ANVESHAN
Theme
Create account
ICICI Prudential · Growth

ICICI Prudential Value Fund - Series 2

Growth Direct plan, IDCW launched 18 Nov 2013 close-ended

At a glance

the fund as it stands today, from public disclosures

NAV, 28 Dec 2018
₹11.51
+0.09% since 30 Nov 2018
1 year
−22.3%
return
3 years
−7.1%
a year
5 years
not enough history
Since launch
−5.0%
a year, over 4.2 years
Assets (AUM)
₹147 Cr
Dec 2018 AMFI quarterly average
Expense ratio, Direct / Regular
0.11% / 2.43%
a year, as of Dec 2018
Holdings
2
top ten are 100% of the fund · Dec 2018
Disclosed history
4.8 yrs
Dec 2013 – Dec 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 −16.0 points a year across all of them

16 rolling windows since 2014 · behind by 16.0 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 28 Dec 2018

Month-end NAV, indexed to 100 at Sep 2014

8090100110Sep 2014Oct 2015Nov 2016Dec 2017Dec 2018Sep 2014: NAV ₹14.32Oct 2014: NAV ₹14.87Nov 2014: NAV ₹15.48Dec 2014: NAV ₹15.60Jan 2015: NAV ₹15.28Feb 2015: NAV ₹15.42Mar 2015: NAV ₹14.94Apr 2015: NAV ₹14.76May 2015: NAV ₹15.15Jun 2015: NAV ₹14.99Jul 2015: NAV ₹15.66Aug 2015: NAV ₹14.11Sep 2015: NAV ₹14.07Oct 2015: NAV ₹14.16Nov 2015: NAV ₹14.51Dec 2015: NAV ₹14.33Jan 2016: NAV ₹13.51Feb 2016: NAV ₹12.37Mar 2016: NAV ₹13.58Apr 2016: NAV ₹12.92May 2016: NAV ₹12.30Jun 2016: NAV ₹12.12Jul 2016: NAV ₹12.85Aug 2016: NAV ₹12.52Sep 2016: NAV ₹12.52Oct 2016: NAV ₹12.87Nov 2016: NAV ₹12.29Dec 2016: NAV ₹11.99Jan 2017: NAV ₹12.56Feb 2017: NAV ₹13.15Mar 2017: NAV ₹13.70Apr 2017: NAV ₹13.98May 2017: NAV ₹13.56Jun 2017: NAV ₹13.57Jul 2017: NAV ₹13.38Aug 2017: NAV ₹13.07Sep 2017: NAV ₹13.15Oct 2017: NAV ₹14.20Nov 2017: NAV ₹14.34Dec 2017: NAV ₹14.80Jan 2018: NAV ₹14.05Feb 2018: NAV ₹13.54Mar 2018: NAV ₹11.65Apr 2018: NAV ₹11.75May 2018: NAV ₹11.56Jun 2018: NAV ₹11.11Jul 2018: NAV ₹11.44Aug 2018: NAV ₹11.69Sep 2018: NAV ₹11.40Oct 2018: NAV ₹11.47Nov 2018: NAV ₹11.50Dec 2018: NAV ₹11.51
8090100110Sep 2014Oct 2015Nov 2016Dec 2017Dec 2018Sep 2014: NAV ₹14.32Oct 2014: NAV ₹14.87Nov 2014: NAV ₹15.48Dec 2014: NAV ₹15.60Jan 2015: NAV ₹15.28Feb 2015: NAV ₹15.42Mar 2015: NAV ₹14.94Apr 2015: NAV ₹14.76May 2015: NAV ₹15.15Jun 2015: NAV ₹14.99Jul 2015: NAV ₹15.66Aug 2015: NAV ₹14.11Sep 2015: NAV ₹14.07Oct 2015: NAV ₹14.16Nov 2015: NAV ₹14.51Dec 2015: NAV ₹14.33Jan 2016: NAV ₹13.51Feb 2016: NAV ₹12.37Mar 2016: NAV ₹13.58Apr 2016: NAV ₹12.92May 2016: NAV ₹12.30Jun 2016: NAV ₹12.12Jul 2016: NAV ₹12.85Aug 2016: NAV ₹12.52Sep 2016: NAV ₹12.52Oct 2016: NAV ₹12.87Nov 2016: NAV ₹12.29Dec 2016: NAV ₹11.99Jan 2017: NAV ₹12.56Feb 2017: NAV ₹13.15Mar 2017: NAV ₹13.70Apr 2017: NAV ₹13.98May 2017: NAV ₹13.56Jun 2017: NAV ₹13.57Jul 2017: NAV ₹13.38Aug 2017: NAV ₹13.07Sep 2017: NAV ₹13.15Oct 2017: NAV ₹14.20Nov 2017: NAV ₹14.34Dec 2017: NAV ₹14.80Jan 2018: NAV ₹14.05Feb 2018: NAV ₹13.54Mar 2018: NAV ₹11.65Apr 2018: NAV ₹11.75May 2018: NAV ₹11.56Jun 2018: NAV ₹11.11Jul 2018: NAV ₹11.44Aug 2018: NAV ₹11.69Sep 2018: NAV ₹11.40Oct 2018: NAV ₹11.47Nov 2018: NAV ₹11.50Dec 2018: NAV ₹11.51
8090100110Sep 2014Oct 2015Nov 2016Dec 2017Dec 2018Sep 2014: NAV ₹14.32Oct 2014: NAV ₹14.87Nov 2014: NAV ₹15.48Dec 2014: NAV ₹15.60Jan 2015: NAV ₹15.28Feb 2015: NAV ₹15.42Mar 2015: NAV ₹14.94Apr 2015: NAV ₹14.76May 2015: NAV ₹15.15Jun 2015: NAV ₹14.99Jul 2015: NAV ₹15.66Aug 2015: NAV ₹14.11Sep 2015: NAV ₹14.07Oct 2015: NAV ₹14.16Nov 2015: NAV ₹14.51Dec 2015: NAV ₹14.33Jan 2016: NAV ₹13.51Feb 2016: NAV ₹12.37Mar 2016: NAV ₹13.58Apr 2016: NAV ₹12.92May 2016: NAV ₹12.30Jun 2016: NAV ₹12.12Jul 2016: NAV ₹12.85Aug 2016: NAV ₹12.52Sep 2016: NAV ₹12.52Oct 2016: NAV ₹12.87Nov 2016: NAV ₹12.29Dec 2016: NAV ₹11.99Jan 2017: NAV ₹12.56Feb 2017: NAV ₹13.15Mar 2017: NAV ₹13.70Apr 2017: NAV ₹13.98May 2017: NAV ₹13.56Jun 2017: NAV ₹13.57Jul 2017: NAV ₹13.38Aug 2017: NAV ₹13.07Sep 2017: NAV ₹13.15Oct 2017: NAV ₹14.20Nov 2017: NAV ₹14.34Dec 2017: NAV ₹14.80Jan 2018: NAV ₹14.05Feb 2018: NAV ₹13.54Mar 2018: NAV ₹11.65Apr 2018: NAV ₹11.75May 2018: NAV ₹11.56Jun 2018: NAV ₹11.11Jul 2018: NAV ₹11.44Aug 2018: NAV ₹11.69Sep 2018: NAV ₹11.40Oct 2018: NAV ₹11.47Nov 2018: NAV ₹11.50Dec 2018: NAV ₹11.51

