DSP Asset Managers Private Limited · Dynamic Asset Allocation or Balanced Advantage

DSP Dynamic Asset Allocation Fund

Hybrid Scheme - Dynamic Asset Allocation or Balanced Advantage Direct plan, growth benchmark: CRISIL Hybrid 50+50 - Moderate launched 17 Jan 2014 open-ended

At a glance

the fund as it stands today, from public disclosures

NAV, 21 Sep 2026

₹33.22

+0.17% since 18 Sep 2026, the previous NAV

1 year

3.9%

return

3 years

10.7%

a year

5 years

8.9%

a year

Since launch

9.7%

a year, over 12.0 years

Assets (AUM)

₹3,827 Cr

Aug 2026 factsheet

Expense ratio, Direct / Regular

0.59% / 1.62%

a year, as of Aug 2026

Holdings

top ten are 41% of the fund · Aug 2026

Disclosed history

12 yrs

Feb 2014 – Aug 2026 · 4 of 11 checks could run

Fund managers

Rohit Singhania · since at least Jul 2025

All managers →

As the Aug 2026 factsheet printed it: standard deviation 6.5% · portfolio turnover 3.91×. Exit load and minimum investment are not yet extracted from the scheme documents.

What only Anveshan can tell you

measured from the disclosures, not quoted from a brochure — each links to how it was done

P5Cost, measured

Regular plan costs 1.32% a year more than Direct

₹28,676 on ₹1 lakh over ten years. Same portfolio, two prices — the difference is what the Regular plan's distribution costs you, read from the two NAVs.

See how it is measured →

P7Whose record

Run by Rohit Singhania for at least 1.2 yrs

the factsheet archive starts Jul 2025, so this is a floor. A return earned before they arrived is the house's record, not theirs — the tenure table shows the fund against its category over exactly their months.

Rohit Singhania's other funds →

NAVTracking gap

Not replicated: the portfolio cannot be priced line by line in this build.

Each day, the NAV the fund published against the NAV its last disclosed portfolio would have produced at that day's prices. A gap that opens and stays is a change the fund has made and not disclosed yet.

See the daily gap →

P4Consistency

Beat its category in 28% of three-year stretches, and averaged −1.1 points a year across all of them

109 rolling windows since 2014 · ahead by 0.8 points a year when it won, behind by 1.8 when it lost. A single five-year figure depends on the day you look; the share of stretches won does not — and the average margin says whether winning often was worth anything.

See every window →

NAV and drawdown

Direct plan, growth class · as of 21 Sep 2026

Month-end NAV, indexed to 100 at Sep 2014

145 month-ends · ₹10.96 → ₹33.22, 3.0× since Sep 2014

Deepest fall (max drawdown)

−5.5%

6 Jan 2026 → 30 Mar 2026

Worst month

−4.6%

Mar 2026

Days to recover

from the deepest trough back to the old high

Drawdown is measured on the last year of daily NAV; trailing returns are CAGR of the direct growth class. A single end date decides them — the consistency card (P4) below is the record that does not, and it reports both how often the fund beat its category and by how much, because the first without the second can point the wrong way.

Holdings

Aug 2026 disclosure · 91 lines · when each was first held and the change over the last three disclosures

