Data quality
We first verify what the data actually measure, where they come from, when they were available and whether they remain reliable over time.
Companies. Economic activity. Financial markets.
We study exceptional historical cases of growth and value creation. We look for what was changing before the result became obvious.
We look for recurring patterns that may help us recognise future opportunities earlier.
We combine economic, company and market data with applied mathematics and practical knowledge of financial markets.
We identify measurable change and turn it into testable hypotheses.
We test whether its informational value holds over time and outside the original sample.
For market hypotheses, we go further and test them in simulations that reflect real market conditions.
How we validate a hypothesis
Mathematical validation
We test the relationship, its stability, lead time and alternative explanations. The result must also hold outside the data on which the hypothesis was developed.
Market reality
For market hypotheses, we also test timing, costs, liquidity, feasibility and capacity.
Without these layers, we do not consider a market hypothesis validated.
We are not interested in the volume of data or in a single compelling signal. We are interested in evidence that withstands attempts to disprove it.
Examples of research questions
These examples show how real-world data can be turned into a testable research question.
Consumer demand
Do actual customer expenditures change before the shift appears in a company’s reported revenue or in market expectations?
We track the change over time, compare it with company results and test whether the lead remains stable outside the original period.
Physical activity
Does a change in visits to physical locations contain information before it appears in economic performance or standard summary indicators?
We separate seasonality, changes in the composition of comparable locations and other effects that can distort a simple comparison.
Digital activity
Does growth in the use of a digital product precede a change in economic results, or does it simply follow a broader market or industry trend?
We compare the development with the company’s own history, a relevant peer group, financial results and market expectations.
What research produces
Depending on the question, the result is one or more of the following:
a validated or rejected hypothesis;
a measurable variable or indicator;
a structured dataset;
ongoing monitoring;
a validation report documenting the methodology, limitations and conditions of validity.
How we work
Find
Identify a change worth examining and define the question precisely.
Validate
Test data quality, the mathematical relationship, alternative explanations, robustness and timing.
Build
Turn what has held up into a repeatable research, data or validation process.
Find what matters. Validate what holds. Build what works.