A handful of obscure economic benchmarks quietly shape the Federal Reserve's interest rate decisions, yet most of the business world rarely considers them. That blind spot can be costly. As Trepp Chief Economist Rachel Szymanski notes, these underlying gauges become especially important during periods of mixed signals—when inflation, growth, and employment data pull in different directions and policy becomes less predictable.
Szymanski argues that understanding these benchmarks is not just an academic exercise. A leadership transition at the Fed can shift how each is interpreted, with real consequences for borrowing costs, investment activity, and asset pricing. As she wrote, a "new chair can affect how incoming data are weighed, especially when inflation, growth, and labor-market signals are pointing in different directions."
At the center of the Fed's framework are four key measures: r*, u*, y* or g* and π*. While widely used by economists, they remain largely invisible to many market participants—including those in commercial real estate, where rate sensitivity is particularly acute.
The first, r*, or r-star, represents the neutral short-term interest rate that neither stimulates nor restrains economic growth. It is often referenced indirectly in Fed language describing policy as "restrictive," "neutral," or "accommodative."
The challenge is that r* cannot be directly observed and must be estimated. According to Morningstar Senior Reporter Sarah Hansen, the median estimate among Fed officials last fall was 3%, with then-Chair Jerome Powell described policy as "moderately restrictive" or slightly above that level.
For commercial real estate, r* functions as a moving baseline for capital costs. When policy rates sit above this threshold, borrowing becomes more expensive and transaction volumes tend to slow, even if property fundamentals remain intact. When rates fall closer to or below r*, capital tends to flow more freely, supporting deal activity and refinancing.
The second benchmark, u*, reflects the unemployment rate consistent with stable inflation, often referred to as the natural rate of unemployment. It captures labor market dynamics such as skills mismatches and structural changes like automation. Terms like "tight labor market," "slack" and "rebalancing" all stem from how actual unemployment compares to this level.
A labor market running tighter than u* can support consumer spending and tenant demand across sectors, particularly retail and multifamily. However, it can also contribute to wage-driven inflation, increasing the likelihood of rate hikes that weigh on valuations and financing conditions.
The third set of measures, y* and g*, refers to potential economic output and sustainable growth. These benchmarks define how fast the economy can expand without generating inflationary pressure. When growth exceeds this "speed limit," the economy is described as "running hot." When it falls short, there is slack.
In CRE, above-trend growth typically translates to stronger occupancy, rent growth and leasing activity. But that same strength can trigger tighter monetary policy, dampening investment sales and development pipelines. Conversely, slower growth may ease rate pressure but weaken tenant demand and property income.
The final benchmark, π*, is the Fed's explicit inflation target, currently set at 2%. Unlike the other measures, this is directly determined by policymakers and serves as the anchor for monetary policy decisions.
Szymanski emphasizes that these benchmarks interact through a broader economic mechanism shaped by supply and demand. The supply side includes labor availability, business investment and productivity, while demand reflects spending by households, businesses, government and foreign buyers.
"What causes the economy to run above or below the speed limit is primarily the demand side: how much households spend, how much businesses invest, how much the government spends, and how much foreign buyers add through net exports," Szymanski writes.
When demand pushes the economy beyond its natural capacity, inflation builds, prompting the Fed to respond. When demand weakens, slack emerges, often leading to more accommodative policy.
For commercial real estate, this interplay creates a persistent tension. Strong growth supports fundamentals such as occupancy and rent levels, but it can also lead to higher interest rates that suppress transaction activity and refinancing. Weaker growth may relieve pressure on rates, but at the cost of softer leasing demand and potential declines in property income.
That dynamic helps explain why the same economic data release can produce conflicting signals for CRE. A strong jobs report may boost confidence in tenant demand while simultaneously raising concerns about future rate hikes. Ultimately, the impact depends less on the data itself and more on how the Fed interprets it through the lens of these four benchmarks.
© Arc, All Rights Reserved. Request academic re-use from www.copyright.com. All other uses, submit a request to TMSalesOperations@arc-network.com. For more information visit Asset & Logo Licensing.