#	Holding	Sector	Weight	First held	Held for	3-mo change
1	ICICI Bank Limited equity	Banks	7.90%	Feb 2018	8.6 yrs	-0.49%
2	HDFC Bank Limited equity	Banks	7.46%	Sep 2019	7.0 yrs	+0.06%
3	Axis Bank Limited equity	Banks	5.10%	Jul 2018	8.2 yrs	+0.43%
4	State Bank of India equity	Banks	4.57%	Mar 2023	3.5 yrs	+1.28%
5	Bharti Airtel Limited equity	Telecom - Services	3.96%	Mar 2024	2.5 yrs	+0.45%
6	Kotak Mahindra Bank Limited equity	Banks	3.26%	Jan 2026	8 mo	+0.70%
7	6.94% GOI 11052036 government security	—	2.67%	Jun 2026	3 mo	+2.67%
8	TREPS / cash equivalents TREPS / Reverse Repo Investments · money market	—	2.03%	Jul 2024	2.2 yrs	-1.34%
9	Titan Co Limited equity	Consumer Durables	2.00%	Jun 2024	2.3 yrs	+0.60%
10	Bajaj Finserv Limited equity	Finance	1.99%	Sep 2022	4.0 yrs	+0.94%
11	Hindustan Aeronautics Limited equity	Aerospace & Defense	1.96%	Feb 2024	2.6 yrs	+0.65%
12	Bandhan Bank Limited equity	Banks	1.67%	Dec 2023	2.8 yrs	-0.54%
13	7.06% GOI 10042028 government security	—	1.64%	Dec 2023	2.8 yrs	-0.04%
14	Life Insurance Corporation Of India equity	Insurance	1.43%	Apr 2024	2.4 yrs	+0.78%
15	Cipla Limited equity	Pharmaceuticals & Biotechnology	1.42%	Feb 2024	2.6 yrs	-0.01%
16	LG Electronics India Limited equity	Consumer Durables	1.41%	Oct 2025	11 mo	+0.09%
17	Mahindra & Mahindra Limited equity	Automobiles	1.40%	Nov 2023	2.8 yrs	-0.21%
18	National Bank For Agriculture & Rural Development corporate bond	—	1.40%	Jun 2025	1.3 yrs	-0.03%
19	7.17% GOI 17042030 government security	—	1.37%	Jul 2023	3.2 yrs	-0.03%
20	REC Limited** corporate bond	—	1.36%	Mar 2023	3.5 yrs	-0.02%
21	Bajaj Finance Limited** corporate bond	—	1.35%	May 2023	3.3 yrs	-0.02%
22	LIC Housing Finance Limited** corporate bond	—	1.31%	Jun 2025	1.3 yrs	-0.02%
23	SBI Life Insurance Co Limited equity	Insurance	1.28%	Oct 2024	1.9 yrs	-0.12%
24	Canara Bank** money market	—	1.27%	Aug 2026	1 mo	+1.27%
25	Hindalco Industries Limited equity	Non - Ferrous Metals	1.25%	Nov 2023	2.8 yrs	-0.20%
26	Eternal Limited equity	Retailing	1.15%	Dec 2025	9 mo	+0.24%
27	Bank of Baroda equity	Banks	1.15%	Dec 2023	2.8 yrs	-0.19%
28	Bharat Petroleum Corporation Limited equity	Petroleum Products	1.14%	Jun 2024	2.3 yrs	+0.28%
29	HDFC Life Insurance Co Limited equity	Insurance	1.13%	Feb 2026	7 mo	-0.16%
30	7.32% GOI 13112030 government security	—	1.10%	Dec 2023	2.8 yrs	-1.84%
31	Hindustan Unilever Limited equity	Diversified FMCG	1.08%	Nov 2022	3.8 yrs	+0.09%
32	Punjab National Bank equity	Banks	1.08%	Oct 2024	1.9 yrs	+0.45%
33	Max Financial Services Limited equity	Insurance	1.04%	Jan 2025	1.7 yrs	+0.23%
34	Torrent Pharmaceuticals Limited** corporate bond	—	1.03%	Jan 2026	8 mo	-0.02%
35	PNB Housing Finance Limited equity	Finance	1.00%	Feb 2026	7 mo	+0.06%
36	Mankind Pharma Limited equity	Pharmaceuticals & Biotechnology	0.97%	Oct 2024	1.9 yrs	-0.31%
37	Info Edge (India) Limited equity	Retailing	0.97%	May 2026	4 mo	+0.21%
38	Small Industries Development Bank Of India** corporate bond	—	0.97%	Oct 2024	1.9 yrs	-0.02%
39	ITC Limited equity	Diversified FMCG	0.91%	Dec 2023	2.8 yrs	+0.10%
40	NTPC Limited equity	Power	0.91%	Jun 2024	2.3 yrs	-0.21%
41	Coforge Limited equity	IT - Software	0.84%	Jun 2025	1.3 yrs	-0.10%
42	Century Plyboards (India) Limited equity	Consumer Durables	0.83%	Jun 2021	5.3 yrs	-0.05%
43	Tata Steel Limited equity	Ferrous Metals	0.79%	Jul 2024	2.2 yrs	-0.13%
44	Bharat Electronics Limited equity	Aerospace & Defense	0.74%	Jun 2026	3 mo	+0.74%
45	India Universal Trust** government security	—	0.72%	Sep 2024	2.0 yrs	-0.05%
46	Tata Capital Limited equity	Finance	0.71%	Oct 2025	11 mo	-0.11%
