What we study
Companies
Growth, cash flow, market position, market share, market attention, industry structure and other variables related to economic performance or value creation.
Economic activity
Consumer demand, expenditures, physical and digital activity and other measurable expressions of economic behaviour.
Markets
Prices, volumes, liquidity, expectations, relative behaviour and other variables relevant to assessing information and its timing.
Technology
Technology adoption, use of digital products and areas where technology changes productivity, information flow, decision-making or process structure.
Assets and opportunities
Characteristics of different asset classes and economic opportunities, their sources of value, risks, liquidity, time horizons and the conditions under which a hypothesis becomes relevant in practice.
From question to conclusion
Question
Define precisely what we want to determine and what would invalidate the hypothesis.
Data
Verify what the data actually measure, where they come from, when they were available and whether they remain comparable over time.
Measurement
Turn relevant change into comparable variables and a relationship that can be tested systematically.
Test
Examine the relationship, alternative explanations, timing, robustness and behaviour outside the original sample.
Conclusion
Close the hypothesis with a decision to accept it for further use, monitor it or reject it.
What research can produce
Depending on the question, research may produce:
- a validated or rejected hypothesis
- a measurable variable or indicator
- structured data
- a validation conclusion or research report
- a specification for a subsequent process or technology solution
Where the question requires it, research may be followed by ongoing tracking of relevant variables over time.
Selected outputs may be delivered externally depending on project scope, purpose and data rights. Proprietary market hypotheses, their interpretation, decision rules and use in allocating our own capital remain internal.
Examples of testable questions
These examples show how an observed change can be turned into a question that can be measured and tested. They are illustrative questions, not reported results.
Consumer demand
Does customer spending change before the shift appears in reported revenue or market expectations?
We compare spending over time with company results and test whether any lead persists outside the original period.
Location visits
Do changes in visits to physical locations appear before changes in company performance?
We adjust for seasonality and changes in location coverage before testing the relationship.
Product usage
Does a change in product usage appear before a change in financial results, or simply reflect a broader industry trend?
We compare usage with the company’s history, relevant peers, financial results and market expectations.