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ICICI Prudential · Growth

ICICI Prudential India Recovery Fund - Series 1

Growth Direct plan, IDCW launched 9 Mar 2015 close-ended

At a glance

the fund as it stands today, from public disclosures

NAV, 1 Oct 2018
₹9.95
−1.39% since 28 Sep 2018
1 year
−21.0%
return
3 years
1.1%
a year
5 years
not enough history
Since launch
−0.3%
a year, over 3.5 years
Assets (AUM)
₹5 Cr
Dec 2018 AMFI quarterly average
Expense ratio, Direct / Regular
2.10% / 2.66%
a year, as of Oct 2018
Holdings
17
top ten are 110% of the fund · Sep 2018
Disclosed history
3.5 yrs
Mar 2015 – Sep 2018 · 3 of 11 checks could run
Fund managers
not parsed from the factsheets yet

What only Anveshan can tell you

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

P5Cost, measured

Cannot be measured: needs both a Direct and a Regular growth class.

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.

See how it is measured →
P7Whose record

Not known yet: no factsheet named a manager for this fund.

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.

See what is missing →
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 0% of three-year stretches, and averaged −7.0 points a year across all of them

8 rolling windows since 2015 · behind by 7.0 when it lost points a year — and never won one. 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, IDCW class · as of 1 Oct 2018

Month-end NAV, indexed to 100 at Mar 2015

100120140Mar 2015Feb 2016Jan 2017Dec 2017Oct 2018Mar 2015: NAV ₹10.04Apr 2015: NAV ₹9.89May 2015: NAV ₹10.19Jun 2015: NAV ₹10.02Jul 2015: NAV ₹10.40Aug 2015: NAV ₹9.73Sep 2015: NAV ₹9.63Oct 2015: NAV ₹9.80Nov 2015: NAV ₹10.04Dec 2015: NAV ₹10.00Jan 2016: NAV ₹9.22Feb 2016: NAV ₹8.51Mar 2016: NAV ₹9.49Apr 2016: NAV ₹9.73May 2016: NAV ₹10.11Jun 2016: NAV ₹10.70Jul 2016: NAV ₹11.35Aug 2016: NAV ₹11.74Sep 2016: NAV ₹11.79Oct 2016: NAV ₹11.97Nov 2016: NAV ₹11.14Dec 2016: NAV ₹10.97Jan 2017: NAV ₹11.79Feb 2017: NAV ₹12.33Mar 2017: NAV ₹12.75Apr 2017: NAV ₹12.49May 2017: NAV ₹12.45Jun 2017: NAV ₹12.44Jul 2017: NAV ₹13.21Aug 2017: NAV ₹12.68Sep 2017: NAV ₹12.61Oct 2017: NAV ₹13.56Nov 2017: NAV ₹13.89Dec 2017: NAV ₹14.24Jan 2018: NAV ₹13.37Feb 2018: NAV ₹12.87Mar 2018: NAV ₹10.78Apr 2018: NAV ₹11.34May 2018: NAV ₹10.98Jun 2018: NAV ₹10.42Jul 2018: NAV ₹10.79Aug 2018: NAV ₹11.07Sep 2018: NAV ₹10.09Oct 2018: NAV ₹9.95
100120140Mar 2015Feb 2016Jan 2017Dec 2017Oct 2018Mar 2015: NAV ₹10.04Apr 2015: NAV ₹9.89May 2015: NAV ₹10.19Jun 2015: NAV ₹10.02Jul 2015: NAV ₹10.40Aug 2015: NAV ₹9.73Sep 2015: NAV ₹9.63Oct 2015: NAV ₹9.80Nov 2015: NAV ₹10.04Dec 2015: NAV ₹10.00Jan 2016: NAV ₹9.22Feb 2016: NAV ₹8.51Mar 2016: NAV ₹9.49Apr 2016: NAV ₹9.73May 2016: NAV ₹10.11Jun 2016: NAV ₹10.70Jul 2016: NAV ₹11.35Aug 2016: NAV ₹11.74Sep 2016: NAV ₹11.79Oct 2016: NAV ₹11.97Nov 2016: NAV ₹11.14Dec 2016: NAV ₹10.97Jan 2017: NAV ₹11.79Feb 2017: NAV ₹12.33Mar 2017: NAV ₹12.75Apr 2017: NAV ₹12.49May 2017: NAV ₹12.45Jun 2017: NAV ₹12.44Jul 2017: NAV ₹13.21Aug 2017: NAV ₹12.68Sep 2017: NAV ₹12.61Oct 2017: NAV ₹13.56Nov 2017: NAV ₹13.89Dec 2017: NAV ₹14.24Jan 2018: NAV ₹13.37Feb 2018: NAV ₹12.87Mar 2018: NAV ₹10.78Apr 2018: NAV ₹11.34May 2018: NAV ₹10.98Jun 2018: NAV ₹10.42Jul 2018: NAV ₹10.79Aug 2018: NAV ₹11.07Sep 2018: NAV ₹10.09Oct 2018: NAV ₹9.95
100120140Mar 2015Feb 2016Jan 2017Dec 2017Oct 2018Mar 2015: NAV ₹10.04Apr 2015: NAV ₹9.89May 2015: NAV ₹10.19Jun 2015: NAV ₹10.02Jul 2015: NAV ₹10.40Aug 2015: NAV ₹9.73Sep 2015: NAV ₹9.63Oct 2015: NAV ₹9.80Nov 2015: NAV ₹10.04Dec 2015: NAV ₹10.00Jan 2016: NAV ₹9.22Feb 2016: NAV ₹8.51Mar 2016: NAV ₹9.49Apr 2016: NAV ₹9.73May 2016: NAV ₹10.11Jun 2016: NAV ₹10.70Jul 2016: NAV ₹11.35Aug 2016: NAV ₹11.74Sep 2016: NAV ₹11.79Oct 2016: NAV ₹11.97Nov 2016: NAV ₹11.14Dec 2016: NAV ₹10.97Jan 2017: NAV ₹11.79Feb 2017: NAV ₹12.33Mar 2017: NAV ₹12.75Apr 2017: NAV ₹12.49May 2017: NAV ₹12.45Jun 2017: NAV ₹12.44Jul 2017: NAV ₹13.21Aug 2017: NAV ₹12.68Sep 2017: NAV ₹12.61Oct 2017: NAV ₹13.56Nov 2017: NAV ₹13.89Dec 2017: NAV ₹14.24Jan 2018: NAV ₹13.37Feb 2018: NAV ₹12.87Mar 2018: NAV ₹10.78Apr 2018: NAV ₹11.34May 2018: NAV ₹10.98Jun 2018: NAV ₹10.42Jul 2018: NAV ₹10.79Aug 2018: NAV ₹11.07Sep 2018: NAV ₹10.09Oct 2018: NAV ₹9.95

