This is different.
The first three tiers are insight and judgment products. They do not include economic models by default. They are built on analyst judgment, scenario logic, market interpretation, strategic framing, public context, client-facing explanation, and research-backed thinking. They can go very deep. But they are not custom econometric research.
Research Build is a research product. This is where data, charts, evidence, methodology, and modeling begin.
The Analyst Report gives you the map: where the exposure is, how the shock transmits, what to watch. The Research Build builds the scientific evidence layer behind that map: data, charts, indicators, econometric methodology, and technical depth applied to your specific question.
If your project involves data collection, scientific research, modeling, or technical documentation, a Research Build is the right scope. Four sub-tiers cover everything from a focused evidence brief to a full institutional research package, including data, charts, methodology, modeling, Python/R, technical appendix, and reproducibility files.
Research Build Lite
$799–$1,200
Evidence and simple charts, but not advanced modeling.
ElementIncluded?
One research questionYes
Public data collectionLight
Simple charts3–5
Descriptive analysisYes
Scenario interpretationYes
Strategic judgmentYes
PDF reportYes
Pages10–14 pages
Words2,500–4,000 words
Custom modelingNo
Python/R pipelineUsually no
Technical appendixNo
Example
✓“Can you show how rates, volatility, and equity performance relate to this portfolio exposure?”
That starts around $799–$1,200.
Research Build Standard
$1,500–$2,500
Serious research report with data, charts, and a clear methodology note.
ElementIncluded?
One clear research questionYes
Public dataset collectionYes
Data cleaningBasic/moderate
Charts/tables5–10
Descriptive statisticsYes
Comparative analysisYes
Scenario frameworkYes
Methodology noteYes
Strategic interpretationYes
PDF reportYes
Pages10–18 pages
Words3,000–5,000 words
Advanced modelingOnly if simple and agreed
Python/R filesOptional add-on
Technical appendixLight
Example
✓“Can you build a research report on AI infrastructure exposure through rates, energy, private credit, and equity concentration?”
That is usually $1,500–$2,500.
Research Build Advanced
$3,000–$5,000+
Custom methodology, modeling, reproducibility, or advanced analysis.
ElementIncluded?
Research designYes
Dataset constructionYes
Data cleaningYes
Python/R analysisYes
Advanced chartsYes
Technical appendixYes
Methodology documentationYes
Reproducibility filesIf agreed
ModelsIf agreed
PDF reportYes
Pages20–35 pages
Words6,000–10,000+ words
RevisionMore formal
Possible methods
Included, if appropriate:
volatility analysiscorrelation analysisrolling-window indicatorsGARCH-style volatility logicextreme value theorycopula modelingCCA / canonical dependence logicnetwork risk mapstransfer entropywavelet-based framingMonte Carlo scenario logicsector/asset comparisonshock-transmission frameworklocal projections (Jordà)machine learningtime series analysisdynamic panel dataLASSO-VARpenalized regressiondimensionality reductionsparse estimationhigh-dimensional databig data
Example
✓“Can you build a research report on S&P 500 sector exposure to global macro shocks using volatility, correlation, and network indicators?”
That is $3,000+.
Institutional Research Build
Custom quote
Multi-market, recurring, or institutional-grade research.
ElementIncluded?
Multiple markets/exposuresYes
Client-facing research deckYes
Recurring productYes
Data pipeline / dashboardYes
Multiple revisionsYes
Formal scope of workYes
✓Public data collection from credible sources
✓Data cleaning and transformation within defined scope
✓Custom charts, tables, and descriptive indicators
✓Volatility, correlation, drawdown, liquidity, or spread analysis when suitable
✓Scenario indicators and early-warning dashboards
✓Transmission-channel analysis with evidence support
✓Methodology note explaining what was done and why
✓Technical appendix for more advanced scopes
✓Econometric modelling for advanced scopes
✓Python/R code or reproducibility package when explicitly agreed in scope
✓Model limitations and interpretation boundaries
·Proprietary data purchase unless you pay for access or provide the data
·Investment recommendations, trading signals, or guaranteed forecasts
·Regulated financial advice
·Institutional-grade model validation unless priced as an advanced project
·Unlimited revisions, endless data requests, or open-ended methodological expansion
·A guaranteed conclusion. Research may reveal a weaker or different result than expected
