Both S&P Dow Jones Indices scorecards quoted on
this page are the year-end 2025 editions.
S&P publishes the SPIVA Scorecard for institutional and professional
use. Are you an investment professional?
Most Australian Equity General funds trailed the S&P/ASX 200
Consider the Australian Equity General funds that existed at the start
of the ten-year period ending in December 2025. Of these,
88% either
did not survive the period or, while surviving, achieved a return that
was lower than that of the S&P/ASX 200. Over a one-year period, this
figure stood at
74%, and
over fifteen years at
87%.
Across all categories,
52% of the funds
merged or were wound up over the course of the fifteen years. S&P
includes a fund that was closed within this percentage, as it was part of
the range at the outset.
S&P publishes the same metric for five categories across five time
horizons. These are the percentages for the year-end 2025 edition.
The percentage counts funds rather than money. S&P
publishes an asset-weighted average separately, and it can point the
other way. In 2025 Australian listed property funds returned 11.7% on an
asset-weighted average basis, against their index's 9.2%, while 40% of
them trailed it. Fund returns are measured after fees against an
index that carries no costs. S&P's methodology says so: "There has
been no deduction from index returns to account for fund investment
expenses". It also says the fund returns used are "net of fees, excluding
loads". S&P changed the Global Equity General category's benchmark in
2024 to the S&P World Index, which launched in May 2020. Most of the
ten and fifteen year history behind that row is therefore back-tested
index return. S&P warns that such returns "may differ significantly
from, and be lower than" actual returns.
A published critique of the scorecard's method exists.
Cremers, Fulkerson and Riley, in a
draft of 4 May 2026, argue that
three choices understate active performance. The first is counting a fund
that exited as an underperformer "regardless of its actual performance
prior to exit". The second is weighting every fund equally when most money
sits in a few large ones. The third is comparing against a benchmark
rather than against an investable passive fund. On their revised basis 56%
of the assets in active US equity funds underperformed in 2024. The
critique addresses the US scorecard rather than this one. The
Investment Adviser Association's Active Managers Council, the active
industry's own body, supported the research. Robin Wigglesworth, a
Financial Times editor, strongly defends the SPIVA Scorecard by
pointing out the critics' weaknesses in
their arguments.
Being ahead rarely lasted
In the twelve months to December 2023,
70 Australian Equity
General funds were in the top quarter of their peer group. Of those,
five, or
7.1%, were still in the
top quarter in both of the next two years. Of the
75 Global Equity
General funds in the top quarter in the same twelve months,
12, or
16.0%, were. If
rankings were purely random, about 6% of top quarter funds would still be
there two years later and 0.4% would still be there after four years.
For the funds in the top quarter over the five years to December 2020,
22.4% were still in the top
quarter over the following five years. Another
46.6% fell to the bottom
quarter or were merged or liquidated. Australian bond funds were the
exception, with more of them staying in the top quarter than falling to
the bottom or closing. The same applies to a year-by-year comparison. At
December 2021, 218 funds were in
the top quarter of their category. Of these,
five were still there at
every yearly check to December 2025. All five are bond funds:
5 of the 17 that started, or
29.4%. In every equity category
the December 2025 figure is zero.
The two year Australian count is statistically not
significant.
A test based on annual calendar windows will not reveal
persistence over shorter horizons, or persistence conditioned on what a
fund holds. Bollen and Busse
found "superior performance is a short-lived phenomenon that is
observable only when funds are evaluated several times a year". Cremers
and Petajisto found that "funds with the highest Active Share
significantly outperform their benchmarks, both before and after
expenses, and they exhibit strong performance persistence". The
equivalent Australian study, by Bennett, Gallagher, Harman, Warren and
Xi, found "significant persistence among outperforming rather than
underperforming funds", fading beyond six months. On Berk and Green's
account, "the lack of persistence in active manager returns does not
imply that differential ability across managers is nonexistent or
unrewarded". The reason they give is that money flows to skill until the
return to it is competed away. So on their account no persistence is what
a competitive market produces, even where skill is real.
The review of the research ASIC commissioned stated: "Good
past performance seems to be, at best, a weak and
unreliable predictor of future good performance over the medium to long
term ... Where persistence was found, this was more frequently in the
shorter-term". A test that finds no persistence hasn't established that
skill is absent. It has established that there is no evidence that
persistent skill shows up more than on rare occasions over this length of
time. That makes it less likely to find one of the possible, rare
exceptions ahead of time. The reason is that investing with those that
have the best track record is not a strategy that has led to
outperformance.