47	Cholamandalam Investment and Finance Co Limited corporate bond	—	0.71%	Feb 2026	7 mo	-0.01%
48	Bharti Telecom Limited** corporate bond	—	0.70%	Dec 2023	2.8 yrs	-0.01%
49	Maruti Suzuki India Limited equity	Automobiles	0.69%	Jul 2026	2 mo	+0.69%
50	REC Limited** corporate bond	—	0.69%	Aug 2023	3.1 yrs	-0.01%
51	Muthoot Finance Limited** corporate bond	—	0.68%	Nov 2025	10 mo	-0.02%
52	Bajaj Finance Limited** corporate bond	—	0.68%	Jun 2024	2.3 yrs	-0.02%
53	National Bank For Agriculture & Rural Development** corporate bond	—	0.68%	Aug 2025	1.1 yrs	-0.01%
54	Power Finance Corporation Limited corporate bond	—	0.67%	Mar 2025	1.5 yrs	-0.02%
55	Muthoot Finance Limited** corporate bond	—	0.67%	Nov 2025	10 mo	-0.01%
56	7.71% GOI 18052066 government security	—	0.67%	Jul 2026	2 mo	+0.67%
57	Muthoot Finance Limited** corporate bond	—	0.66%	Jul 2023	3.2 yrs	-0.07%
58	National Bank for Financing Infrastructure and Development** corporate bond	—	0.65%	Jul 2024	2.2 yrs	-0.06%
59	National Bank for Financing Infrastructure and Development** corporate bond	—	0.65%	May 2025	1.3 yrs	-0.01%
60	PB Fintech Limited equity	Financial Technology (Fintech)	0.64%	Jul 2026	2 mo	+0.64%
61	HDFC Bank Limited money market	—	0.64%	Feb 2026	7 mo	-0.01%
62	Kotak Securities Limited** money market	—	0.64%	Aug 2026	1 mo	+0.64%
63	TREPS / cash equivalents Cash Margin · cash equivalent	—	0.64%	May 2025	1.3 yrs	-0.03%
64	HDFC Bank Limited** money market	—	0.63%	Mar 2026	6 mo	-0.01%
65	Mrs Bectors Food Specialities Limited equity	Food Products	0.60%	Dec 2025	9 mo	+0.12%
66	Emami Limited equity	Personal Products	0.60%	Sep 2021	5.0 yrs	-0.09%
67	Samvardhana Motherson International Limited equity	Auto Components	0.59%	Mar 2021	5.5 yrs	-0.18%
68	Syngene International Limited equity	Healthcare Services	0.57%	Mar 2025	1.5 yrs	-0.09%
69	Tata Motors Limited equity	Agricultural, Commercial & Construction Vehicles	0.51%	Oct 2025	11 mo	+0.08%
70	Infosys Limited equity	IT - Software	0.49%	Jun 2020	6.3 yrs	-0.03%
71	Tata Power Co Limited equity	Power	0.43%	Oct 2020	5.9 yrs	-1.69%
72	Hyundai Motor India Limited equity	Automobiles	0.41%	Apr 2026	5 mo	+0.04%
73	Alkem Laboratories Limited equity	Pharmaceuticals & Biotechnology	0.35%	Jul 2026	2 mo	+0.35%
74	Canara HSBC Life Insurance Co Limited equity	Insurance	0.23%	Oct 2025	11 mo	+0.02%
75	La Opala RG Limited equity	Consumer Durables	0.23%	Jun 2024	2.3 yrs	-0.02%
76	Bharti Telecom Limited** corporate bond	—	0.20%	Dec 2025	9 mo	0.00%
77	TREPS / cash equivalents Net Receivables/Payables · cash equivalent	—	0.08%	Feb 2014	13 yrs	+0.68%
78	Tata Power Co Limited Sep26 derivative	—	-0.44%	Aug 2026	1 mo	-0.44%
79	Tata Steel Limited Sep26 derivative	—	-0.78%	Aug 2026	1 mo	-0.78%
80	Kotak Mahindra Bank Limited Sep26 derivative	—	-0.99%	Aug 2026	1 mo	-0.99%
81	Axis Bank Limited Sep26 derivative	—	-1.03%	Aug 2026	1 mo	-1.03%
82	Punjab National Bank Sep26 derivative	—	-1.09%	Aug 2026	1 mo	-1.09%
83	Bank of Baroda Sep26 derivative	—	-1.14%	Aug 2026	1 mo	-1.14%
84	Hindalco Industries Limited Sep26 derivative	—	-1.27%	Aug 2026	1 mo	-1.27%
85	Hindustan Aeronautics Limited Sep26 derivative	—	-1.42%	Aug 2026	1 mo	-1.42%
86	State Bank of India Sep26 derivative	—	-1.43%	Aug 2026	1 mo	-1.43%
87	Bandhan Bank Limited Sep26 derivative	—	-1.69%	Aug 2026	1 mo	-1.69%
88	ICICI Bank Limited Sep26 derivative	—	-1.81%	Aug 2026	1 mo	-1.81%
89	Titan Co Limited Sep26 derivative	—	-2.02%	Aug 2026	1 mo	-2.02%
90	HDFC Bank Limited Sep26 derivative	—	-2.18%	Aug 2026	1 mo	-2.18%
91	Bharti Airtel Limited Sep26 derivative	—	-2.27%	Aug 2026	1 mo	-2.27%