52 month-ends · ₹14.32 → ₹11.51, 0.8× since Sep 2014

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

Dec 2018 disclosure · 2 lines · when each was first held and the change over the last three disclosures

#HoldingSectorWeightFirst heldHeld for3-mo change
1 TREPS / cash equivalents
TREPS · money market
— 96.16% Dec 2018 1 mo +96.16%
2 Net Current Assets
cash equivalent
— 3.84% Apr 2015 3.8 yrs -35.76%

Largest sectors, Dec 2018 · grey: a year ago

Not yet computable. Sector labels come from the disclosures; none were mapped for this fund.

By market cap, Dec 2018

Cash & equivalents100.0%
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: 20% → 0%Mid cap: 19% → 0%Small / micro: 7% → 0%Cash & other: 0% → 100%25%50%75%Dec 2013Sep 2016Dec 2018
Large cap: 20% → 0%Mid cap: 19% → 0%Small / micro: 7% → 0%Cash & other: 0% → 100%25%50%75%Large cap 0%Mid cap 0%Small / micro 0%Cash & other 100%Dec 2013Sep 2016Dec 2018
Large cap: 20% → 0%Mid cap: 19% → 0%Small / micro: 7% → 0%Cash & other: 0% → 100%25%50%75%Large cap 0%Mid cap 0%Small / micro 0%Cash & other 100%Dec 2013Sep 2016Dec 2018
  • Large cap 0%
  • Mid cap 0%
  • Small / micro 0%
  • Cash & other 100%

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 −16.0 points a year across all of them

16 rolling windows since 2014 · behind by 16.0 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 16; the average across all of them is −16.0 points. The worst window ended Apr 2018, 18.6 points behind.

