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PGIM India Balanced Advantage Fund - Regular Plan - Growth Option is a hybrid scheme managed by PGIM India Mutual Fund. Over rolling three-year windows since inception, investors earned a median compounded return of 9.74%, with the bottom and top quartiles at 8.84% and 10.34% respectively. It has ranked in the top half of its category for 1 of the last 4 reported years. Risk-adjusted return (Sharpe ratio) is 0.00. The total expense ratio is 2.35% on assets of ₹830Cr. The fund is currently managed by Puneet Pal, 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 |
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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 |
|---|
| Varun Beverages Ltd | Consumer Defensive | 2.10% |
| Bajaj Finance Limited | Financial Services | 1.74% |
| Bank of Baroda | Financial Services | 1.56% |
| Fedbank Financial Services Ltd. | Financial Services | 1.14% |
| JB Chemicals & Pharmaceuticals Limited | Healthcare | 0.80% |
| Multi Commodity Exchange of India Ltd | Financial Services | 0.78% |
| Kotak Mahindra Bank Limited | Financial Services | 0.75% |
| Persistent Systems Ltd | Technology | 0.70% |
| Housing and Urban Development Corporation Ltd. | Financial Services | 0.60% |
| Indian Bank | Financial Services | 0.60% |
| LG Electronics India Limited | Technology | 0.40% |
| Shriram Finance Limited | Financial Services | 0.33% |
| Mrs Bectors Food Specialities Limited | Consumer Defensive | 0.27% |
| Sector | Holdings | Weight |
|---|---|---|
| Banks | 1 | 14.90% |
| Petroleum Products | 2 | 5.57% |
| IT - Software | 1 | 4.39% |
| Finance | 2 | 3.40% |
| Automobiles | 4 | 3.38% |
| Pharmaceuticals & Biotechnology | 1 | 3.23% |
| Beverages | 1 | 3.10% |
| Retailing | 4 | 3.08% |
| Consumer Durables | 1 | 2.65% |
| Chemicals & Petrochemicals | 3 | 2.54% |
| Telecom - Services | 1 | 2.41% |
| Power | 2 | 2.17% |
| Construction | 1 | 1.76% |
| Ferrous Metals | 2 | 1.55% |
| Auto Components | 2 | 1.50% |
| Cement & Cement Products | 2 | 1.46% |
| Healthcare Services | 2 | 1.30% |
| Food Products | 1 | 1.15% |
| Electrical Equipment | 2 | 1.06% |
| Industrial Products | 2 | 0.98% |
| Insurance | 2 | 0.95% |
| Aerospace & Defense | 1 | 0.85% |
| Non - Ferrous Metals | 1 | 0.78% |
| Capital Markets | 1 | 0.78% |
| Transport Infrastructure | 1 | 0.55% |
| Realty | 1 | 0.54% |
| Financial Technology (Fintech) | 1 | 0.52% |
| Diversified FMCG | 1 | 0.35% |
| Agricultural, Commercial & Construction Vehicles | 1 | 0.29% |
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 % |
|---|
| 1Y | -4.48% | 2.97% | 7.32% | 13.78% | 22.86% | 92.8% |
| 3Y | 6.02% | 8.84% | 9.74% | 10.34% | 14.09% | 100.0% |
| 5Y | 6.49% | 7.04% | 7.49% | 7.99% | 8.69% | 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 10.8% 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.
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 = 4 data points.
| 5Y |
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| Star |
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