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UTI Multi Asset Allocation Fund - Direct Plan - Growth Option is a hybrid scheme managed by UTI Mutual Fund. Over rolling three-year windows since inception, investors earned a median compounded return of 18.95%, with the bottom and top quartiles at 16.79% and 20.08% respectively. It has ranked in the top half of its category for 2 of the last 2 reported years. The total expense ratio is 1.19% on assets of ₹6,865Cr. The fund is currently managed by Mr. Jaydeep Bhowal, appointed within the last year.
Lower is better.
This scheme classifies as Large-Value on the 3x3 equity style box, with 95% of its portfolio classified as of 2026-05-29.
| 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 |
|---|
| ITC LIMITED | Consumer Defensive | 2.88% |
| HDFC BANK LIMITED | Financial Services | 2.75% |
| ICICI BANK LIMITED | Financial Services | 2.68% |
| TATA CONSULTANCY SERVICES LIMITED | Technology | 2.64% |
| INFOSYS LIMITED | Technology | 1.93% |
| BHARAT ELECTRONICS LIMITED | Industrials | 1.91% |
| ASIAN PAINTS LIMITED | Basic Materials | 1.87% |
| BRITANNIA INDUSTRIES LIMITED | Consumer Defensive | 1.75% |
| STATE BANK OF INDIA | Financial Services | 1.72% |
| COAL INDIA LTD | Energy | 1.62% |
| TITAN COMPANY LIMITED | Consumer Cyclical | 1.40% |
| INTERGLOBE AVIATION LIMITED | Industrials | 1.38% |
| HCL TECHNOLOGIES LIMITED | Technology | 1.35% |
| COLGATE-PALMOLIVE (INDIA) LIMITED | Consumer Defensive | 0.95% |
| DIXON TECHNOLOGIES (INDIA) LIMITED | Technology | 0.92% |
| MARICO LIMITED | Consumer Defensive | 0.91% |
| Shriram Finance Limited | Financial Services | 0.85% |
| RELIANCE INDUSTRIES LIMITED | Energy | 0.81% |
| HINDUSTAN UNILEVER LIMITED | Consumer Defensive | 0.79% |
| HINDUSTAN ZINC LIMITED | Basic Materials | 0.77% |
| PIDILITE INDUSTRIES LIMITED | Basic Materials | 0.73% |
| SUZLON ENERGY LIMITED | Industrials | 0.71% |
| ASHOK LEYLAND LIMITED | Industrials | 0.57% |
| FORTIS HEALTHCARE LIMITED. | Healthcare | 0.49% |
| PAGE INDUSTRIES LIMITED | Consumer Cyclical | 0.45% |
| Sector | Holdings | Weight |
|---|---|---|
| Financial Services | 12 | 19.10% |
| Fast Moving Consumer Goods | — | 10.25% |
| Information Technology | — | 7.40% |
| Capital Goods | — | 5.94% |
| Automobile and Auto Components | — | 4.58% |
| Consumer Durables | — | 4.21% |
| Healthcare | 6 | 3.30% |
| Oil, Gas & Consumable Fuels | — | 2.43% |
| Telecommunication | — | 2.10% |
| Services | — | 1.84% |
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 |
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| Max |
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| Positive % |
|---|
| 1Y | -3.65% | 7.33% | 13.46% | 23.78% | 43.52% | 97.9% |
| 3Y | 12.77% | 16.79% | 18.95% | 20.08% | 23.99% | 100.0% |
| 5Y | 13.45% | 15.44% | 16.40% | 16.99% | 19.13% | 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 21.8% 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.
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.
| 5Y |
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| Star |
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