How simulations are calculated

Many all-in-one funds are only a few years old. To compare them with older funds, a simulation estimates how their mix of investments would have done before they launched. This page explains how it works and how close it has come to real results.

The short version

Every all-in-one fund publishes its mix, for example 36% Australian shares, 26.5% global shares and so on. This page calls each kind of investment in a mix an ingredient. For the years before a fund launched, the simulation works out what its mix would have returned each day from the real returns of ASX index ETFs that hold the same kinds of investments. Before 2013 it uses stand-ins: US-listed index funds converted to Australian dollars, and Australian interest rates for bonds and cash. It then takes off the fund's fee. For a geared fund (one that borrows to invest more), it also allows for the loan and its interest.

From launch day, a fund's figures use only its own real prices. The exceptions are DZZF, DGGF and IGRO. They traded so rarely at first that their prices didn't follow the value of what they held, so DZZF and DGGF are simulated until 2021 and IGRO until 2024.

The three periods in a fund's history

  1. Before every ingredient has data. Nothing is shown. The simulation never guesses at a missing ingredient or goes back before January 1997.
  2. From when every ingredient has data, up to launch. This part is simulated. Charts draw it as a dotted line, and tables mark any figure that uses it with an asterisk (*).
  3. From launch to today. Real prices, with distributions (the income a fund pays out) reinvested.

For example, VDHG launched in November 2017 and its simulation starts in January 1997. GHHF launched in April 2024 and also starts in January 1997, so all but the last two and a half years of its figures since 2000 are simulated. VanEck's all-in-one funds start in April 2019, when data for their youngest ingredient (global listed property, hedged) begins. The Since column of the All-in-one ETFs table shows each fund's start dates.

Where each fund's mix comes from

Each mix comes from the documents of the company that runs the fund (the issuer): its product disclosure statement (PDS), web page or holdings file, using the most detailed split the issuer publishes. When an issuer gives only a broad group, such as "international shares", the whole group goes in one ingredient, in this case global shares.

The ingredients

Each ingredient uses ASX index ETFs from the dates in the second column. Before that, it uses the stand-in in the third column, if it has one. A hedged fund cancels out most of the effect of exchange rate changes on its returns. The Portfolio page uses the same ingredients to extend single ETFs, such as VAS or GOLD, back before they launched.

InvestmentETFs usedBefore the ETFsData from
Australian sharesVAS, from Jan 2013EWA, a US-listed fund of Australian shares, in Australian dollarsMar 1996
Australian small companiesVSO, from Jan 2013NoneJan 2013
Australian listed propertyVAP, from Jan 2013NoneJan 2013
Global sharesWXOZ from Mar 2013, then VGSVanguard's US 500, European and Pacific index funds (VFINX, VEURX, VPACX), in Australian dollarsJan 1996
Global shares, hedgedVGAD, from Nov 2014The same three Vanguard funds, hedgedJan 1996
Global small companiesIJR from Jan 2013, then VISMVanguard's US small companies index fund (NAESX), in Australian dollarsJan 1996
Emerging markets sharesIEM from Jan 2013, then VGEVanguard's US-listed emerging markets index fund (VEIEX), in Australian dollarsJan 1996
Emerging markets shares, including South KoreaIEM, from Jan 2013VEIEX, which followed the same index as IEM until 2013, in Australian dollarsJan 1996
Global shares outside the US and AustraliaIVE, from Jan 2013US-listed funds for Europe, Japan and Canada (VEURX, EWJ, EWC), in Australian dollarsJan 1996
Global listed infrastructure, hedgedIFRA, from Apr 2016NoneApr 2016
Global listed property, hedgedREIT, from Mar 2019NoneMar 2019
Nasdaq-100 sharesNDQ, from May 2015QQQ, the US-listed Nasdaq-100 fund, in Australian dollarsMar 1999
US shares (S&P 500)IVV, from Jan 2016Vanguard's US 500 index fund (VFINX), in Australian dollarsJan 1996
GoldGOLD, from Jan 2011GLD, the US-listed gold fund, from Nov 2004, and gold futures before that, in Australian dollarsJan 1996
Australian bondsVAF, from Jan 2013Worked out from the 10 year Australian Government bond yieldJan 1996
Global bonds, hedgedVIF from Dec 2015, then VBNDVanguard's US bond index fund (VBMFX), hedgedJan 1996
CashAAA, from Jan 2013The 3 month bank bill interest rateJan 1996

A stand-in only fills the dates before the ETF that takes over from it has data. It must also pass a test against that ETF, over at least 3 years when both have data. Their monthly returns must move closely together, with a correlation of 0.9 or more (where 1 is a perfect match). Their annual returns must be within 1.5% a year of each other. Some older ETFs failed and aren't used. For example, VGS failed as a stand-in for VGAD, which holds the same shares but is hedged. Exchange rate changes made their returns differ too much.