Showing 1–91 of 91 rows per page10 25 50all

Largest sectors, Aug 2026 · grey: a year ago

Banks32.2% · 19.3%

Insurance5.1% · 3.1%

Consumer Durables4.5% · 2.8%

Telecom - Services4.0%

Finance3.7% · 2.5%

Pharmaceuticals & Biotechnology2.7% · 2.1%

Aerospace & Defense2.7%

Automobiles2.5% · 2.4%

share of the book05%10%15%20%25%30%35%

By market cap, Aug 2026

Large cap58.9%

Mid cap6.8%

Small / micro cap5.2%

Cash & equivalents5.9%

Other3.7%

share of the book025%50%75%100%

Composition by market cap, month by month — what the fund actually held against what its label says

Large cap 59%
Mid cap 7%
Small / micro 5%
Cash & other 6%

The seven checks, in full

each: the plain claim, where it sits in the category, and — folded — how it is measured and the case against. A flag fires only where headline and record disagree.

P4 Consistency, not a single end date

Beat its category in 28% of three-year stretches, and averaged −1.1 points a year across all of them

109 rolling windows since 2014 · ahead by 0.8 points a year when it won, behind by 1.8 when it lost

What this means. Take every three-year stretch since the fund had a NAV, one starting each month, and ask two things of each: did it beat the typical fund in its category, and by how much. Counting the wins tells you the record does not depend on when you happen to look; averaging the margin tells you whether winning often was worth anything, because four small wins do not pay for one large loss.