44 month-ends · ₹10.04 → ₹9.95, 1.0× since Mar 2015

Deepest fall (max drawdown)
not computed
Worst month
not computed
Days to recover
not computed
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

Sep 2018 disclosure · 17 lines · when each was first held and the change over the last three disclosures

#HoldingSectorWeightFirst heldHeld for3-mo change
1 Net Current Assets
cash equivalent
— 52.28% Apr 2015 3.5 yrs +36.92%
2 TREPS / cash equivalents
CBLO · government security
— 29.18% Mar 2015 3.6 yrs +12.97%
3 Tata Steel Ltd.
equity
Ferrous Metals 6.32% Sep 2016 2.1 yrs +0.36%
4 Motherson Sumi Systems Ltd.
equity
Auto Ancillaries 6.23% Aug 2015 3.2 yrs -0.44%
5 Orient Electric Ltd.
equity
Consumer Durables 3.07% Apr 2018 6 mo -0.31%
6 TVS Motor Company Ltd.
equity
Auto 2.93% Feb 2017 1.7 yrs -1.47%
7 Ashoka Buildcon Ltd.
equity
Construction Project 2.77% Mar 2015 3.6 yrs -4.68%
8 Elgi Equipments Ltd.
equity
Industrial Products 2.74% Mar 2015 3.6 yrs -1.66%
9 Larsen & Toubro Ltd.
equity
Construction Project 2.50% Nov 2015 2.9 yrs +0.08%
10 PI Industries Ltd.
equity
Pesticides 2.03% Aug 2017 1.2 yrs -0.04%
11 TREPS / cash equivalents
Cash Margin - Derivatives · cash equivalent
— 1.90% May 2017 1.4 yrs +0.30%
12 CESC Ltd.
equity
Power 1.89% Dec 2015 2.8 yrs -2.88%
13 Gujarat Mineral Development Corporation Ltd.
equity
Minerals/Mining 1.49% Mar 2015 3.6 yrs -0.27%
14 Triveni Turbine Ltd.
equity
Industrial Capital Goods 0.68% Jul 2016 2.3 yrs -1.35%
15 NTPC Ltd.
equity
Power 0.43% Mar 2015 3.6 yrs -3.28%
16 Ksk Energy Ventures Ltd.
equity
Power 0.05% Mar 2015 3.6 yrs -0.03%
17 Nifty 50 Index $$
derivative
— -16.48% Mar 2018 7 mo -0.93%
Showing 1–17 of 17 rows per page102550all

Largest sectors, Sep 2018 · grey: a year ago

Ferrous Metals6.3% · 4.7%
Auto Ancillaries6.2% · 6.5%
Construction Project5.3% · 15.6%
Consumer Durables3.1% · 5.1%
Auto2.9% · 4.3%
Industrial Products2.7% · 2.9%
Power2.4% · 10.7%
Pesticides2.0%
share of the book05%10%

By market cap, Sep 2018

Large cap12.1%
Mid cap2.0%
Small / micro cap6.5%
Cash & equivalents54.2%
Not classified12.5%
Other12.7%
share of the book025%50%75%100%

"Not classified" is what no cap tier could be inferred for — newly listed names, or lines without an ISIN.

