IT - Software | 5 | 1.82% |
| Telecom - Services | 2 | 1.61% |
| Retailing | 1 | 1.59% |
| Auto Components | 1 | 1.59% |
| Healthcare Services | 1 | 1.32% |
| Leisure Services | 2 | 1.23% |
| Personal Products | 3 | 1.21% |
| Chemicals & Petrochemicals | 1 | 0.88% |
| Ferrous Metals | 2 | 0.88% |
| Textiles & Apparels | 1 | 0.87% |
| Construction | 3 | 0.78% |
| Diversified FMCG | 1 | 0.68% |
| Capital Markets | 2 | 0.68% |
| Consumer Durables | 1 | 0.62% |
| Cement & Cement Products | 2 | 0.61% |
| Insurance | 2 | 0.52% |
| IT - Services | 1 | 0.23% |
| Beverages | 1 | 0.13% |
| Entertainment | 1 | 0.05% |
Active bets vs the average Hybrid 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 | -0.53% | 8.41% | 14.86% | 21.02% | 30.44% | 99.7% |
| 3Y | 12.05% | 13.84% | 14.94% | 17.14% | 20.61% | 100.0% |
| 5Y | 13.15% | 14.30% | 14.77% | 15.14% | 15.97% | 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 9.3% 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: Hybrid.
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.
| 5Y |
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| Star |
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