Economic analysts are increasingly discounting consumer and business sentiment surveys like the ISM print. A growing disconnect between what these surveys report (e.g., consumer misery) and actual economic behavior (e.g., stable spending) forces a greater reliance on hard data.
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In today's economy, volatile GDP figures are less reliable than employment data for gauging economic health. The Fed Chair's focus on potential downward revisions to job growth, despite positive GDP forecasts, indicates a significant shift in which indicators are driving monetary policy decisions.
The ratio of leading-to-coincident economic indicators is at historic lows seen only in deep recessions (1982, 2009). However, this may be skewed by the leading indicators' reliance on extremely negative consumer sentiment surveys. This divergence suggests we might be at the bottom of a cycle, not the beginning of a downturn.
The podcast's economists assess the probability of a recession in the next year at 40-45%, significantly higher than the consensus view of 25-30%. This heightened risk is based on deteriorating labor market trends and is corroborated by Moody's own machine learning models.
The University of Michigan's "Current Conditions Index" has fallen to its lowest point since 1978, indicating extreme dissatisfaction with the present economy. This pessimism is deeper than during the Great Recession, even as consumers maintain some hope for improvement in the next six months.
Real consumer spending is up only 1% year-to-date (non-annualized), which annualizes to a weak 1.5%. This is a significant slowdown from the typical 2-2.5% growth in previous years, indicating that consumers are substantially pulling back their expenditures.
The University of Michigan consumer sentiment survey reveals a massive, near-record 60-point gap between Republicans and Democrats. This extreme polarization suggests that respondents' perceptions of the economy are now overwhelmingly shaped by their political affiliation, making the aggregate survey data a less reliable measure of underlying economic health.
A major disconnect exists between Wall Street and Main Street. While jobs data points towards a potential recession, the S&P 500 is hitting record highs. Since recessions are historically preceded by market downturns, investors are signaling a strong disbelief in the negative labor market signals.
In a machine learning algorithm designed by Moody's to predict recessions, aggregate building permits (single-family and multifamily) emerged as the single most important variable. A decline in permits is a powerful signal of elevated recession risk for the entire economy.
Unlike retail sales figures distorted by inflation or credit, freight transaction volume directly reflects physical demand. This makes it a more reliable, real-time indicator of the goods economy's health, representing a 'moment of truth' in consumption.
Large, negative revisions to economic data often occur around major economic turning points. This is because companies hit first by a downturn are more likely to delay reporting their data, which makes the initial economic reports appear stronger than reality.
