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.
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.
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.
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.
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
22
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
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 51–91 of 91 · page 2 of 2rows per page102550all
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.
P4Consistency, 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.
P5Cost, 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.
P1Churn, 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.
P2Conviction 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.
P3Hit 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.
P6Size 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.
P7Whose 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
* 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.