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ICICI Prudential · Growth

ICICI Prudential Business Cycle Fund - Series 2

Growth Direct plan, growth launched 20 Oct 2015 close-ended

At a glance

the fund as it stands today, from public disclosures

NAV, 21 Feb 2019
₹14.45
−0.62% since 31 Jan 2019
1 year
2.6%
return
3 years
17.6%
a year
5 years
not enough history
Since launch
11.8%
a year, over 3.2 years
Assets (AUM)
₹84 Cr
Mar 2019 AMFI quarterly average
Expense ratio, Direct / Regular
1.48% / 2.61%
a year, as of Feb 2019
Holdings
13
top ten are 104% of the fund · Jan 2019
Disclosed history
3.2 yrs
Nov 2015 – Jan 2019 · 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

Regular plan costs 1.07% a year more than Direct

₹27,813 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

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 100% of three-year stretches, and averaged +4.5 points a year across all of them

4 rolling windows since 2015 · ahead by 4.5 points a year when it won — and never lost 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 →

headline and record disagree One check found the headline number and the underlying record pointing different ways — marked on the cards below.

NAV and drawdown

Direct plan, growth class · as of 21 Feb 2019

Month-end NAV, indexed to 100 at Nov 2015

100120140Nov 2015Sep 2016Jul 2017May 2018Feb 2019Nov 2015: NAV ₹10.08Dec 2015: NAV ₹9.94Jan 2016: NAV ₹9.42Feb 2016: NAV ₹8.92Mar 2016: NAV ₹9.72Apr 2016: NAV ₹10.13May 2016: NAV ₹10.81Jun 2016: NAV ₹11.54Jul 2016: NAV ₹11.72Aug 2016: NAV ₹12.29Sep 2016: NAV ₹12.16Oct 2016: NAV ₹12.33Nov 2016: NAV ₹11.30Dec 2016: NAV ₹11.14Jan 2017: NAV ₹11.80Feb 2017: NAV ₹12.50Mar 2017: NAV ₹13.01Apr 2017: NAV ₹13.01May 2017: NAV ₹13.23Jun 2017: NAV ₹13.14Jul 2017: NAV ₹13.46Aug 2017: NAV ₹13.35Sep 2017: NAV ₹13.64Oct 2017: NAV ₹14.16Nov 2017: NAV ₹14.06Dec 2017: NAV ₹14.45Jan 2018: NAV ₹14.54Feb 2018: NAV ₹14.09Mar 2018: NAV ₹14.01Apr 2018: NAV ₹14.35May 2018: NAV ₹14.14Jun 2018: NAV ₹14.02Jul 2018: NAV ₹14.45Aug 2018: NAV ₹15.01Sep 2018: NAV ₹14.72Oct 2018: NAV ₹14.75Nov 2018: NAV ₹14.57Dec 2018: NAV ₹14.81Jan 2019: NAV ₹14.54Feb 2019: NAV ₹14.45
100120140Nov 2015Sep 2016Jul 2017May 2018Feb 2019Nov 2015: NAV ₹10.08Dec 2015: NAV ₹9.94Jan 2016: NAV ₹9.42Feb 2016: NAV ₹8.92Mar 2016: NAV ₹9.72Apr 2016: NAV ₹10.13May 2016: NAV ₹10.81Jun 2016: NAV ₹11.54Jul 2016: NAV ₹11.72Aug 2016: NAV ₹12.29Sep 2016: NAV ₹12.16Oct 2016: NAV ₹12.33Nov 2016: NAV ₹11.30Dec 2016: NAV ₹11.14Jan 2017: NAV ₹11.80Feb 2017: NAV ₹12.50Mar 2017: NAV ₹13.01Apr 2017: NAV ₹13.01May 2017: NAV ₹13.23Jun 2017: NAV ₹13.14Jul 2017: NAV ₹13.46Aug 2017: NAV ₹13.35Sep 2017: NAV ₹13.64Oct 2017: NAV ₹14.16Nov 2017: NAV ₹14.06Dec 2017: NAV ₹14.45Jan 2018: NAV ₹14.54Feb 2018: NAV ₹14.09Mar 2018: NAV ₹14.01Apr 2018: NAV ₹14.35May 2018: NAV ₹14.14Jun 2018: NAV ₹14.02Jul 2018: NAV ₹14.45Aug 2018: NAV ₹15.01Sep 2018: NAV ₹14.72Oct 2018: NAV ₹14.75Nov 2018: NAV ₹14.57Dec 2018: NAV ₹14.81Jan 2019: NAV ₹14.54Feb 2019: NAV ₹14.45
100120140Nov 2015Sep 2016Jul 2017May 2018Feb 2019Nov 2015: NAV ₹10.08Dec 2015: NAV ₹9.94Jan 2016: NAV ₹9.42Feb 2016: NAV ₹8.92Mar 2016: NAV ₹9.72Apr 2016: NAV ₹10.13May 2016: NAV ₹10.81Jun 2016: NAV ₹11.54Jul 2016: NAV ₹11.72Aug 2016: NAV ₹12.29Sep 2016: NAV ₹12.16Oct 2016: NAV ₹12.33Nov 2016: NAV ₹11.30Dec 2016: NAV ₹11.14Jan 2017: NAV ₹11.80Feb 2017: NAV ₹12.50Mar 2017: NAV ₹13.01Apr 2017: NAV ₹13.01May 2017: NAV ₹13.23Jun 2017: NAV ₹13.14Jul 2017: NAV ₹13.46Aug 2017: NAV ₹13.35Sep 2017: NAV ₹13.64Oct 2017: NAV ₹14.16Nov 2017: NAV ₹14.06Dec 2017: NAV ₹14.45Jan 2018: NAV ₹14.54Feb 2018: NAV ₹14.09Mar 2018: NAV ₹14.01Apr 2018: NAV ₹14.35May 2018: NAV ₹14.14Jun 2018: NAV ₹14.02Jul 2018: NAV ₹14.45Aug 2018: NAV ₹15.01Sep 2018: NAV ₹14.72Oct 2018: NAV ₹14.75Nov 2018: NAV ₹14.57Dec 2018: NAV ₹14.81Jan 2019: NAV ₹14.54Feb 2019: NAV ₹14.45

