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JM Financial · Gilt

JM G-Sec Fund

Income/Debt Oriented Schemes - Gilt Fund Direct plan, growth launched 29 Sep 1992 open-ended

At a glance

the fund as it stands today, from public disclosures

NAV, 7 Sep 2019
₹63.75
+0.11% since 30 Aug 2019
1 year
12.8%
return
3 years
7.1%
a year
5 years
not enough history
Since launch
9.7%
a year, over 4.9 years
Assets (AUM)
₹11 Cr
Sep 2019 AMFI quarterly average
Expense ratio, Direct / Regular
0.98% / 1.73%
a year, as of Sep 2019
Holdings
5
top ten are 100% of the fund · Aug 2019
Disclosed history
6.6 yrs
Dec 2012 – Aug 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 0.82% a year more than Direct

₹17,951 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 0% of three-year stretches, and averaged −0.5 points a year across all of them

25 rolling windows since 2014 · behind by 0.5 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, growth class · as of 7 Sep 2019

Month-end NAV, indexed to 100 at Sep 2014

100120140160Sep 2014Dec 2015Apr 2017Jul 2018Sep 2019Sep 2014: NAV ₹40.44Oct 2014: NAV ₹41.69Nov 2014: NAV ₹42.57Dec 2014: NAV ₹43.61Jan 2015: NAV ₹44.86Feb 2015: NAV ₹45.11Mar 2015: NAV ₹44.95Apr 2015: NAV ₹44.77May 2015: NAV ₹44.90Jun 2015: NAV ₹44.27Jul 2015: NAV ₹44.86Aug 2015: NAV ₹45.31Sep 2015: NAV ₹46.48Oct 2015: NAV ₹46.44Nov 2015: NAV ₹46.06Dec 2015: NAV ₹46.04Jan 2016: NAV ₹45.80Feb 2016: NAV ₹45.95Mar 2016: NAV ₹47.41Apr 2016: NAV ₹48.03May 2016: NAV ₹48.10Jun 2016: NAV ₹48.94Jul 2016: NAV ₹50.90Aug 2016: NAV ₹51.87Sep 2016: NAV ₹52.66Oct 2016: NAV ₹52.87Nov 2016: NAV ₹55.85Dec 2016: NAV ₹54.57Jan 2017: NAV ₹55.28Feb 2017: NAV ₹54.12Mar 2017: NAV ₹54.85Apr 2017: NAV ₹54.88May 2017: NAV ₹55.79Jun 2017: NAV ₹56.84Jul 2017: NAV ₹57.20Aug 2017: NAV ₹57.19Sep 2017: NAV ₹57.03Oct 2017: NAV ₹56.74Nov 2017: NAV ₹56.56Dec 2017: NAV ₹55.93Jan 2018: NAV ₹55.32Feb 2018: NAV ₹54.64Mar 2018: NAV ₹56.16Apr 2018: NAV ₹55.36May 2018: NAV ₹55.56Jun 2018: NAV ₹55.73Jul 2018: NAV ₹56.27Aug 2018: NAV ₹56.39Sep 2018: NAV ₹56.67Oct 2018: NAV ₹57.20Nov 2018: NAV ₹57.94Dec 2018: NAV ₹58.82Jan 2019: NAV ₹58.81Feb 2019: NAV ₹58.97Mar 2019: NAV ₹59.47Apr 2019: NAV ₹59.34May 2019: NAV ₹60.89Jun 2019: NAV ₹61.74Jul 2019: NAV ₹63.66Aug 2019: NAV ₹63.67Sep 2019: NAV ₹63.75
