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DSP Dynamic Asset Allocation Fund - Regular Plan - Growth is a hybrid scheme managed by DSP Mutual Fund. Over rolling three-year windows since inception, investors earned a median compounded return of 9.94%, with the bottom and top quartiles at 9.25% and 11.83% respectively. It has ranked in the top half of its category for 6 of the last 11 reported years. Risk-adjusted return (Sharpe ratio) is 0.00. The total expense ratio is 1.93% on assets of ₹3,661Cr. The fund is currently managed by Preethi R S, appointed within the last year.
Lower is better.
This scheme classifies as Large-Value on the 3x3 equity style box, with 91% 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 |
|---|
| Hindustan Aeronautics Ltd | Industrials | 1.85% |
| LG Electronics India Limited | Technology | 1.64% |
| LIC Housing Finance Limited | Financial Services | 1.33% |
| Bank of Baroda | Financial Services | 1.32% |
| Torrent Pharmaceuticals Limited | Healthcare | 1.05% |
| Coforge Limited | Technology | 0.79% |
| Cholamandalam Investment and Finance Company Limited | Financial Services | 0.72% |
| Kotak Mahindra Bank Limited | Financial Services | 0.71% |
| REC Limited | Financial Services | 0.70% |
| Shriram Finance Limited | Financial Services | 0.69% |
| Bajaj Finance Limited | Financial Services | 0.69% |
| Muthoot Finance Limited | Financial Services | 0.68% |
| Power Finance Corporation Limited | Financial Services | 0.68% |
| Mrs Bectors Food Specialities Limited | Consumer Defensive | 0.54% |
| Tata Motors Limited | Consumer Cyclical | 0.46% |
| Hyundai Motor India Ltd | Consumer Cyclical | 0.26% |
| JNK India Limited | Industrials | 0.25% |
| Sector | Holdings | Weight |
|---|---|---|
| Banks | 2 | 14.90% |
| Consumer Durables | 1 | 4.51% |
| Insurance | 6 | 4.42% |
| Finance | 1 | 3.63% |
| Power | 2 | 3.47% |
| Pharmaceuticals & Biotechnology | 2 | 2.78% |
| Aerospace & Defense | 1 | 2.36% |
| Diversified FMCG | 2 | 2.16% |
| Automobiles | 1 | 2.14% |
| It - Software | 1 | 1.82% |
| Telecom - Services | 1 | 1.66% |
| Auto Components | 1 | 1.02% |
| Construction | 1 | 0.98% |
| Ferrous Metals | 1 | 0.94% |
| Retailing | 1 | 0.90% |
| Petroleum Products | 1 | 0.79% |
| Personal Products | 1 | 0.77% |
| Healthcare Services | 1 | 0.70% |
| Beverages | 1 | 0.68% |
| Gas | 1 | 0.58% |
| Food Products | 1 | 0.54% |
| Agricultural Commercial & Construction Vehicles | 1 | 0.46% |
| Non - Ferrous Metals | 1 | 0.43% |
| Industrial Manufacturing | 1 | 0.25% |
| Industrial Products | 1 | 0.07% |
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 | -3.86% | 4.30% | 9.21% | 17.24% | 24.40% | 92.7% |
| 3Y | 7.38% | 9.25% | 9.94% | 11.83% | 14.05% | 100.0% |
| 5Y | 7.80% | 8.81% | 9.72% | 10.75% | 12.20% | 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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