BEMG and EXUS don't yet have 3 years of real prices, so their stand-ins can't be tested this way. BEMG's stand-in is IEM, which tracks the same index. EXUS's is IVE, which holds a slightly different set of countries. Their pages show how closely IEM and IVE have followed them so far.

Before 2013

Yahoo Finance prices for ASX ETFs include distributions only from January 2013. Before then they show price changes alone, so they aren't used. For earlier years:

Each of these stand-ins passed the test above against the ETF that took over from it:

Stand-inChecked againstYears comparedCorrelationDifference in annual return
EWA in Australian dollarsVAS13.50.95-0.50%
Vanguard global mix in Australian dollarsWXOZ13.30.97+0.74%
Vanguard global mix, hedgedVGAD11.70.98+0.46%
NAESX in Australian dollarsIJR13.50.95-0.04%
VEIEX in Australian dollarsIEM13.50.92-0.24%
VEURX, EWJ and EWC in Australian dollarsIVE4.00.97+0.35%
Bond yield calculationVAF13.50.96-0.15%
VBMFX, hedgedVIF10.60.91+0.63%
QQQ in Australian dollarsNDQ11.20.99+0.56%
VFINX in Australian dollarsIVV10.70.96+0.16%
GLD in Australian dollarsGOLD15.70.970.00%
Gold futures in Australian dollarsGLD17.10.99+0.46%
Bank bill rateAAA13.5Not used for cash-0.30%

Cash returns barely change from month to month, so correlation says little about them. Cash is tested on annual return alone. The Australian shares, global shares, Australian bonds and cash ingredients were also compared with published index returns for each decade from 1996 to 2026.

Factor funds

Dimensional's and Avantis's funds are factor funds. Compared with the market as a whole, they hold more of smaller companies, value companies (those with low share prices compared with the value of their net assets) and more profitable companies. Index ETFs don't do this, so these funds aren't simulated from a mix. Where they exist, each uses stand-ins that pick companies the same way:

FundBefore it traded, the simulation usesSimulated from
DACEIts unlisted units from Jan 2014, then VAS, then EWAJan 1997
DGCE and DFGH (hedged)Their unlisted units from Jan 2014, then Dimensional's US core equity funds (DFQTX, DFIEX) from Sept 2005, then the Vanguard global shares fundsJan 1997
DGVADimensional's US Large Cap Value and International Value funds (DFLVX, DFIVX)Jan 1997
DGSMDimensional's US Small Cap and International Small Company funds (DFSTX, DFISX)Jan 1997
AVNGAvantis's US Equity and International Equity funds (AVUS, AVDE) from Sept 2019, then Dimensional's US core equity funds from Sept 2005, then the Vanguard global shares fundsJan 1997
AVSVAvantis's small value funds (AVUV, AVDV) from Sept 2019, then Dimensional's (DFSVX, DISVX)Jan 1997
AVTEAvantis's emerging markets fund (AVEM) from Sept 2019, then Dimensional's (DFEMX)Jan 1997
DAVANot simulated: no stand-in holds Australian value companiesAug 2024

Where there are 3 years to compare, each stand-in passed the test above against the one that takes over from it. DGVA and DGSM have traded for only 2 years, but Dimensional publishes the yearly returns of their unlisted funds, which gives a longer check: over the 10 years to August 2026 their simulations came within 0.1% and 0.4% a year of them, and since those funds began (1999 and 2000) within 0.5% and 0.1% a year. Each fund's page gives its own checks.

How each day's return is worked out

For an ungeared fund, the simulation multiplies each ingredient's return that day by its percentage of the mix, adds them up, and takes off one day of the fund's fee. Say a fund is 40% Australian shares and 60% global shares. If VAS rises 1% and VGS falls 0.5% on the same day, the mix returns 0.4 × 1% + 0.6 × -0.5% = 0.1% before the fee. If an ingredient doesn't trade on a day, its move counts on its next trading day.