100120140160Sep 2014Dec 2015Apr 2017Jul 2018Sep 2019Sep 2014: NAV ₹40.44Oct 2014: NAV ₹41.69Nov 2014: NAV ₹42.57Dec 2014: NAV ₹43.61Jan 2015: NAV ₹44.86Feb 2015: NAV ₹45.11Mar 2015: NAV ₹44.95Apr 2015: NAV ₹44.77May 2015: NAV ₹44.90Jun 2015: NAV ₹44.27Jul 2015: NAV ₹44.86Aug 2015: NAV ₹45.31Sep 2015: NAV ₹46.48Oct 2015: NAV ₹46.44Nov 2015: NAV ₹46.06Dec 2015: NAV ₹46.04Jan 2016: NAV ₹45.80Feb 2016: NAV ₹45.95Mar 2016: NAV ₹47.41Apr 2016: NAV ₹48.03May 2016: NAV ₹48.10Jun 2016: NAV ₹48.94Jul 2016: NAV ₹50.90Aug 2016: NAV ₹51.87Sep 2016: NAV ₹52.66Oct 2016: NAV ₹52.87Nov 2016: NAV ₹55.85Dec 2016: NAV ₹54.57Jan 2017: NAV ₹55.28Feb 2017: NAV ₹54.12Mar 2017: NAV ₹54.85Apr 2017: NAV ₹54.88May 2017: NAV ₹55.79Jun 2017: NAV ₹56.84Jul 2017: NAV ₹57.20Aug 2017: NAV ₹57.19Sep 2017: NAV ₹57.03Oct 2017: NAV ₹56.74Nov 2017: NAV ₹56.56Dec 2017: NAV ₹55.93Jan 2018: NAV ₹55.32Feb 2018: NAV ₹54.64Mar 2018: NAV ₹56.16Apr 2018: NAV ₹55.36May 2018: NAV ₹55.56Jun 2018: NAV ₹55.73Jul 2018: NAV ₹56.27Aug 2018: NAV ₹56.39Sep 2018: NAV ₹56.67Oct 2018: NAV ₹57.20Nov 2018: NAV ₹57.94Dec 2018: NAV ₹58.82Jan 2019: NAV ₹58.81Feb 2019: NAV ₹58.97Mar 2019: NAV ₹59.47Apr 2019: NAV ₹59.34May 2019: NAV ₹60.89Jun 2019: NAV ₹61.74Jul 2019: NAV ₹63.66Aug 2019: NAV ₹63.67Sep 2019: NAV ₹63.75
100120140160Sep 2014Dec 2015Apr 2017Jul 2018Sep 2019Sep 2014: NAV ₹40.44Oct 2014: NAV ₹41.69Nov 2014: NAV ₹42.57Dec 2014: NAV ₹43.61Jan 2015: NAV ₹44.86Feb 2015: NAV ₹45.11Mar 2015: NAV ₹44.95Apr 2015: NAV ₹44.77May 2015: NAV ₹44.90Jun 2015: NAV ₹44.27Jul 2015: NAV ₹44.86Aug 2015: NAV ₹45.31Sep 2015: NAV ₹46.48Oct 2015: NAV ₹46.44Nov 2015: NAV ₹46.06Dec 2015: NAV ₹46.04Jan 2016: NAV ₹45.80Feb 2016: NAV ₹45.95Mar 2016: NAV ₹47.41Apr 2016: NAV ₹48.03May 2016: NAV ₹48.10Jun 2016: NAV ₹48.94Jul 2016: NAV ₹50.90Aug 2016: NAV ₹51.87Sep 2016: NAV ₹52.66Oct 2016: NAV ₹52.87Nov 2016: NAV ₹55.85Dec 2016: NAV ₹54.57Jan 2017: NAV ₹55.28Feb 2017: NAV ₹54.12Mar 2017: NAV ₹54.85Apr 2017: NAV ₹54.88May 2017: NAV ₹55.79Jun 2017: NAV ₹56.84Jul 2017: NAV ₹57.20Aug 2017: NAV ₹57.19Sep 2017: NAV ₹57.03Oct 2017: NAV ₹56.74Nov 2017: NAV ₹56.56Dec 2017: NAV ₹55.93Jan 2018: NAV ₹55.32Feb 2018: NAV ₹54.64Mar 2018: NAV ₹56.16Apr 2018: NAV ₹55.36May 2018: NAV ₹55.56Jun 2018: NAV ₹55.73Jul 2018: NAV ₹56.27Aug 2018: NAV ₹56.39Sep 2018: NAV ₹56.67Oct 2018: NAV ₹57.20Nov 2018: NAV ₹57.94Dec 2018: NAV ₹58.82Jan 2019: NAV ₹58.81Feb 2019: NAV ₹58.97Mar 2019: NAV ₹59.47Apr 2019: NAV ₹59.34May 2019: NAV ₹60.89Jun 2019: NAV ₹61.74Jul 2019: NAV ₹63.66Aug 2019: NAV ₹63.67Sep 2019: NAV ₹63.75

61 month-ends · ₹40.44 → ₹63.75, 1.6× 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