How often, and by how much. The count and the average agree. Ahead by 0.8 points a year in the 30 windows it won and behind by 1.8 in the 79 it lost, so the average across all 109 is −1.1 points. The worst window ended Mar 2023, 4.3 points behind.

28%

lowest in categoryhighest in category

37th percentile · below median of 30 funds · category median 42%

windows measured109windows won30average across every window−1.09 pts a year · median −0.93when ahead, by how much+0.82 pts a year over 30 windowswhen behind, by how much−1.81 pts a year over 79 windowsworst window−4.33 pts a year, ended Mar 2023best window+1.61 pts a year, ended Jan 2021non-overlapping windows in that span4 — the rolling count overlaps, this does not

Fund minus category, each rolling three-year window

ahead of categorybehind

Each bar is one window's margin in percentage points a year. The height of the bars, not the count of green ones, is what the average across every window measures.

How it is measured, and the case against

A fund that beats its category in most rolling three-year windows has a record; one that beats it in a few has an end date. How often it won and by how much are different questions, and this card answers both, because a fund can win four windows in five and still be behind across all five.

How often has it beaten its category, across every window?

Why this might matterRolling every three-year window forward month by month gives hundreds of overlapping observations instead of one. A single end date decides a headline five-year figure; the share of windows won cannot be flattered by when you happen to look. The average margin across every window is that share and the payoff multiplied together — win share x average beat plus loss share x average shortfall is exactly the average — so a high share bought with a few ruinous windows cannot hide behind the count.

Why it might notRolling windows overlap heavily, so they are not independent observations and the true sample is far smaller than the count suggests — the card says how many non-overlapping windows the same span holds, and it is usually a handful. A fund that changed manager or mandate carries a record that is only partly its own. The average margin is only as meaningful as the category: where a category is a grab bag (“Other ETFs” holds gold beside equity), a large shortfall says the comparison is wrong, not that the fund is. And none of this forecasts: our own study found the share of windows won does not predict the next three years, and weighting it by payoff gives no reason to think otherwise.

P5 Cost, measured

Regular plan costs 1.32% a year more than Direct

₹28,676 on ₹1 lakh over ten years

What this means. The Regular and Direct plans hold the same portfolio; the Regular one pays a distributor out of your money every day. The gap between the two NAVs is that cost, measured from the NAVs rather than quoted from a document.

1.32 pp a year

costliest in categorycheapest in category

64th percentile · above median of 35 funds · category median 1.45 pp

on ₹1,00,000 over ten years₹28,676Direct vs Regular, annualised9.7% vs 8.4%measured over12 years

How it is measured, and the case against

The Direct plan is the same portfolio, priced differently; the divergence of the two NAVs is the cost, measured rather than quoted.

What does the Regular plan actually cost against its Direct twin?

Why this might matterSame manager, same holdings, same day. The gap between the two NAV series is the one number on this page that is knowable today rather than hoped for, and it compounds for as long as the units are held.

Why it might notA Regular plan buys advice. If that advice stops someone selling in a drawdown it can be worth more than the fee — the cost is visible and the behavioural saving is not, which makes this comparison unfair in exactly one direction.

P1 Churn, and what it bought

Turns over 65% of the portfolio a year

+0.03 pts of excess return per unit of turnover

What this means. How much of the portfolio was bought and sold in a year, computed from what the fund disclosed each month. Trading costs something certain; the extra return it is meant to buy is not.

65% a year

costliest in categorycheapest in category

44th percentile · below median of 30 funds · category median 62%

excess return per unit of turnover+0.03 pts

How it is measured, and the case against

Turnover measured from consecutive disclosures — Σ|Δweight|/2 — costs something certain; the excess return it is meant to buy is not.

Is the trading paying for itself?

Why this might matterAMCs define their own turnover figure inconsistently. This one is computed from what the fund disclosed month to month, so two funds are comparable on it. Read it beside the excess return per unit of turnover.

Why it might notTurnover computed from month-end snapshots misses everything bought and sold inside a month, and a fund forced to sell by redemptions is charged for churn it did not choose.