No category distribution for this measure yet.
windows measured16windows won0average across every window−16.04 pts a year · median −15.75when behind, by how much−16.04 pts a year over 16 windowsworst window−18.63 pts a year, ended Apr 2018best window−13.82 pts a year, ended Jan 2018non-overlapping windows in that span1 — the rolling count overlaps, this does not
Thin record. Only 16 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

-18.6 pp0.0 pp+18.6 ppSep 2017: fund -2.8% vs category 12.2% (3-year CAGR)Oct 2017: fund -1.5% vs category 13.5% (3-year CAGR)Nov 2017: fund -2.5% vs category 12.0% (3-year CAGR)Dec 2017: fund -1.7% vs category 13.0% (3-year CAGR)Jan 2018: fund -2.8% vs category 11.1% (3-year CAGR)Feb 2018: fund -4.2% vs category 9.7% (3-year CAGR)Mar 2018: fund -8.0% vs category 9.2% (3-year CAGR)Apr 2018: fund -7.3% vs category 11.3% (3-year CAGR)May 2018: fund -8.6% vs category 9.3% (3-year CAGR)Jun 2018: fund -9.5% vs category 8.5% (3-year CAGR)Jul 2018: fund -9.9% vs category 8.0% (3-year CAGR)Aug 2018: fund -6.1% vs category 11.3% (3-year CAGR)Sep 2018: fund -6.8% vs category 8.9% (3-year CAGR)Oct 2018: fund -6.8% vs category 8.1% (3-year CAGR)Nov 2018: fund -7.5% vs category 8.3% (3-year CAGR)Dec 2018: fund -7.0% vs category 9.2% (3-year CAGR)Sep 2017May 2018Dec 2018
-18.6 pp0.0 pp+18.6 ppSep 2017: fund -2.8% vs category 12.2% (3-year CAGR)Oct 2017: fund -1.5% vs category 13.5% (3-year CAGR)Nov 2017: fund -2.5% vs category 12.0% (3-year CAGR)Dec 2017: fund -1.7% vs category 13.0% (3-year CAGR)Jan 2018: fund -2.8% vs category 11.1% (3-year CAGR)Feb 2018: fund -4.2% vs category 9.7% (3-year CAGR)Mar 2018: fund -8.0% vs category 9.2% (3-year CAGR)Apr 2018: fund -7.3% vs category 11.3% (3-year CAGR)May 2018: fund -8.6% vs category 9.3% (3-year CAGR)Jun 2018: fund -9.5% vs category 8.5% (3-year CAGR)Jul 2018: fund -9.9% vs category 8.0% (3-year CAGR)Aug 2018: fund -6.1% vs category 11.3% (3-year CAGR)Sep 2018: fund -6.8% vs category 8.9% (3-year CAGR)Oct 2018: fund -6.8% vs category 8.1% (3-year CAGR)Nov 2018: fund -7.5% vs category 8.3% (3-year CAGR)Dec 2018: fund -7.0% vs category 9.2% (3-year CAGR)Sep 2017May 2018Dec 2018
-18.6 pp0.0 pp+18.6 ppSep 2017: fund -2.8% vs category 12.2% (3-year CAGR)Oct 2017: fund -1.5% vs category 13.5% (3-year CAGR)Nov 2017: fund -2.5% vs category 12.0% (3-year CAGR)Dec 2017: fund -1.7% vs category 13.0% (3-year CAGR)Jan 2018: fund -2.8% vs category 11.1% (3-year CAGR)Feb 2018: fund -4.2% vs category 9.7% (3-year CAGR)Mar 2018: fund -8.0% vs category 9.2% (3-year CAGR)Apr 2018: fund -7.3% vs category 11.3% (3-year CAGR)May 2018: fund -8.6% vs category 9.3% (3-year CAGR)Jun 2018: fund -9.5% vs category 8.5% (3-year CAGR)Jul 2018: fund -9.9% vs category 8.0% (3-year CAGR)Aug 2018: fund -6.1% vs category 11.3% (3-year CAGR)Sep 2018: fund -6.8% vs category 8.9% (3-year CAGR)Oct 2018: fund -6.8% vs category 8.1% (3-year CAGR)Nov 2018: fund -7.5% vs category 8.3% (3-year CAGR)Dec 2018: fund -7.0% vs category 9.2% (3-year CAGR)Sep 2017May 2018Dec 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 84% 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
Not measurable yet. Needs the holdings history for this fund; not computed yet.

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.

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, yet averaged 0.2 points behind them

558 positions judged, one disclosure at a time · ahead by 12.5 points when it won, behind by 13.5 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. It won more positions than it lost, but the losses were bigger. Ahead by 12.5 points in the 285 positions it won and behind by 13.5 in the 273 it lost, so the average across all 558 is −0.2 points. The worst position was INE669C01028 at the Jan 2015 disclosure, 65.1 points behind. Read only the share of positions won and you read this fund backwards.