Aug 2019 disclosure · 5 lines · when each was first held and the change over the last three disclosures

#HoldingSectorWeightFirst heldHeld for3-mo change
1 7.17% Government of India Securities 2028 08/01/28
government security
53.09% Jun 2018 1.3 yrs +4.96%
2 7.32% Government of India Securities 2024 28/01/24
government security
22.16% Jul 2019 2 mo +22.16%
3 7.26% Government of India Securities 2029 14/01/29
government security
14.88% Feb 2019 7 mo -25.60%
4 Triparty Repo
money market
5.63% Mar 2019 6 mo +1.52%
5 Net Current Assets
cash equivalent
4.25% Dec 2012 6.8 yrs +5.25%

Largest sectors, latest disclosure

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

By market cap, latest disclosure

Not yet computable. Needs cap tiers for every holding.

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 −0.5 points a year across all of them

25 rolling windows since 2014 · behind by 0.5 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 25; the average across all of them is −0.5 points. The worst window ended Aug 2019, 1.5 points behind.

windows measured25windows won0average across every window−0.51 pts a year · median −0.31when behind, by how much−0.51 pts a year over 25 windowsworst window−1.51 pts a year, ended Aug 2019best window−0.03 pts a year, ended Dec 2017non-overlapping windows in that span1 — the rolling count overlaps, this does not
Thin record. Only 25 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