The calculator on this website deducts fund, adviser and platform fees
from the index return. It shows how much each fee costs over every period
in Australian history covered by the data. The calculation for each fee
is based on the average of the opening balance and the closing balance
before fees are deducted. The amount deducted by the fees therefore
depends on how the markets have performed. The calculator deducts the
fund fee. It takes into account neither tracking difference nor the
brokerage fees or spreads paid by the fund itself, which are also
incurred by an index fund.
Source The calculation tool, the fee
assumptions it uses and the above-mentioned limitations are set out on
the engine at full depth.
Statements mentioned in discussions about active and passive
funds
Two statements on active and passive investing, each accompanied by a
description of the respective method, the published criticisms and the
sources for both.
The claim that financial advice yields around 3% a year, or 5.5%, is addressed, alongside other claims made within the industry, under What is known about the effectiveness of financial advice?, with reference to the following two points regarding the investor-return gap.
"Investors lag the index by four points a year."This figure is taken from DALBAR's Quantitative
Analysis of Investor Behavior, known as QAIB, which is published
annually and sold as a report. Each edition compares the average
investor return with the index return over the same period. DALBAR
states that it measures monthly fund sales, redemptions and switches,
which, according to its glossary, are provided by the Investment
Company Institute. It states that the return is calculated as the
change in assets once these capital flows have been factored out.
According to this description, the average investor represents an
industry aggregate rather than a sample of individual accounts.The two sides of this comparison are calculated on
different bases. A fund's published return is time-weighted: it
assumes that one dollar remains in the fund throughout the entire
period, regardless of how much money flows in or out. The QAIB
investor return is dollar-weighted: it weights each year according to
the amount of money invested in it. A saver who makes monthly
contributions has the least capital in the fund during the early
years. So if these were the strong years, the dollar-weighted figure
falls below that of the fund itself.A second difference arises when a fund is selected on
the basis of its past performance. In the United States, Carhart
examined US equity funds without survivor bias. He found that "common
factors in stock returns and investment expenses almost completely
explain persistence in equity mutual funds' mean and risk-adjusted
returns". He also found that the only remaining significant
persistence "is concentrated in strong underperformance by the
worst-return mutual funds". What his model therefore leaves
unexplained is persistence at the lower end, rather than at the upper
end. Fama and French found that the aggregate portfolio of active US
equity funds is close to the market portfolio. They noted that "the
high costs of active management" show up "intact as lower returns to
investors".Nevertheless, the same study finds evidence of both
above-average and below-average performance at the extreme ends of
the spectrum, once fund costs are factored back in. Based on these
findings, it is to be expected that a fund selected on the basis of a
strong track record will achieve roughly the same return as active
funds do on average. After deducting its costs, this return is
therefore lower than that of the index. None of this presupposes that
the investor has missed the right timing. Three published criticisms
relate to the first of these two differences.Wade Pfau holds a PhD in economics. He is Professor
of Practice at The American College of Financial Services and a
principal of the wealth manager McLean Asset Management. In March
2017, he argued in Advisor Perspectives that comparing a
dollar-weighted investor return with a time-weighted index return
leads to an incorrect calculation. Harry Sit is the author of The
Finance Buff, does not publish academic papers and runs Advice-Only
Financial, a paid directory of advisers who charge fees exclusively
for their advice. He worked through DALBAR's own figures on
Kitces.com in October 2012. Over the twenty-year period up to 2011,
these figures showed an annual return of 3.49% for the average equity
fund investor, compared with 7.81% for the S&P 500. This
corresponds to a difference of 4.32 percentage points. He compared
these figures with the benchmark of 3.17% set by DALBAR itself for the
dollar-cost averaging approach, which the average investor
outperformed.Michael Edesess holds a PhD in mathematics. He is an
adjunct professor at the Hong Kong University of Science and
Technology in the fields of environment and sustainability as well as
finance. He is also chief investment strategist at Compendium
Finance. In October 2017, he published an article on this subject in
Advisor Perspectives. In 2007, he also authored the book The Big
Investment Lie, in which he argues that the investment industry
misleads its clients.DALBAR rejects the criticism and responded to Pfau on
8 May 2017 in the same publication. In its reply dated 11 October
2017, it states that the QAIB "uses the actual balances in investor
accounts each month". The error allegedly identified by the critics
is described therein as "(non-existent)". Eleven reasons are listed
as to why investors underperform an index. The list begins with
non-uniform acquisition and withdrawal dates and includes operating
costs as well as portfolio trading costs.DALBAR assesses and certifies financial firms. On its
homepage, above the logos of Fidelity, Ameriprise Financial, TIAA,
Voya Financial and Morgan Stanley, the phrase "The nation's top
financial institutions choose DALBAR" appears. The full QAIB study
costs US$975. An adviser's edition costs US$250 a year, and one
adviser may customise it and pass it on to clients. A firm can buy
the cover white-labelled with its own logo, at a price that depends
on how widely it is distributed. Advisers who recommend index funds
also cite this as evidence that investors are eroding their own
returns. The data shows that such a gap exists and can be measured.