P2 Conviction or inertia

Typical top-10 holding kept 38 months

What this means. How long a typical top-10 position has been in the top ten. Long-held positions are a decision; a top ten that changes every quarter is a reaction.

38 months

lowest in categoryhighest in category

55th percentile · above median of 30 funds · category median 35 months

active sharenot yet computable — needs index constituent files

How it is measured, and the case against

The median months a top-10 position has been held separates a portfolio somebody chose from one that drifted.

How long does a top-10 position stay a top-10 position?

Why this might matterConcentration is how a manager expresses conviction, and persistence is how long they keep it. Long-held positions with a rising weight are a decision; a top ten that turns over every quarter is a reaction.

Why it might notPersistence without active share is inertia: a portfolio of 166 names that tracks its category closely has diversified away the reason to pay for it. Active share needs index constituent files, which are not loaded yet.

P3 Hit rate of the top ten

5 of 10 top picks beat their peers over the next 6 months, and averaged 1.0 points ahead of them

898 positions judged, one disclosure at a time · ahead by 15.6 points when it won, behind by 13.8 when it lost

What this means. Take each month's ten largest holdings and check whether each one beat the typical stock its category holds over the next six months, and by how much. A blended return can hide two wins and eight losses; a count of wins can hide one position that lost half its value.

How often, and by how much. The count and the average agree. Ahead by 15.6 points in the 451 positions it won and behind by 13.8 in the 447 it lost, so the average across all 898 is +1.0 points. The worst position was INE256A01028 at the Oct 2023 disclosure, 67.1 points behind.

50%

lowest in categoryhighest in category

52th percentile · above median of 30 funds

positions judged898beat the median stock451average across every position+1.01 pts · median +0.05when ahead, by how much+15.57 pts over 451 positionswhen behind, by how much−13.76 pts over 447 positionsworst position−67.07 pts, INE256A01028 at the Oct 2023 disclosurebest position+110.55 pts, INE296A01024 at the May 2020 disclosure

How it is measured, and the case against

A manager's largest bets, judged one by one over the following six months, say more than the fund's blended return — and how far each one beat or missed the median stock says more than counting how many did.

Of its top-10 positions, how often did they beat the category-median stock?

Why this might matterA fund can beat its category on two positions and lose on eight; the hit rate shows the pattern the aggregate hides. The average margin then shows what the hit rate hides in turn: six winners worth a point each do not pay for four losers worth ten, and only the margin says which happened.

Why it might notSix months is short, sizing matters more than counting, and a manager who is right on the biggest position and wrong on nine small ones has done their job — the margins here are unweighted, so they answer the counting question better, not the sizing one. Overlapping disclosures judge the same position again each month it is held, so one long-held winner is counted many times. And this is a description of six months already past, not a forecast of the next six.

P6 Size against edge

₹3,827 Cr; 199% of growth came from outflows

Regular plan expense ratio 2.26% a year

What this means. Where the fund sits by size in its category, and how much of its growth was money arriving rather than the portfolio compounding. A very large fund cannot buy what a small one can; size should buy a lower fee in return.

2.26% TER

costliestcheapest

54th percentile · above median of 37 funds · category median 2.31%

expense ratio, Regular / Direct2.26% / 1.04% · category median 2.31%AUM, Sep 2023 → Aug 2026₹3,406 Cr → ₹3,827 Cr (+4% a year)of that change, from flows rather than returns199% net outflows · NAV +37% over the window

Assets under management, ₹ crore, Mar 2014 – Aug 2026

62 points · months without a factsheet figure use AMFI's quarterly average · Regular-plan expense ratio 2.54% in Jun 2018 → 2.26% in Sep 2026

How it is measured, and the case against

Past a certain size the smaller end of a mandate becomes unreachable, and the fund starts to look like its index; what size should buy in return is a lower expense ratio.

Has the fund outgrown the universe it invests in — and did size buy a lower fee?

