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The Wealth Company Multi Asset Allocation Fund - Regular Growth is a hybrid scheme managed by The Wealth Company Mutual Fund. Risk-adjusted return (Sharpe ratio) is 0.00. The total expense ratio is 2.10% on assets of ₹163Cr. The fund is currently managed by Mr. Umesh Sharma, appointed within the last year.
Lower is better.
This scheme classifies as Large-Value on the 3x3 equity style box, with 76% of its portfolio classified as of 2026-04-30.
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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.
| 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 |
|---|
| Mahindra & Mahindra Financial Services Ltd. | Financial Services | 3.07% |
| REC Limited. | Financial Services | 2.47% |
| Indian Railway Finance Corporation Ltd. | Financial Services | 1.85% |
| Kotak Mahindra Bank Limited | Financial Services | 1.50% |
| Tata Motors Limited | Consumer Cyclical | 1.10% |
| Persistent Systems Ltd | Technology | 1.05% |
| Coforge Limited | Technology | 0.88% |
| Bank of Maharashtra | Financial Services | 0.87% |
| Sector | Holdings | Weight |
|---|---|---|
| Banks | 2 | 10.64% |
| It - Software | 2 | 4.95% |
| Pharmaceuticals & Biotechnology | 3 | 3.66% |
| Capital Markets | 2 | 3.37% |
| Consumer Durables | 3 | 3.26% |
| Aerospace & Defense | 2 | 2.88% |
| Industrial Products | 2 | 2.70% |
| Chemicals & Petrochemicals | 2 | 2.49% |
| Non - Ferrous Metals | 3 | 2.44% |
| Automobiles | 2 | 2.41% |
| Power | 3 | 1.85% |
| Petroleum Products | 1 | 1.84% |
| Construction | 1 | 1.48% |
| Diversified FMCG | 1 | 1.34% |
| Telecom - Services | 1 | 1.29% |
| Finance | 1 | 1.28% |
| Transport Infrastructure | 1 | 1.18% |
| Minerals & Mining | 1 | 1.17% |
| Healthcare Services | 1 | 1.11% |
| Auto Components | 1 | 1.10% |
| Agricultural Commercial & Construction Vehicles | 1 | 1.10% |
| IT - Services | 1 | 1.08% |
| Realty | 1 | 1.02% |
| Transport Services | 1 | 0.71% |
| Diversified Metals | 1 | 0.47% |
| Ferrous Metals | 1 | 0.21% |
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.
Top-10 weight 12.8% 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.
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.
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