The figure varies depending on the time period, index and fund
category.Successive editions report 4.32 points for the twenty
years to 2011 and 3.6 points for the twenty years to 2015. However,
this does not prove that the gap is a measure of investor error. The
reason for this is that both the dollar weighting and the funds' own
costs influence the figure without any incorrect decision having been
made. Buying on a record that does not carry forward shifts an
investor's own return in the same way, without any mistiming.One study attempted to isolate the timing aspect using
a different gap and a different sample. Fulkerson, Jordan, Riley and
Yan estimated the timing costs in Morningstar's Mind the Gap at 0.10
percentage points a year, based on Morningstar's own sample.
Morningstar itself quotes 1.2 points a year. No publication this
practice has been able to find separates advised from non-advised
accounts, so none of them measures the effect of advice.Sources DALBAR's own
QAIB page for the published content and sales,
the
QAIB FAQ page for data
sources, pricing and brand licensing, the
QAIB glossary for the calculation, and the
homepage for the certification business and
the companies listed there; DALBAR's
response dated 11 October 2017,
regarding the eleven reasons and its own statements on the
calculation, taken from the EconoTimes syndication of the DALBAR
press release. Wade Pfau,
Advisor Perspectives, 6 March
2017, where he also writes a monthly column, his
faculty page at The American
College of Financial Services, for the title, and his
bio at McLean Asset
Management, for the firm; Harry Sit,
"Does The DALBAR Study Grossly
Overstate The Behavior Gap?", Kitces.com, 3 October 2012, for
the 1992 to 2011 figures, with
NerdWallet for his own
advice-only service, because his own pages refuse an automated
read; the venue's
contributor page states that
it does not permit sales pitches, sponsored posts or videos.
Michael Edesess,
Advisor Perspectives, 9 October
2017, and his
faculty page, read 28 August
2026, for the university posts and the Compendium Finance role; and
Norm Rothery,
MoneySense, 31 March 2017,
for the twenty years to 2015 and for the summary of Pfau's
argument, who
holds a physics doctorate and
publishes a value stock newsletter. For the evidence:
Mark Carhart,
"On Persistence in Mutual Fund
Performance", Journal of Finance, 1997, and Eugene Fama and
Kenneth French,
"Luck versus Skill in the
Cross-Section of Mutual Fund Returns", Journal of Finance,
2010, both quoted from the published abstracts; Jon Fulkerson,
Bradford Jordan, Timothy Riley and Qing Yan,
"Bad Timing Does Not Cost
Investors 15% of Their Funds' Returns: An Examination of
Morningstar's 'Mind the Gap' Study", Financial Analysts
Journal, 12 May 2026; and
Index Fund Advisors, for one
such use. The two Advisor Perspectives addresses refused an
automated read again on 28 August 2026, so Pfau's argument is given
as Rothery's summary reports it, the Edesess article is named
without its argument, and DALBAR's reply to Pfau of 8 May 2017 is
named without a link for the same reason. That no publication
separating advised from non-advised accounts was found is this
practice's own search, of 28 August 2026.
"The best performing accounts belonged to investors who had
died or forgotten them", and "85% of speculators lose
money."The first is usually presented as a study by a major
fund manager, most often Fidelity. In this account, the fund manager
reviewed its own accounts and found that the best results were
achieved by accounts that nobody was trading in. The reasons given
were that the account holder had died, had forgotten the account
existed, or had been one of several heirs who could not reach an
agreement. No such study could be found, and the review published in
print reached the same conclusion. John Rekenthaler put the question
to Fidelity in a Morningstar column dated 6 October 2015: "My Fidelity
contact has not heard of such a thing, nor has Morningstar's Fidelity
Canada contact. Suffice it to say that none of these citations came
linked to the original source." Two later articles say the same in
passing. One is an article by Selena Maranjian on Motley Fool from
February 2025, whose headline states that the study does not exist.
