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Union Multi Asset Allocation Fund- Direct Plan - Growth Option is a hybrid scheme managed by Union 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 1.19% on assets of ₹964Cr. The fund is currently managed by Vinod Malviya, appointed within the last year.
Lower is better.
This scheme classifies as Large-Value on the 3x3 equity style box, with 92% 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 |
|---|
| HDFC BANK LIMITED | Financial Services | 3.97% |
| RELIANCE INDUSTRIES LIMITED | Energy | 3.89% |
| ICICI BANK LIMITED | Financial Services | 3.32% |
| STATE BANK OF INDIA | Financial Services | 3.26% |
| BHARTI AIRTEL LIMITED | Communication Services | 3.02% |
| LARSEN AND TOUBRO LIMITED | Industrials | 2.23% |
| AXIS BANK LIMITED | Financial Services | 1.89% |
| TVS MOTOR COMPANY LIMITED | Consumer Cyclical | 1.43% |
| DATA PATTERNS (INDIA) LIMITED | Industrials | 1.40% |
| INFOSYS LIMITED | Technology | 1.35% |
| MARUTI SUZUKI INDIA LIMITED | Consumer Cyclical | 1.26% |
| NTPC LIMITED | Utilities | 1.24% |
| TATA CONSUMER PRODUCTS LIMITED | Consumer Defensive | 1.08% |
| MAX FINANCIAL SERVICES LIMITED | Financial Services | 1.05% |
| BHARAT ELECTRONICS LIMITED | Industrials | 1.04% |
| Power Finance Corporation Ltd. | Financial Services | 0.99% |
| ZF COMMERCIAL VEHICLE CONTROL SYSTEMS INDIA LIMITED | Consumer Cyclical | 0.94% |
| VOLTAMP TRANSFORMERS LIMITED | Industrials | 0.93% |
| GABRIEL INDIA LIMITED | Consumer Cyclical | 0.90% |
| INVENTURUS KNOWLEDGE SOLUTIONS LIMITED | Healthcare | 0.89% |
| Shriram Finance Limited | Financial Services | 0.88% |
| SONA BLW PRECISION FORGINGS LIMITED | Consumer Cyclical | 0.84% |
| COROMANDEL INTERNATIONAL LIMITED | Basic Materials | 0.84% |
| INDUSIND BANK LIMITED | Financial Services | 0.83% |
| JSW ENERGY LIMITED | Utilities | 0.82% |
| Sector | Holdings | Weight |
|---|---|---|
| Financial Services | 12 | 23.24% |
| Capital Goods | — | 7.65% |
| Automobile and Auto Components | — | 6.36% |
| Oil, Gas & Consumable Fuels | — | 4.85% |
| Information Technology | — | 3.68% |
| Telecommunication | — | 3.02% |
| Construction | — | 2.72% |
| Fast Moving Consumer Goods | — | 2.66% |
| Consumer Durables | — | 2.60% |
| Chemicals | — | 2.45% |
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 % |
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| 1Y | 8.59% | 15.68% | 17.61% | 22.21% | 32.77% | 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 25.8% 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 = 3 data points.
| 5Y |
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| Star |
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