40 month-ends · ₹10.08 → ₹14.45, 1.4× since Nov 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

Jan 2019 disclosure · 13 lines · when each was first held and the change over the last three disclosures

#HoldingSectorWeightFirst heldHeld for3-mo change
11 Tata Motors Ltd.
equity
Auto 0.02% Oct 2018 4 mo -2.39%
12 State Bank Of India
equity
Banks 0.02% Mar 2017 1.9 yrs -9.01%
13 GAIL (India) Ltd. $$
equity
Gas -4.51% Jan 2019 1 mo -4.51%
Showing 11–13 of 13 · page 2 of 2 rows per page102550all

Largest sectors, Jan 2019 · grey: a year ago

Power10.6% · 14.0%
Industrial Products4.6% · 4.6%
Gas2.9% · 3.0%
Auto Ancillaries1.8% · 3.9%
Consumer Non Durables1.4% · 10.3%
Banks0.5% · 19.3%
Auto0.0%
share of the book05%10%15%

By market cap, Jan 2019

Large cap21.2%
Mid cap5.1%
Cash & equivalents78.2%
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: 14% → 21%Mid cap: 16% → 5%Small / micro: 13% → 0%Cash & other: -4% → 78%25%50%75%Nov 2015Jul 2017Jan 2019
Large cap: 14% → 21%Mid cap: 16% → 5%Small / micro: 13% → 0%Cash & other: -4% → 78%25%50%75%Large cap 21%Mid cap 5%Small / micro 0%Cash & other 78%Nov 2015Jul 2017Jan 2019
Large cap: 14% → 21%Mid cap: 16% → 5%Small / micro: 13% → 0%Cash & other: -4% → 78%25%50%75%Large cap 21%Mid cap 5%Small / micro 0%Cash & other 78%Nov 2015Jul 2017Jan 2019
  • Large cap 21%
  • Mid cap 5%
  • Small / micro 0%
  • Cash & other 78%

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 headline and record disagree

Beat its category in 100% of three-year stretches, and averaged +4.5 points a year across all of them

4 rolling windows since 2015 · ahead by 4.5 points a year when it won — and never lost 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 lose one of the 4, so the average across all of them is the average win, +4.5 points.

No category distribution for this measure yet.
windows measured4windows won4average across every window+4.47 pts a year · median +4.77when ahead, by how much+4.47 pts a year over 4 windowsworst window+3.31 pts a year, ended Feb 2019best window+5.01 pts a year, ended Dec 2018non-overlapping windows in that span1 — the rolling count overlaps, this does not
Thin record. Only 4 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

-5.0 pp0.0 pp+5.0 ppNov 2018: fund 13.1% vs category 8.3% (3-year CAGR)Dec 2018: fund 14.2% vs category 9.2% (3-year CAGR)Jan 2019: fund 15.6% vs category 10.8% (3-year CAGR)Feb 2019: fund 17.4% vs category 14.1% (3-year CAGR)Nov 2018Jan 2019Feb 2019
-5.0 pp0.0 pp+5.0 ppNov 2018: fund 13.1% vs category 8.3% (3-year CAGR)Dec 2018: fund 14.2% vs category 9.2% (3-year CAGR)Jan 2019: fund 15.6% vs category 10.8% (3-year CAGR)Feb 2019: fund 17.4% vs category 14.1% (3-year CAGR)Nov 2018Jan 2019Feb 2019
-5.0 pp0.0 pp+5.0 ppNov 2018: fund 13.1% vs category 8.3% (3-year CAGR)Dec 2018: fund 14.2% vs category 9.2% (3-year CAGR)Jan 2019: fund 15.6% vs category 10.8% (3-year CAGR)Feb 2019: fund 17.4% vs category 14.1% (3-year CAGR)Nov 2018Jan 2019Feb 2019
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.

A modest five-year number over a record that beat its category 100% of the time. Rolling every three-year window forward month by month gives hundreds of overlapping observations instead of one. This fund was ahead of its category median in 100% of them, which points the opposite way to the headline figure. A single end date decided that headline.
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.
P5 Cost, measured

Regular plan costs 1.07% a year more than Direct

₹27,813 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.