No category distribution for this measure yet.
positions judged558beat the median stock285average across every position−0.18 pts · median +0.21when ahead, by how much+12.51 pts over 285 positionswhen behind, by how much−13.53 pts over 273 positionsworst position−65.10 pts, INE669C01028 at the Jan 2015 disclosurebest position+60.83 pts, INE171A01029 at the Apr 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

₹147 Cr; 73% of growth came from outflows

Regular plan expense ratio 2.43% 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 / Direct2.43% / 0.11% · category median 1.42%AUM, Dec 2015 → Dec 2018₹552 Cr → ₹147 Cr (−36% a year)of that change, from flows rather than returns73% net outflows · NAV −20% over the window

Assets under management, ₹ crore, Dec 2013 – Dec 2018

200400600Dec 2013Mar 2015Sep 2016Dec 2017Dec 2018Dec 2013: ₹113 Cr (amfi-aaum)Mar 2014: ₹405 Cr (amfi-aaum)Jun 2014: ₹482 Cr (amfi-aaum)Sep 2014: ₹552 Cr (amfi-aaum)Dec 2014: ₹587 Cr (amfi-aaum)Mar 2015: ₹603 Cr (amfi-aaum)Jun 2015: ₹584 Cr (amfi-aaum)Sep 2015: ₹581 Cr (amfi-aaum)Dec 2015: ₹552 Cr (amfi-aaum)Mar 2016: ₹512 Cr (amfi-aaum)Jun 2016: ₹480 Cr (amfi-aaum)Sep 2016: ₹475 Cr (amfi-aaum)Dec 2016: ₹383 Cr (amfi-aaum)Mar 2017: ₹174 Cr (amfi-aaum)Jun 2017: ₹183 Cr (amfi-aaum)Sep 2017: ₹179 Cr (amfi-aaum)Dec 2017: ₹188 Cr (amfi-aaum)Mar 2018: ₹178 Cr (amfi-aaum)Jun 2018: ₹151 Cr (amfi-aaum)Sep 2018: ₹149 Cr (amfi-aaum)Dec 2018: ₹147 Cr (amfi-aaum)
200400600Dec 2013Mar 2015Sep 2016Dec 2017Dec 2018Dec 2013: ₹113 Cr (amfi-aaum)Mar 2014: ₹405 Cr (amfi-aaum)Jun 2014: ₹482 Cr (amfi-aaum)Sep 2014: ₹552 Cr (amfi-aaum)Dec 2014: ₹587 Cr (amfi-aaum)Mar 2015: ₹603 Cr (amfi-aaum)Jun 2015: ₹584 Cr (amfi-aaum)Sep 2015: ₹581 Cr (amfi-aaum)Dec 2015: ₹552 Cr (amfi-aaum)Mar 2016: ₹512 Cr (amfi-aaum)Jun 2016: ₹480 Cr (amfi-aaum)Sep 2016: ₹475 Cr (amfi-aaum)Dec 2016: ₹383 Cr (amfi-aaum)Mar 2017: ₹174 Cr (amfi-aaum)Jun 2017: ₹183 Cr (amfi-aaum)Sep 2017: ₹179 Cr (amfi-aaum)Dec 2017: ₹188 Cr (amfi-aaum)Mar 2018: ₹178 Cr (amfi-aaum)Jun 2018: ₹151 Cr (amfi-aaum)Sep 2018: ₹149 Cr (amfi-aaum)Dec 2018: ₹147 Cr (amfi-aaum)
200400600Dec 2013Mar 2015Sep 2016Dec 2017Dec 2018Dec 2013: ₹113 Cr (amfi-aaum)Mar 2014: ₹405 Cr (amfi-aaum)Jun 2014: ₹482 Cr (amfi-aaum)Sep 2014: ₹552 Cr (amfi-aaum)Dec 2014: ₹587 Cr (amfi-aaum)Mar 2015: ₹603 Cr (amfi-aaum)Jun 2015: ₹584 Cr (amfi-aaum)Sep 2015: ₹581 Cr (amfi-aaum)Dec 2015: ₹552 Cr (amfi-aaum)Mar 2016: ₹512 Cr (amfi-aaum)Jun 2016: ₹480 Cr (amfi-aaum)Sep 2016: ₹475 Cr (amfi-aaum)Dec 2016: ₹383 Cr (amfi-aaum)Mar 2017: ₹174 Cr (amfi-aaum)Jun 2017: ₹183 Cr (amfi-aaum)Sep 2017: ₹179 Cr (amfi-aaum)Dec 2017: ₹188 Cr (amfi-aaum)Mar 2018: ₹178 Cr (amfi-aaum)Jun 2018: ₹151 Cr (amfi-aaum)Sep 2018: ₹149 Cr (amfi-aaum)Dec 2018: ₹147 Cr (amfi-aaum)

21 points · months without a factsheet figure use AMFI's quarterly average · Regular-plan expense ratio 2.63% in Jun 2018 → 2.43% in Dec 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 100% 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 Value Fund - Series 2 - Direct Dividend
idcw₹11.5128 Dec 2018
regular
ICICI Prudential Value Fund - Series 2 - Dividend
idcw₹10.4828 Dec 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