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

Large cap: 19% → 12%Mid cap: 5% → 2%Small / micro: 4% → 6%Cash & other: 0% → 54%25%50%75%Mar 2015Jan 2017Sep 2018
Large cap: 19% → 12%Mid cap: 5% → 2%Small / micro: 4% → 6%Cash & other: 0% → 54%25%50%75%Large cap 12%Mid cap 2%Small / micro 6%Cash & other 54%Mar 2015Jan 2017Sep 2018
Large cap: 19% → 12%Mid cap: 5% → 2%Small / micro: 4% → 6%Cash & other: 0% → 54%25%50%75%Large cap 12%Mid cap 2%Small / micro 6%Cash & other 54%Mar 2015Jan 2017Sep 2018
  • Large cap 12%
  • Mid cap 2%
  • Small / micro 6%
  • Cash & other 54%

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 0% of three-year stretches, and averaged −7.0 points a year across all of them

8 rolling windows since 2015 · behind by 7.0 when it lost points a year — and never won one

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. It did not win one of the 8; the average across all of them is −7.0 points. The worst window ended Oct 2018, 7.6 points behind.

No category distribution for this measure yet.
windows measured8windows won0average across every window−7.00 pts a year · median −6.87when behind, by how much−7.00 pts a year over 8 windowsworst window−7.55 pts a year, ended Oct 2018best window−6.64 pts a year, ended Apr 2018non-overlapping windows in that span1 — the rolling count overlaps, this does not
Thin record. Only 8 rolling windows — under six years of NAV. The share is shown because it was measured; it is a start, not a record, and does not qualify for the home shelf until 36 windows exist.

Fund minus category, each rolling three-year window

-7.6 pp0.0 pp+7.6 ppMar 2018: fund 2.4% vs category 9.2% (3-year CAGR)Apr 2018: fund 4.7% vs category 11.3% (3-year CAGR)May 2018: fund 2.5% vs category 9.3% (3-year CAGR)Jun 2018: fund 1.3% vs category 8.5% (3-year CAGR)Jul 2018: fund 1.2% vs category 8.0% (3-year CAGR)Aug 2018: fund 4.4% vs category 11.3% (3-year CAGR)Sep 2018: fund 1.6% vs category 8.9% (3-year CAGR)Oct 2018: fund 0.5% vs category 8.1% (3-year CAGR)Mar 2018Jul 2018Oct 2018
-7.6 pp0.0 pp+7.6 ppMar 2018: fund 2.4% vs category 9.2% (3-year CAGR)Apr 2018: fund 4.7% vs category 11.3% (3-year CAGR)May 2018: fund 2.5% vs category 9.3% (3-year CAGR)Jun 2018: fund 1.3% vs category 8.5% (3-year CAGR)Jul 2018: fund 1.2% vs category 8.0% (3-year CAGR)Aug 2018: fund 4.4% vs category 11.3% (3-year CAGR)Sep 2018: fund 1.6% vs category 8.9% (3-year CAGR)Oct 2018: fund 0.5% vs category 8.1% (3-year CAGR)Mar 2018Jul 2018Oct 2018
-7.6 pp0.0 pp+7.6 ppMar 2018: fund 2.4% vs category 9.2% (3-year CAGR)Apr 2018: fund 4.7% vs category 11.3% (3-year CAGR)May 2018: fund 2.5% vs category 9.3% (3-year CAGR)Jun 2018: fund 1.3% vs category 8.5% (3-year CAGR)Jul 2018: fund 1.2% vs category 8.0% (3-year CAGR)Aug 2018: fund 4.4% vs category 11.3% (3-year CAGR)Sep 2018: fund 1.6% vs category 8.9% (3-year CAGR)Oct 2018: fund 0.5% vs category 8.1% (3-year CAGR)Mar 2018Jul 2018Oct 2018
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
Not measurable yet. Needs a Direct and a Regular growth class with overlapping NAV history.

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.

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 83% of the portfolio a year

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.

No category distribution for this measure yet.
excess return per unit of turnoverneeds the category 1-year median — not computed yet
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 35 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.

No category distribution for this measure yet.
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

6 of 10 top picks beat their peers over the next 6 months, and averaged 2.1 points ahead of them

420 positions judged, one disclosure at a time · ahead by 12.9 points when it won, behind by 11.5 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 12.9 points in the 233 positions it won and behind by 11.5 in the 187 it lost, so the average across all 420 is +2.1 points. The worst position was INE775A01035 at the Jul 2018 disclosure, 46.5 points behind.

