Quant Reports

Report Studio

What your reports can show

Twenty-four capabilities, grouped by the question a buyer or practitioner actually asks. Variants that differ only by window or render target are grouped, not listed as a catalogue.

app.quantreports.com · Chart builderConcept
Chart builderWizard + stacked-bar preview. Designer: Category 1/2/3 dummy data, QR teal stack.

Capabilities, not a widget changelog The library is organised by the question the report has to answer — allocation, look-through, attribution, risk, peers — with the real calculation named in the answer. Australian financial-year returns sit as their own group: 1 July to 30 June, labelled by the year they end in. These capabilities do not change because the source is a platform feed, a custodian file or a spreadsheet.

Jump to a capability

Allocation and holdings

What is the portfolio allocated to?
Asset allocation across classes, in chart and table form, with optional neutral, range and target columns so the strategic position sits next to the actual one.
Portfolio analytics
What exactly is held, and how much of each?
Full holdings disclosure, plus ranked top-N lists with a total row so readers see what the shown rows sum to.
Portfolio analytics
How far is the portfolio from its strategic position?
Actual allocation against the configured neutral position, and the excess either side of it.
Portfolio analytics

Exposure and look-through

What companies does the portfolio really own?
Look-through weighting — exposure to a company summed across every fund holding it, so four funds owning the same bank aggregate into one line.
Portfolio analytics
Where is the equity risk concentrated?
Sector and industry exposure on a look-through basis, optionally against the benchmark to show deliberate differences.
Portfolio analytics
What countries is the portfolio exposed to?
Country exposure from the domicile of each underlying holding, weighted by size. The figure is look-through, not a fund's listed domicile.
Portfolio analytics
What is the credit and size profile?
Fixed-income exposure by credit-quality band, and equity exposure by market-capitalisation band.
Portfolio analytics

Contribution and attribution

Which holdings drove the return?
Contribution by holding, with separate contributor and detractor views, aggregated to asset-class level where wanted. Available from weights or from actual dollar movements.
Portfolio analytics
Was the return from allocation or selection?
Brinson attribution, asset class by asset class, period by period — the same split a committee pack uses when it asks where the alpha came from.
Portfolio analytics

Performance

What would an investment have grown to?
Growth of a nominal investment (VAMI), defaulting to $100,000, in static and interactive forms, with benchmarks alongside.
Fund factsheets
How has it performed over standard periods?
Return summaries across periods, compounded under 12 months and annualised beyond, against performance, risk or peer benchmarks.
Portfolio analytics
How consistent has it been month to month?
Monthly and annual return grids in calendar layout, with benchmark comparison so each month reads as a win or a loss.
Portfolio analytics
How is the return split between income and growth?
Total return separated into the distribution component and the price movement — the split retiree and SMSF reports usually need.
Fund factsheets

Australian financial-year reporting

What were the returns by Australian financial year?
Returns on the 1 July to 30 June year, labelled by the year they end in, with benchmark and excess return per year and an annualised summary. Part-finished years show as FYTD.
Fund factsheets

Risk

How bad did losses get, and how long was recovery?
Drawdown over time and the largest drawdown episodes per period, against benchmark and peers.
Portfolio analytics
How volatile has it been?
Volatility as annualised standard deviation, over standard periods and as rolling windows so risk rising and falling is visible.
Portfolio analytics
Does it move with the benchmark or independently?
Rolling correlation against the benchmark, and a correlation matrix across holdings.
Portfolio analytics
What does the spread of returns look like?
Distribution of periodic returns in 1% bands, so the shape of the ride is visible rather than only the average.
Portfolio analytics

Risk-adjusted return and statistics

Did the return justify the risk taken?
Risk-adjusted measures — Sharpe, Sortino, beta, tracking error — computed against a configurable risk-free rate, defaulting to the RBA cash rate.
Portfolio analytics
How does risk compare to return visually?
Risk-versus-return scatters over rolling or since-inception windows, against benchmarks or a peer cloud.
Portfolio analytics
How often does it win, and by how much?
Consistency statistics — hit rate against benchmark, average gain in winning months, average loss in losing ones, and up/down market capture split by what the benchmark did.
Portfolio analytics

Peers and percentiles

How does it compare to similar funds?
Peer group comparison over selected periods, and risk/return positioning within a peer cloud.
Portfolio analytics
Where does it rank?
Percentile and quartile placement against a comparison group's 5th, 25th, median, 75th and 95th bands. Ranked on return alone.
Portfolio analytics

Custom

Can we build something not in the library?
User-authored widgets storing values per period, and SQL-backed widgets driven by a query against the reporting model.
See Report Studio

See these in a branded report

Report Studio places the library. Data Studio runs the calculations. The factsheet, committee pack and live chart read from the same figures.