Macro analysis and decision-making are often treated as separate problems.

I work with investment teams and institutions to turn macroeconomic information into structured forecasting and decision frameworks. The focus is on applying macro analysis through data and models in a way that is consistent and usable.

My work is not limited to advising. I often work directly with teams to build internal capability, developing practical skills in forecasting, modeling, and macro analysis within the context of their own data and decisions.

This work also extends through an ongoing partnership with Haver Analytics, where the focus is on applied macro and data-driven workflows.

The Work

Engagements typically begin with a focused review of how macroeconomic information is currently interpreted and used, how data is handled, how models are built, and how views translate into decisions.

From there, the work becomes practical and applied. This may involve refining forecasting models, structuring how analysis is carried out, or working directly with teams to improve how information is used.

The form varies. The objective is consistent: to make macro analysis more structured, repeatable, and decision-relevant.

Context

This work is most relevant for organizations whose decisions are shaped by macroeconomic conditions.

I have worked across investment firms, private sector organizations, and policy institutions, including central banks, where understanding the interaction between growth, inflation, and markets is central to decision-making.

In each case, the challenge is similar: translating macroeconomic information into a process that informs real decisions.

If you’re thinking about how macro fits into your forecasting or decision process, feel free to reach out.