No category distribution for this measure yet.
positions judged420beat the median stock233average across every position+2.08 pts · median +1.04when ahead, by how much+12.90 pts over 233 positionswhen behind, by how much−11.47 pts over 187 positionsworst position−46.55 pts, INE775A01035 at the Jul 2018 disclosurebest position+50.08 pts, INE155A01022 at the Feb 2016 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

₹5 Cr

Regular plan expense ratio 2.66% 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.

No category distribution for this measure yet.
expense ratio, Regular / Direct2.66% / 2.10% · category median 1.42%AUM, Dec 2015 → Dec 2018₹237 Cr → ₹5 Cr (−72% a year)

Assets under management, ₹ crore, Mar 2015 – Dec 2018

0100200300Mar 2015Mar 2016Mar 2017Mar 2018Dec 2018Mar 2015: ₹13 Cr (amfi-aaum)Jun 2015: ₹241 Cr (amfi-aaum)Sep 2015: ₹241 Cr (amfi-aaum)Dec 2015: ₹237 Cr (amfi-aaum)Mar 2016: ₹219 Cr (amfi-aaum)Jun 2016: ₹236 Cr (amfi-aaum)Sep 2016: ₹272 Cr (amfi-aaum)Dec 2016: ₹270 Cr (amfi-aaum)Mar 2017: ₹284 Cr (amfi-aaum)Jun 2017: ₹297 Cr (amfi-aaum)Sep 2017: ₹299 Cr (amfi-aaum)Dec 2017: ₹316 Cr (amfi-aaum)Mar 2018: ₹300 Cr (amfi-aaum)Jun 2018: ₹254 Cr (amfi-aaum)Sep 2018: ₹247 Cr (amfi-aaum)Dec 2018: ₹5 Cr (amfi-aaum)
0100200300Mar 2015Mar 2016Mar 2017Mar 2018Dec 2018Mar 2015: ₹13 Cr (amfi-aaum)Jun 2015: ₹241 Cr (amfi-aaum)Sep 2015: ₹241 Cr (amfi-aaum)Dec 2015: ₹237 Cr (amfi-aaum)Mar 2016: ₹219 Cr (amfi-aaum)Jun 2016: ₹236 Cr (amfi-aaum)Sep 2016: ₹272 Cr (amfi-aaum)Dec 2016: ₹270 Cr (amfi-aaum)Mar 2017: ₹284 Cr (amfi-aaum)Jun 2017: ₹297 Cr (amfi-aaum)Sep 2017: ₹299 Cr (amfi-aaum)Dec 2017: ₹316 Cr (amfi-aaum)Mar 2018: ₹300 Cr (amfi-aaum)Jun 2018: ₹254 Cr (amfi-aaum)Sep 2018: ₹247 Cr (amfi-aaum)Dec 2018: ₹5 Cr (amfi-aaum)
0100200300Mar 2015Mar 2016Mar 2017Mar 2018Dec 2018Mar 2015: ₹13 Cr (amfi-aaum)Jun 2015: ₹241 Cr (amfi-aaum)Sep 2015: ₹241 Cr (amfi-aaum)Dec 2015: ₹237 Cr (amfi-aaum)Mar 2016: ₹219 Cr (amfi-aaum)Jun 2016: ₹236 Cr (amfi-aaum)Sep 2016: ₹272 Cr (amfi-aaum)Dec 2016: ₹270 Cr (amfi-aaum)Mar 2017: ₹284 Cr (amfi-aaum)Jun 2017: ₹297 Cr (amfi-aaum)Sep 2017: ₹299 Cr (amfi-aaum)Dec 2017: ₹316 Cr (amfi-aaum)Mar 2018: ₹300 Cr (amfi-aaum)Jun 2018: ₹254 Cr (amfi-aaum)Sep 2018: ₹247 Cr (amfi-aaum)Dec 2018: ₹5 Cr (amfi-aaum)

16 points · months without a factsheet figure use AMFI's quarterly average · Regular-plan expense ratio 2.74% in Jun 2018 → 2.66% in Oct 2018

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
Not measurable yet. Needs manager names from the monthly factsheet archive; none were parsed for this fund yet.

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.

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.

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 67% 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

PlanOptionNAVDate
direct
ICICI Prudential India Recovery Fund - Series 1 Direct Dividend
idcw₹9.951 Oct 2018
regular
ICICI Prudential India Recovery Fund - Series 1 Dividend
idcw₹9.461 Oct 2018
The Direct / Regular gap, in rupees

This fund does not have both a Direct and a Regular growth class in the data, so the gap cannot be measured.

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