No category distribution for this measure yet.
on ₹1,00,000 over ten years₹27,813Direct vs Regular, annualised11.7% vs 10.6%measured over3.25 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 109% 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 18 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

5 of 10 top picks beat their peers over the next 6 months, and averaged 1.1 points behind them

379 positions judged, one disclosure at a time · ahead by 11.2 points when it won, behind by 12.6 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 11.2 points in the 183 positions it won and behind by 12.6 in the 196 it lost, so the average across all 379 is −1.1 points. The worst position was INE775A01035 at the Jul 2018 disclosure, 46.5 points behind.

No category distribution for this measure yet.
positions judged379beat the median stock183average across every position−1.06 pts · median −0.19when ahead, by how much+11.23 pts over 183 positionswhen behind, by how much−12.59 pts over 196 positionsworst position−46.55 pts, INE775A01035 at the Jul 2018 disclosurebest position+37.73 pts, INE044A01036 at the Mar 2018 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

₹84 Cr

Regular plan expense ratio 2.61% 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 / Direct2.61% / 1.48% · category median 1.42%AUM, Mar 2016 → Mar 2019₹116 Cr → ₹84 Cr (−10% a year)

Assets under management, ₹ crore, Dec 2015 – Mar 2019

75100125150Dec 2015Dec 2016Sep 2017Sep 2018Mar 2019Dec 2015: ₹75 Cr (amfi-aaum)Mar 2016: ₹116 Cr (amfi-aaum)Jun 2016: ₹129 Cr (amfi-aaum)Sep 2016: ₹143 Cr (amfi-aaum)Dec 2016: ₹137 Cr (amfi-aaum)Mar 2017: ₹142 Cr (amfi-aaum)Jun 2017: ₹149 Cr (amfi-aaum)Sep 2017: ₹146 Cr (amfi-aaum)Dec 2017: ₹151 Cr (amfi-aaum)Mar 2018: ₹147 Cr (amfi-aaum)Jun 2018: ₹142 Cr (amfi-aaum)Sep 2018: ₹146 Cr (amfi-aaum)Dec 2018: ₹146 Cr (amfi-aaum)Mar 2019: ₹84 Cr (amfi-aaum)
75100125150Dec 2015Dec 2016Sep 2017Sep 2018Mar 2019Dec 2015: ₹75 Cr (amfi-aaum)Mar 2016: ₹116 Cr (amfi-aaum)Jun 2016: ₹129 Cr (amfi-aaum)Sep 2016: ₹143 Cr (amfi-aaum)Dec 2016: ₹137 Cr (amfi-aaum)Mar 2017: ₹142 Cr (amfi-aaum)Jun 2017: ₹149 Cr (amfi-aaum)Sep 2017: ₹146 Cr (amfi-aaum)Dec 2017: ₹151 Cr (amfi-aaum)Mar 2018: ₹147 Cr (amfi-aaum)Jun 2018: ₹142 Cr (amfi-aaum)Sep 2018: ₹146 Cr (amfi-aaum)Dec 2018: ₹146 Cr (amfi-aaum)Mar 2019: ₹84 Cr (amfi-aaum)
75100125150Dec 2015Dec 2016Sep 2017Sep 2018Mar 2019Dec 2015: ₹75 Cr (amfi-aaum)Mar 2016: ₹116 Cr (amfi-aaum)Jun 2016: ₹129 Cr (amfi-aaum)Sep 2016: ₹143 Cr (amfi-aaum)Dec 2016: ₹137 Cr (amfi-aaum)Mar 2017: ₹142 Cr (amfi-aaum)Jun 2017: ₹149 Cr (amfi-aaum)Sep 2017: ₹146 Cr (amfi-aaum)Dec 2017: ₹151 Cr (amfi-aaum)Mar 2018: ₹147 Cr (amfi-aaum)Jun 2018: ₹142 Cr (amfi-aaum)Sep 2018: ₹146 Cr (amfi-aaum)Dec 2018: ₹146 Cr (amfi-aaum)Mar 2019: ₹84 Cr (amfi-aaum)

14 points · months without a factsheet figure use AMFI's quarterly average · Regular-plan expense ratio 2.75% in Jun 2018 → 2.61% in Feb 2019

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 78% 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 Business Cycle Fund - Series 2 Direct Plan Cumulative Option
growth₹14.4521 Feb 2019
direct
ICICI Prudential Business Cycle Fund - Series 2 Direct Plan Dividend Option
idcw₹10.6921 Feb 2019
regular
ICICI Prudential Business Cycle Fund - Series 2 Cumulative Option
growth₹13.9921 Feb 2019
regular
ICICI Prudential Business Cycle Fund - Series 2 Dividend Option
idcw₹10.2921 Feb 2019
The Direct / Regular gap, in rupees
Direct growth NAV
₹14.45
Regular growth NAV
₹13.99
NAV divergence to date
3.3% — same portfolio, priced differently
Regular costs more by
1.07% a year
On ₹1,00,000 over ten years
₹27,813

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