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Kotak Nifty Alpha 50 Index Fund - Regular Plan - Growth is an index scheme managed by Kotak Mahindra Mutual Fund. The total expense ratio is 1.10% on assets of ₹31Cr. The fund is currently managed by Mr. Satish Dondapati, 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.
| Holding | Sector |
|---|
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.
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 |
|---|
| Multi Commodity Exchange of India Ltd | Financial Services | 3.71% |
| Canara Bank | Financial Services | 2.39% |
| Indian Bank | Financial Services | 2.27% |
| Bank of India | Financial Services | 1.97% |
| Union Bank of India | Financial Services | 1.88% |
| Shriram Finance Limited | Financial Services | 1.71% |
| Adani Power Limited | Utilities | 1.43% |
| Bharat Dynamics Limited | Industrials | 0.51% |
| Sector | Holdings | Weight |
|---|---|---|
| Banks | 4 | 20.03% |
| Finance | 1 | 13.23% |
| Electrical Equipment | 3 | 11.68% |
| Capital Markets | 1 | 6.97% |
| Non - Ferrous Metals | 2 | 6.57% |
| Pharmaceuticals & Biotechnology | 2 | 4.92% |
| Automobiles | 4 | 4.68% |
| Industrial Products | 2 | 4.61% |
| Chemicals & Petrochemicals | 2 | 3.62% |
| Insurance | 2 | 3.22% |
| Aerospace & Defense | 1 | 2.63% |
| Agricultural, Commercial & Construction Vehicles | 1 | 2.33% |
| Transport Services | 1 | 2.22% |
| Healthcare Services | 2 | 2.19% |
| Auto Components | 1 | 2.18% |
| Retailing | 1 | 1.87% |
| Power | 1 | 1.43% |
| Financial Technology (Fintech) | 1 | 1.27% |
| Consumer Durables | 1 | 1.03% |
| Beverages | 1 | 0.86% |
| Diversified Metals | 1 | 0.78% |
| Commercial Services & Supplies | 1 | 0.47% |
Active bets vs the average Index 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 15.9% 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: Index.
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.