-1.5 pp0.0 pp+1.5 ppSep 2017: fund 12.2% vs category 12.2% (3-year CAGR)Oct 2017: fund 10.8% vs category 10.9% (3-year CAGR)Nov 2017: fund 9.9% vs category 10.0% (3-year CAGR)Dec 2017: fund 8.6% vs category 8.7% (3-year CAGR)Jan 2018: fund 7.2% vs category 7.5% (3-year CAGR)Feb 2018: fund 6.6% vs category 7.0% (3-year CAGR)Mar 2018: fund 7.7% vs category 8.0% (3-year CAGR)Apr 2018: fund 7.3% vs category 7.7% (3-year CAGR)May 2018: fund 7.3% vs category 7.7% (3-year CAGR)Jun 2018: fund 8.0% vs category 8.2% (3-year CAGR)Jul 2018: fund 7.8% vs category 8.0% (3-year CAGR)Aug 2018: fund 7.6% vs category 7.8% (3-year CAGR)Sep 2018: fund 6.8% vs category 7.0% (3-year CAGR)Oct 2018: fund 7.2% vs category 7.4% (3-year CAGR)Nov 2018: fund 8.0% vs category 8.3% (3-year CAGR)Dec 2018: fund 8.5% vs category 8.9% (3-year CAGR)Jan 2019: fund 8.7% vs category 9.0% (3-year CAGR)Feb 2019: fund 8.7% vs category 9.0% (3-year CAGR)Mar 2019: fund 7.8% vs category 8.7% (3-year CAGR)Apr 2019: fund 7.3% vs category 8.3% (3-year CAGR)May 2019: fund 8.2% vs category 9.2% (3-year CAGR)Jun 2019: fund 8.1% vs category 9.4% (3-year CAGR)Jul 2019: fund 7.7% vs category 9.2% (3-year CAGR)Aug 2019: fund 7.1% vs category 8.6% (3-year CAGR)Sep 2019: fund 6.6% vs category 8.0% (3-year CAGR)Sep 2017Oct 2018Sep 2019
-1.5 pp0.0 pp+1.5 ppSep 2017: fund 12.2% vs category 12.2% (3-year CAGR)Oct 2017: fund 10.8% vs category 10.9% (3-year CAGR)Nov 2017: fund 9.9% vs category 10.0% (3-year CAGR)Dec 2017: fund 8.6% vs category 8.7% (3-year CAGR)Jan 2018: fund 7.2% vs category 7.5% (3-year CAGR)Feb 2018: fund 6.6% vs category 7.0% (3-year CAGR)Mar 2018: fund 7.7% vs category 8.0% (3-year CAGR)Apr 2018: fund 7.3% vs category 7.7% (3-year CAGR)May 2018: fund 7.3% vs category 7.7% (3-year CAGR)Jun 2018: fund 8.0% vs category 8.2% (3-year CAGR)Jul 2018: fund 7.8% vs category 8.0% (3-year CAGR)Aug 2018: fund 7.6% vs category 7.8% (3-year CAGR)Sep 2018: fund 6.8% vs category 7.0% (3-year CAGR)Oct 2018: fund 7.2% vs category 7.4% (3-year CAGR)Nov 2018: fund 8.0% vs category 8.3% (3-year CAGR)Dec 2018: fund 8.5% vs category 8.9% (3-year CAGR)Jan 2019: fund 8.7% vs category 9.0% (3-year CAGR)Feb 2019: fund 8.7% vs category 9.0% (3-year CAGR)Mar 2019: fund 7.8% vs category 8.7% (3-year CAGR)Apr 2019: fund 7.3% vs category 8.3% (3-year CAGR)May 2019: fund 8.2% vs category 9.2% (3-year CAGR)Jun 2019: fund 8.1% vs category 9.4% (3-year CAGR)Jul 2019: fund 7.7% vs category 9.2% (3-year CAGR)Aug 2019: fund 7.1% vs category 8.6% (3-year CAGR)Sep 2019: fund 6.6% vs category 8.0% (3-year CAGR)Sep 2017Oct 2018Sep 2019
-1.5 pp0.0 pp+1.5 ppSep 2017: fund 12.2% vs category 12.2% (3-year CAGR)Oct 2017: fund 10.8% vs category 10.9% (3-year CAGR)Nov 2017: fund 9.9% vs category 10.0% (3-year CAGR)Dec 2017: fund 8.6% vs category 8.7% (3-year CAGR)Jan 2018: fund 7.2% vs category 7.5% (3-year CAGR)Feb 2018: fund 6.6% vs category 7.0% (3-year CAGR)Mar 2018: fund 7.7% vs category 8.0% (3-year CAGR)Apr 2018: fund 7.3% vs category 7.7% (3-year CAGR)May 2018: fund 7.3% vs category 7.7% (3-year CAGR)Jun 2018: fund 8.0% vs category 8.2% (3-year CAGR)Jul 2018: fund 7.8% vs category 8.0% (3-year CAGR)Aug 2018: fund 7.6% vs category 7.8% (3-year CAGR)Sep 2018: fund 6.8% vs category 7.0% (3-year CAGR)Oct 2018: fund 7.2% vs category 7.4% (3-year CAGR)Nov 2018: fund 8.0% vs category 8.3% (3-year CAGR)Dec 2018: fund 8.5% vs category 8.9% (3-year CAGR)Jan 2019: fund 8.7% vs category 9.0% (3-year CAGR)Feb 2019: fund 8.7% vs category 9.0% (3-year CAGR)Mar 2019: fund 7.8% vs category 8.7% (3-year CAGR)Apr 2019: fund 7.3% vs category 8.3% (3-year CAGR)May 2019: fund 8.2% vs category 9.2% (3-year CAGR)Jun 2019: fund 8.1% vs category 9.4% (3-year CAGR)Jul 2019: fund 7.7% vs category 9.2% (3-year CAGR)Aug 2019: fund 7.1% vs category 8.6% (3-year CAGR)Sep 2019: fund 6.6% vs category 8.0% (3-year CAGR)Sep 2017Oct 2018Sep 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.

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 0.82% a year more than Direct

₹17,951 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.

on ₹1,00,000 over ten years₹17,951Direct vs Regular, annualised9.5% vs 8.7%measured over5 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
Not measurable yet. Needs at least two consecutive monthly disclosures.

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.

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
Not measurable yet. Detector not yet written: needs each disclosure's top ten joined to six months of forward prices. Holdings and prices are in hand.

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 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

₹11 Cr; 150% of growth came from outflows

Regular plan expense ratio 1.73% 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.

expense ratio, Regular / Direct1.73% / 0.98% · category median 1.18%AUM, Sep 2016 → Sep 2019₹20 Cr → ₹11 Cr (−17% a year)of that change, from flows rather than returns150% net outflows · NAV +21% over the window

