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Mahindra Manulife Banking & Financial Services Fund - Regular - Growth is an equity scheme managed by Mahindra Manulife Mutual Fund. Risk-adjusted return (Sharpe ratio) is 0.00. The total expense ratio is 2.39% on assets of ₹427Cr. The fund is currently managed by Mr. Vishal Jajoo, appointed within the last year.
Lower is better.
This scheme classifies as Large-Value on the 3x3 equity style box, with 100% 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 |
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| Shriram Finance Limited | Financial Services | 4.89% |
| Bajaj Finance Limited | Financial Services | 3.86% |
| Kotak Mahindra Bank Limited | Financial Services | 1.62% |
| Multi Commodity Exchange of India Ltd | Financial Services | 1.56% |
| Angel One Limited | Financial Services | 1.54% |
| Bank of Maharashtra | Financial Services | 1.15% |
| Indian Bank | Financial Services | 0.93% |
| Sector | Holdings | Weight |
|---|---|---|
| Banks | 3 | 54.70% |
| Finance | 2 | 23.17% |
| Capital Markets | 2 | 8.07% |
| Insurance | 2 | 6.30% |
| Financial Technology (Fintech) | 1 | 2.69% |
Active bets vs the average Equity 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 15.6% 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: Equity.
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 = 2 data points.
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