Why this might matterSize narrows what the manager can meaningfully hold and should lower what the investor pays. Read the AUM history beside the expense ratio: a fund that has tripled through inflows while its Regular-plan TER sits above the category median has kept the benefit of scale for the house. The flow decomposition says how much of the growth was money arriving rather than the portfolio compounding.

Why it might notScale funds research teams, and plenty of large funds have gone on compounding for decades. Inflows follow performance, so a fund growing fast is usually one that did well; the constraint is real but not automatically binding, and a TER is a ceiling the AMC can cut at any time.

P7 Whose record is this

Run by Rohit Singhania for at least 1.2 yrs

the factsheet archive starts Jul 2025, so this is a floor

What this means. How long the people running it now have been running it, read from the monthly factsheets. A five-year record earned under someone else is not evidence about these managers.

No category distribution for this measure yet.

running it nowRohit Singhania (since at least Jul 2025)share of the fund's life under the current teamnot knowable — the archive starts Jul 2025, so the tenure is a floorchanges of hands in the archive3 — last Feb 2026

Who ran it, month by month · factsheets through Sep 2026

running it nowearlier

Manager	Role	From	To	Fund vs category, those months	3-yr stretches won in tenure
Rohit Singhania	fund manager	by Jul 2025†	now	5.6% vs 3.5% p.a. (+2.10 pp)	—
Shantanu Godambe	fund manager	by Jul 2025†	Sep 2025	0.6% vs −1.0% (+1.55 pp)	—
Preethi R S	fund manager	Dec 2025*	Jan 2026	−0.5% vs −1.7% (+1.16 pp)	—

* dated by first appearance in the archive we hold, not by a date the factsheet printed. † already named on the first factsheet we hold: the stint is at least this long, and its start is not known. Co-managed months count for every manager named; a factsheet names the manager of record, not who made each call. All managers →

How it is measured, and the case against

A record earned under different people is not evidence about these ones.

Does the displayed record predate the people running it?

Why this might matterA five-year figure on a fund whose longest-serving manager joined two years ago is the house's record more than the person's. The tenure here comes from what each monthly factsheet named, so a change of hands is dated to the month it was disclosed, and the fund's return against its category can be read over exactly those months.

Why it might notFund houses have processes, research desks and mandates that outlast individuals, so a manager change is not a reset. Co-managed funds attribute the same months to every named manager, and a factsheet names the manager of record, not necessarily the person making the calls. And the archive we hold starts in Jul 2025: Rohit Singhania was already named on its first sheet, so the tenure here is the floor of what is known, not the month anyone arrived — the record may well belong to the people running it now.

Tracking gap

the NAV the fund published, against the NAV its last disclosed portfolio would have produced at each day's prices

No signal. About 29% of this fund is outside listed Indian equity — a foreign or derivative sleeve, or debt — and there are no daily prices to replicate it with. A wrong signal would be worse than none.

Share classes

latest NAV per AMFI code

Plan	Option	NAV	Date
direct DSP Dynamic Asset Allocation Fund - Direct Plan - Growth	growth	₹33.22	21 Sep 2026
direct DSP Dynamic Asset Allocation Fund - Direct Plan - IDCW - Monthly	idcw	₹16.69	21 Sep 2026
regular DSP Dynamic Asset Allocation Fund - Regular Plan - Growth	growth	₹28.58	21 Sep 2026
regular DSP Dynamic Asset Allocation Fund - Regular Plan - IDCW - Monthly	idcw	₹13.90	21 Sep 2026

The Direct / Regular gap, in rupees

Direct growth NAV: ₹33.22
Regular growth NAV: ₹28.58
NAV divergence to date: 16.2% — same portfolio, priced differently
Regular costs more by: 1.32% a year
On ₹1,00,000 over ten years: ₹28,676

A Regular plan buys advice. The fee is visible and the behavioural saving is not; both are shown, neither is netted off.

Compare with

same category, by size

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