Assets under management, ₹ crore, Jun 2010 – Sep 2019

2040Jun 2010Dec 2012Mar 2015Sep 2017Sep 2019Jun 2010: ₹14 Cr (amfi-aaum)Sep 2010: ₹13 Cr (amfi-aaum)Dec 2010: ₹16 Cr (amfi-aaum)Mar 2011: ₹8 Cr (amfi-aaum)Jun 2011: ₹11 Cr (amfi-aaum)Sep 2011: ₹22 Cr (amfi-aaum)Dec 2011: ₹22 Cr (amfi-aaum)Mar 2012: ₹49 Cr (amfi-aaum)Jun 2012: ₹20 Cr (amfi-aaum)Sep 2012: ₹20 Cr (amfi-aaum)Dec 2012: ₹22 Cr (amfi-aaum)Mar 2013: ₹24 Cr (amfi-aaum)Jun 2013: ₹23 Cr (amfi-aaum)Sep 2013: ₹21 Cr (amfi-aaum)Dec 2013: ₹24 Cr (amfi-aaum)Mar 2014: ₹19 Cr (amfi-aaum)Jun 2014: ₹14 Cr (amfi-aaum)Sep 2014: ₹11 Cr (amfi-aaum)Dec 2014: ₹17 Cr (amfi-aaum)Mar 2015: ₹38 Cr (amfi-aaum)Jun 2015: ₹38 Cr (amfi-aaum)Sep 2015: ₹32 Cr (amfi-aaum)Dec 2015: ₹31 Cr (amfi-aaum)Mar 2016: ₹28 Cr (amfi-aaum)Jun 2016: ₹25 Cr (amfi-aaum)Sep 2016: ₹20 Cr (amfi-aaum)Dec 2016: ₹20 Cr (amfi-aaum)Mar 2017: ₹21 Cr (amfi-aaum)Jun 2017: ₹22 Cr (amfi-aaum)Sep 2017: ₹23 Cr (amfi-aaum)Dec 2017: ₹22 Cr (amfi-aaum)Mar 2018: ₹18 Cr (amfi-aaum)Jun 2018: ₹15 Cr (amfi-aaum)Sep 2018: ₹15 Cr (amfi-aaum)Dec 2018: ₹16 Cr (amfi-aaum)Mar 2019: ₹15 Cr (amfi-aaum)Jun 2019: ₹15 Cr (amfi-aaum)Sep 2019: ₹11 Cr (amfi-aaum)
2040Jun 2010Dec 2012Mar 2015Sep 2017Sep 2019Jun 2010: ₹14 Cr (amfi-aaum)Sep 2010: ₹13 Cr (amfi-aaum)Dec 2010: ₹16 Cr (amfi-aaum)Mar 2011: ₹8 Cr (amfi-aaum)Jun 2011: ₹11 Cr (amfi-aaum)Sep 2011: ₹22 Cr (amfi-aaum)Dec 2011: ₹22 Cr (amfi-aaum)Mar 2012: ₹49 Cr (amfi-aaum)Jun 2012: ₹20 Cr (amfi-aaum)Sep 2012: ₹20 Cr (amfi-aaum)Dec 2012: ₹22 Cr (amfi-aaum)Mar 2013: ₹24 Cr (amfi-aaum)Jun 2013: ₹23 Cr (amfi-aaum)Sep 2013: ₹21 Cr (amfi-aaum)Dec 2013: ₹24 Cr (amfi-aaum)Mar 2014: ₹19 Cr (amfi-aaum)Jun 2014: ₹14 Cr (amfi-aaum)Sep 2014: ₹11 Cr (amfi-aaum)Dec 2014: ₹17 Cr (amfi-aaum)Mar 2015: ₹38 Cr (amfi-aaum)Jun 2015: ₹38 Cr (amfi-aaum)Sep 2015: ₹32 Cr (amfi-aaum)Dec 2015: ₹31 Cr (amfi-aaum)Mar 2016: ₹28 Cr (amfi-aaum)Jun 2016: ₹25 Cr (amfi-aaum)Sep 2016: ₹20 Cr (amfi-aaum)Dec 2016: ₹20 Cr (amfi-aaum)Mar 2017: ₹21 Cr (amfi-aaum)Jun 2017: ₹22 Cr (amfi-aaum)Sep 2017: ₹23 Cr (amfi-aaum)Dec 2017: ₹22 Cr (amfi-aaum)Mar 2018: ₹18 Cr (amfi-aaum)Jun 2018: ₹15 Cr (amfi-aaum)Sep 2018: ₹15 Cr (amfi-aaum)Dec 2018: ₹16 Cr (amfi-aaum)Mar 2019: ₹15 Cr (amfi-aaum)Jun 2019: ₹15 Cr (amfi-aaum)Sep 2019: ₹11 Cr (amfi-aaum)
2040Jun 2010Dec 2012Mar 2015Sep 2017Sep 2019Jun 2010: ₹14 Cr (amfi-aaum)Sep 2010: ₹13 Cr (amfi-aaum)Dec 2010: ₹16 Cr (amfi-aaum)Mar 2011: ₹8 Cr (amfi-aaum)Jun 2011: ₹11 Cr (amfi-aaum)Sep 2011: ₹22 Cr (amfi-aaum)Dec 2011: ₹22 Cr (amfi-aaum)Mar 2012: ₹49 Cr (amfi-aaum)Jun 2012: ₹20 Cr (amfi-aaum)Sep 2012: ₹20 Cr (amfi-aaum)Dec 2012: ₹22 Cr (amfi-aaum)Mar 2013: ₹24 Cr (amfi-aaum)Jun 2013: ₹23 Cr (amfi-aaum)Sep 2013: ₹21 Cr (amfi-aaum)Dec 2013: ₹24 Cr (amfi-aaum)Mar 2014: ₹19 Cr (amfi-aaum)Jun 2014: ₹14 Cr (amfi-aaum)Sep 2014: ₹11 Cr (amfi-aaum)Dec 2014: ₹17 Cr (amfi-aaum)Mar 2015: ₹38 Cr (amfi-aaum)Jun 2015: ₹38 Cr (amfi-aaum)Sep 2015: ₹32 Cr (amfi-aaum)Dec 2015: ₹31 Cr (amfi-aaum)Mar 2016: ₹28 Cr (amfi-aaum)Jun 2016: ₹25 Cr (amfi-aaum)Sep 2016: ₹20 Cr (amfi-aaum)Dec 2016: ₹20 Cr (amfi-aaum)Mar 2017: ₹21 Cr (amfi-aaum)Jun 2017: ₹22 Cr (amfi-aaum)Sep 2017: ₹23 Cr (amfi-aaum)Dec 2017: ₹22 Cr (amfi-aaum)Mar 2018: ₹18 Cr (amfi-aaum)Jun 2018: ₹15 Cr (amfi-aaum)Sep 2018: ₹15 Cr (amfi-aaum)Dec 2018: ₹16 Cr (amfi-aaum)Mar 2019: ₹15 Cr (amfi-aaum)Jun 2019: ₹15 Cr (amfi-aaum)Sep 2019: ₹11 Cr (amfi-aaum)