The simulation resets to the fund's mix every day. Real funds rebalance (trade back to their mix) less often, but checks found this makes little difference for ungeared funds. The ingredient ETFs and US funds already have their own fees taken out of their returns. The fund's fee comes off as well, so the simulation tends to come out slightly low.

Geared funds

The geared funds (GHHF, GGBL and GNDQ) keep their borrowing between 30% and 40% of their total assets. This is their loan-to-value ratio (LVR). The loan is a share of the fund's total assets, not of investors' own money, so $1 of investors' money buys more than $1.30 to $1.40 of assets:

These funds don't reset their borrowing every day, as many leveraged funds in the US do. The loan doesn't move with prices, so the LVR rises when the market falls and drops when it rises. At 35% LVR, $1.54 of assets carries a $0.54 loan. After a 10% fall the assets are worth $1.38 and the loan is still $0.54, an LVR of 39%. Betashares checks the LVR every day and says it rebalances only when the LVR moves outside 30% to 40%. Above 40% the fund sells assets and repays part of the loan. Below 30% it borrows more and buys more.

The simulation works the same way. It starts at 35% LVR. Each day it:

The funds' product disclosure statement doesn't say what level they go back to. The simulation uses the middle of the range, as Betashares does in its own simulations of these funds, and the LVRs Betashares publishes fit it. GHHF's went from 34.6% at launch in April 2024 to 30.5% in June 2025, and was 35.4% by August 2025. GNDQ's rose from 30.8% to 37.7% in the fall of early 2025 without going back to 35%. Replayed on the ETFs GHHF holds, the simulated LVR stayed within 1.4 points of every GHHF value found, and topped up the loan in late July 2025. Adding interest and the fee to the loan matched those values more closely than taking them from the assets.

From 1997 to its launch, the simulated GHHF borrowed more 12 times and repaid part of its loan 9 times. Because the loan carries over from one day to the next, the return over any period depends on where the LVR stood when it began. Every chart, table and portfolio that shows a geared fund's simulated years uses the same simulation, which starts in January 1997 (March 1999 for GNDQ).

Joining the simulation to real prices

The simulated line is scaled to end exactly at the fund's first real price, so the chart is one continuous line with no jump on launch day.

How close has it been?

This table compares the simulation with real returns over the years each fund has traded, as at September 2026. Annual return is the average growth per year, with growth compounding. Drawdown is the largest drop from a high point to a later low. For the geared funds, this check starts the loan at 35% LVR on launch day, close to where the real funds began (GHHF 34.6%, GNDQ 34.8% soon after launch).

FundYears of real pricesReal annual returnSimulated annual returnReal drawdownSimulated drawdown
VDHG8.89.51%9.39%-28.3%-28.7%
VDGR8.87.65%7.60%-23.9%-23.9%
VDBA8.85.77%5.66%-18.3%-18.9%
VDCO8.83.98%3.84%-13.4%-13.3%
DHHF6.810.30%10.67%-28.5%-27.9%
GHHF (geared)2.418.84%17.46%-20.2%-20.7%
GNDQ (geared)1.923.11%22.98%-30.9%-31.4%
VDAL1.514.74%12.77%-9.6%-10.3%

For the five funds with 7 to 9 years of real prices, the simulation came within 0.4% a year of the real annual return, and within 0.6 percentage points of the real drawdown. For geared GHHF it came in about 1.4% a year below. Most of that gap is the ingredients, not the borrowing. Over those years the Betashares ETFs GHHF holds returned about 0.8% a year more than the Vanguard ETFs the simulation uses, and gearing magnifies the difference. Run on GHHF's own ETFs, the simulation came within 0.2% a year. GNDQ holds NDQ, the same ETF its simulation uses, so its row checks the borrowing alone: it came within 0.2% a year. Over so short a time, where the loan starts matters too. Carried on from 1999, the simulation reaches GNDQ's launch at 31.3% LVR and comes in about 3% a year below. For VDAL it came in about 2% a year below, but over only 1.5 years, which is too short to judge. All of these funds launched after 2013, so this table only checks the ASX ETFs. The table above checks the stand-ins used before them.

Limits of the simulation

Where the data comes from

This page explains a method. It is general information only, not financial advice.