Inflation
Ask whether a change in headline CPI came from energy or extended across underlying goods and services. That changes the question to put to the Fed outlook.
US economic data
US economic release analysis
An upside surprise tells you that a figure exceeded expectations. Its composition tells you whether the outlook deserves another look. Troia’s approach to US economic release analysis separates the reported figure, revisions to earlier months and the components driving the change. Where a comparable consensus estimate is available, it also shows how the release differed from expectations.
Those distinctions matter on release day. A strong payroll headline accompanied by downward revisions poses a different question from a gain spread across industries with earlier figures revised higher. Both deserve a closer reading before drawing a policy conclusion.
Which releases the framework covers
Troia’s report framework includes the Consumer Price Index (CPI), the US employment report, weekly initial jobless claims, retail sales, personal consumption expenditures (PCE), gross domestic product (GDP), and key business surveys.
Readings across these series can refer to different periods. Monthly payroll employment and weekly claims, for example, capture different aspects of the labour market and can move in different directions.
Research workflow
- Establish the printCheck the period, units, prior reading and available expectation.
- Find the driversIdentify the components and revisions that account for the change.
- Test persistenceCompare the signal with related series and forward indicators.
Read the sequence as well as the surprise
Establish the observation period and the previous figure as revised. Then compare the direction of the latest change with the recent trend. Forward-looking components, such as the new orders in a business survey, can help frame what to watch next.
In the investment process
Employment
Read payroll growth alongside revisions, unemployment and earnings. Look for independent confirmation when the establishment and household surveys send different signals.
Example research question
How much of the apparent change in hiring reflects the latest month, and how much comes from revisions?