38 points · months without a factsheet figure use AMFI's quarterly average · Regular-plan expense ratio 1.74% in Jun 2018 → 1.73% in Sep 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 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
JM G-Sec Fund - (Direct) - Growth Option
growth₹63.757 Sep 2019
direct
JM G-Sec Fund - (Direct) - Quarterly Dividend Option
idcw₹29.297 Sep 2019
direct
JM G-Sec Fund - (Direct) Half Yearly Dividend Option
idcw₹29.777 Sep 2019
direct
JM G-Sec Fund - (Direct) Annual Dividend Option
idcw₹29.777 Sep 2019
direct
JM G-Sec Fund - (Direct) Monthly Dividend Option
idcw₹29.627 Sep 2019
direct
JM G-Sec Fund - (Direct) - Bonus Option - Principal Units
₹—
direct
JM G-Sec Fund - (Direct) Bonus Option - Principal Units
₹32.677 Sep 2019
regular
JM G-Sec Fund - Growth Option
growth₹60.767 Sep 2019
regular
JM G-Sec Fund - Quarterly Dividend Option
idcw₹27.777 Sep 2019
regular
JM G-Sec Fund - Annual Dividend Option
idcw₹28.247 Sep 2019
regular
JM G-Sec Fund - Monthly Dividend Option
idcw₹28.257 Sep 2019
regular
JM G-Sec Fund - Half Yearly Dividend Option
idcw₹28.177 Sep 2019
regular
JM G-Sec Fund-Short Term Plan
₹—
regular
JM G-Sec Fund - Bonus Option - Principal Units
₹29.567 Sep 2019
The Direct / Regular gap, in rupees
Direct growth NAV
₹63.75
Regular growth NAV
₹60.76
NAV divergence to date
4.9% — same portfolio, priced differently
Regular costs more by
0.82% a year
On ₹1,00,000 over ten years
₹17,951

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