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Bandhan BSE India Sector Leaders Index Fund - Regular Plan - Growth is an index scheme managed by Bandhan Mutual Fund. The total expense ratio is 1.02% on assets of ₹27Cr. The fund is currently managed by Abhishek Jain, appointed within the last year.
Lower is better.
This scheme classifies as Large-Blend on the 3x3 equity style box, with 72% 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 |
|---|
| Aditya Birla Real Estate Limited | Real Estate | 1.22% |
| Mazagon Dock Shipbuilders Limited | Industrials | 1.09% |
| Hindustan Aeronautics Ltd | Industrials | 1.05% |
| Bharti Hexacom Limited | Communication Services | 0.95% |
| Sector | Holdings | Weight |
|---|---|---|
| Banks | 3 | 13.54% |
| IT - Software | 3 | 7.46% |
| Telecom - Services | 1 | 6.90% |
| Construction | 3 | 6.63% |
| Petroleum Products | 2 | 5.83% |
| Automobiles | 3 | 5.48% |
| Diversified FMCG | 2 | 4.95% |
| Power | 3 | 4.68% |
| Retailing | 3 | 3.97% |
| Pharmaceuticals & Biotechnology | 3 | 3.85% |
| Consumer Durables | 3 | 3.69% |
| Textiles & Apparels | 3 | 3.33% |
| Cement & Cement Products | 3 | 3.28% |
| Diversified | 3 | 3.20% |
| Realty | 3 | 3.16% |
| Entertainment | 3 | 3.09% |
| Chemicals & Petrochemicals | 3 | 2.96% |
| Aerospace & Defense | 1 | 2.56% |
| Transport Services | 2 | 2.01% |
| Ferrous Metals | 1 | 1.71% |
| Paper, Forest & Jute Products | 1 | 1.22% |
| Metals & Minerals Trading | 1 | 1.18% |
| Food Products | 1 | 1.14% |
| Transport Infrastructure | 1 | 1.13% |
| Industrial Manufacturing | 1 | 1.09% |
| Oil | 1 | 1.07% |
| Non - Ferrous Metals | 1 | 0.98% |
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 4.3% 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 = 2 data points.