The other is a post on Monevator from March 2021, which describes the
story as apocryphal. Monevator was initially part of the chain of
reports before becoming a sceptic. The same column records that in
June 2015 Monevator wrote that Fidelity had "released a study" to that
effect, which is what took the story from something a blog reported
to something said to be published.The earliest version that can be traced is more of an
anecdote than a study. In an episode of Masters in Business on
Bloomberg Radio in 2014, James O'Shaughnessy told Barry Ritholtz that
Fidelity had investigated which of its accounts had performed best. He
said the answer was the accounts of people who had forgotten they even
had one. He attributed this to an employee who had only recently
joined his firm. Business Insider transcribed this exchange on
4 September 2014, and this is the version to which most subsequent
retellings adhere. The word "dead" appeared in this conversation as a
conjecture by the interviewer and was corrected by the speaker. The
disagreeing heirs only appear in later retellings, and the
conversation mentions neither figures nor a time period nor a
document. There is a second strand running alongside this, and it is
the one that carries the dates.The same Morningstar article refers to an "internal
performance review of customer performance from 2003 to 2013" at
Fidelity, in which the top-performing accounts were "either dead or
inactive". It traces how this review was disseminated via a blog,
then a speech, and finally via Monevator in June 2015. Studies on the
same topic have already been published. Barber and Odean, in the
Journal of Finance in 2000, examined 66,465 households at one discount
broker between 1991 and 1996. All of these were self-directed
accounts without an adviser. The households that traded most
frequently achieved an annual return of 11.4% after costs, compared
with 17.9% for a market-cap-weighted index. The average household
achieved 16.4% and turned over approximately 75% of its portfolio
each year. Before costs were deducted, the average household achieved
18.7%. These households therefore roughly matched the index before
costs and fell below it after costs.The study itself concludes that "it is the cost of
trading and the frequency of trading, not portfolio selections, that
explain the poor investment performance of households during our
sample period". An analysis of turnover rate measures trading costs
rather than the return that would be achieved if an account were left
untouched. The second statement is often cited as a round figure, with
80%, 85%, 90% and 95% being mentioned.Published loss rates are available for certain groups
of traders, and they vary by group. Between 1992 and 2006, 81.4% of
Taiwanese day traders lost money. In 1998 and 1999, 64.2% of a sample
of 324 US day traders lost money. And 97% of Brazilian futures day
traders who were active for at least 300 days lost money. There is no
primary source that provides a single figure for speculators as a
whole. The round figures in circulation cannot be attributed to any
of these groups. Thomas Hieronymus's work on futures accounts from the
1960s is most frequently cited as the source. It can be checked
further than the page previously said. The book is available, and
none of the retellings contain a page reference.The figure usually attributed to this work appears in
a magazine article dated 22 September 1967 as an unattributed survey
statistic: "Another survey, this one of 418,000 commodities
transactions, turned up the fact that 75% ended in losses". It is
printed alongside a separate quotation from Hieronymus. Figures of
this magnitude do exist, but only in a specific context: among
regulatory authorities that record retail client accounts for a
particular leveraged product. The UK Financial Conduct Authority (FCA)
reported in December 2016 that 82% of clients in a representative
sample of client accounts with contracts for difference (CFD)
providers had lost money. It named no measurement period. When
announcing its 2018 product intervention, the European Securities and
Markets Authority (ESMA) stated that 74% to 89% of retail client
accounts typically lose money in national analyses. It cited average
losses per client of between 1,600 and 29,000 euros. ASIC reported
that 68% of retail clients trading contracts for difference had lost
money in the 2024 financial year. It put their total losses at more
than $458 million, including $73 million in fees. It also reported
that 70% of wholesale clients had lost money, with net losses of
$738 million. These are the known facts regarding a leveraged product
that was sold in three markets over different time periods.SourcesBusiness Insider, 4 September
2014, for the radio exchange; John Rekenthaler,
"In Praise of the Dead
(Investors)", Morningstar, 6 October 2015, read from the
syndicated copy because Morningstar's own archive could not be
opened, for the check with Fidelity and for the second strand;
The Motley Fool, 3 February
2025 and
Monevator, 25 March 2021, each
for its own passing conclusion that no such study exists; Barber and
Odean,
"Trading Is Hazardous to Your
Wealth", Journal of Finance, 2000. For the loss rates: Barber,
Lee, Liu and Odean,
"The Cross-Section of Speculator
Skill: Evidence from Day Trading", Journal of Financial Markets,
2014, whose figure is "81.4% of day traders in this sample lose
money unconditionally"; Jordan and Diltz,
"The Profitability of Day
Traders", Financial Analysts Journal, 2003, where "208 traders
(64.2 percent) had a net profit less than zero after commissions";
and Chague, De-Losso and Giovannetti,
"Day trading for a living?",
2020 working paper. The last two are quoted from their published
abstracts, because Taylor and Francis and SSRN both refuse an
automated read. Thomas Hieronymus, Economics of Futures Trading,
borrowable at the Internet
Archive; the survey statistic from
Time, 22 September 1967, whose
archive refuses an automated read and which was read with a browser
on 28 August 2026.
FCA, 6 December 2016;
ESMA, 27 March 2018; and
ASIC media release 26-004MR
with
ASIC Report 828, "Risky
business: Driving change in CFD issuers' distribution practices",
20 January 2026, which gives the figures to two decimals: 133,674
retail clients, 68.42%, $458.01 million of net losses and $73.29
million of fees. That no such Fidelity study was found is this
practice's own search, of 17 August 2026. That no primary source
establishes one figure for
speculators as a whole is this practice's own search, of 17 August
2026 and again on 28 August 2026, and not a published
finding.
Morningstar's "Mind the Gap"
Morningstar's "Mind the Gap" compares the return achieved by an
average dollar invested in a fund with the return of that same fund. This
is done for US mutual funds and exchange-traded funds (ETFs). The
published return of the fund is a time-weighted return on a dollar that
remained invested throughout the entire period. The average dollar
actually invested achieved a different return, which was generally lower.
The 2026 edition puts the difference for the ten-year period up to
December 2025 at around
1.2 percentage
points a year. During this period, the average dollar generated a return
of 8.7% a year, while the aggregate annual total return for these funds
stood at 9.9%. Morningstar's own series for the ten-year periods ending
in December 2021 to 2025, respectively, shows figures of 1.7, 1.7, 1.1,
1.2 and 1.2 percentage points. An article in the Financial Analysts
Journal from May 2026 re-examined the same sample. It estimated the
portion of the difference attributable to poor timing at
0.10
percentage points a year. The magnitude of the behaviour-related
component is therefore a matter of debate in the peer-reviewed
literature.
The figure quoted by Morningstar for Australia is much lower:
0.40 percentage
points a year over the five-year period to June 2023, based on 869
Australian funds. Part of the difference comes from the timing of inflows
and outflows rather than from investors' decisions. In the current issue,
US equity funds, at 0.4 points, and allocation funds, at 0.7 points, show
the smallest gaps by category. The largest gaps in this issue are recorded
by alternative funds, at 1.6, and sector equity funds, at 1.2. Morningstar
itself provides an explanation in its regional study as to why the gaps are
smallest in Australia and the UK. The explanation is that "these markets
are characterized by more holistic financial advice than the other markets
included in the study".
Source Morningstar,
"Mind the Gap 2026", published
6 August 2026, measured to 31 December 2025, for the United States
figures and the series; and
"Mind the Gap 2023: Investor Returns
Around the World", 4 October 2023, measured to 30 June 2023, for the
Australian figure. The re-examination is Jon Fulkerson, Bradford Jordan,
Timothy Riley and Qing Yan,
"Bad Timing Does Not Cost Investors 15%
of Their Funds' Returns: An Examination of Morningstar's 'Mind the Gap'
Study", Financial Analysts Journal, 12 May 2026, which is the same
paper the second statement above cites. Morningstar sells products in the
market it measures: its
2025 annual report states that it
licenses its own indices "to numerous institutions to use as the basis
for ETFs, mutual funds, derivatives and separately managed accounts" and
that it had about US$378.0 billion of assets under management and
advisement at 31 December 2025.
About
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In Your Interest Financial Planning. In Your Interest
Financial Planning Pty Ltd, ABN 28 094 300 464 is Authorised Rep. No
308161 of Fiduciary Duty Advisers Pty Ltd AFSL No 527434. Nothing on
this page is advice to you or to your clients, and nothing on it is a
recommendation of any fund or any strategy. Corrections are welcome and
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