interest rates compared to
Federal Funds Rate. When the short term interest rates get above the long term interest rates it is known as an
Inverted yield curve. When the
Fed raises the Federal Funds Rate it pushes up the shorter term interest rates. job seekers ratio 1949-2024 Recessions are very challenging to predict. While some variables like the
(inverted) yield curve appear to be more useful to predict a recession ahead of time than other variables, no single variable has proven to be an always reliable predictor whether recessions will actually (soon) appear, let alone predicting their sharpness and severity in terms of duration. The following variables and indicators are used by economists, like e.g.
Paul Krugman or
Joseph Stiglitz, to try to predict the possibility of a recession: • The U.S. Conference Board's Present Situation Index year-over-year change turns negative by more than 15 points before a recession. • The U.S. Conference Board Leading Economic Indicator year-over-year change turns negative before a recession. • When the CFNAI Diffusion Index drops below the value of −0.35, then there is an of the beginning a recession. Usually, the signal happens in the three months of the recession. The CFNAI Diffusion Index signal tends to happen about one month before a related signal by the CFNAI-MA3 (3-month moving average) drops below the −0.7 level. The CFNAI-MA3 correctly identified the 7 recessions between March 1967 – August 2019, while triggering only 2 false alarms. Except for the above, there are no known completely reliable predictors. Analysis by
Prakash Loungani of the
International Monetary Fund found that only two of the sixty recessions around the world during the 1990s had been predicted by a consensus of economists one year earlier, while there were zero consensus predictions one year earlier for the 49 recessions during 2009. However, the following are considered possible predictors: Firms tend to react to worsening business cycle circumstances by lowering hours worked before laying off workers, according to Glosser and Golden (1997). This popular indicator leads industrial production by two to four months. • Manufacturers' new orders for consumer goods and materials. Industrial Production: • Factory output, including factories, mines, and utilities. • Low industrial output and sales: During economic downturns, companies reduce production to minimize risk. This leads to lower industrial output and sales, which can signal an impending recession, because it causes a
ripple effect. As fewer goods are produced, lesser resources like labor, equipment and raw materials are required. As industrial output falls this sooner or later leads to a cutback in hiring as well as a surge in layoffs. Chemical Activity: • Basic industrial chemicals like chlorine, alkalies, pigments and plastic resins are positioned early in the supply chain. This early position allows to identify emerging turning points in the economy. • Chemical activity also includes data on hours worked in chemicals, chemical company stock data, publicly sourced chemical price information, end-use chemical industry sales-to-inventories. • Indicators of chemical activity provide a longer lead time compared to other economic indicators. Tracking chemical activity as an index can lead by two to fourteen months, with an average lead of eight months at cycle peaks and four months at cycle troughs, according to the American Chemistry Council (ACC). Transportation: 2015-2025 • Declining
trucking and
shipping volumes of goods. • The
Baltic Dry Index (BDI), a shipping freight-cost index which reflects the demand for shipping capacity versus the supply of dry bulk carriers, is generally seen as a leading indicator of economic activity, because changes in the index reflect global supply and demand for commodities and raw materials used in manufacturing. A falling BDI can signal a slowdown in economic activity. • The
Dow Jones Transportation Average (DJTA) contains railroads, shipping companies, air freight carriers, marine transportation, delivery services, and logistics companies. The performance of transportation stocks can predict trends in the broader market, according to the
Dow Theory, which says that a divergence between the DJTA and the
Dow Jones Industrial Average (DJIA) can signal potential early economic weakness if transportation stocks are underperforming while industrial stocks are rising. • Both indices (BDI and DJTA) serve as barometers for economic health and are considered to be leading economic indicators but from different perspectives. The BDI focuses on global trade and commodity demand, while the DJTA reflects domestic transportation activity in the U.S. • There are various trucking indices, most notably the Cass Freight Index, which measures monthly freight activity across all domestic freight modes in North America. Other trucking indices are the FreightWaves National Truckload Index (NTI), the FTR Trucking Conditions Index (TCI), the ACT For-Hire Trucking Index, the American Trucking Associations' Truck Tonnage Index, the DAT Trendlines index and the
U.S. Bureau of Labor Statistics Producer Price Index (PPI) by Industry: General Freight Trucking Index. These indices are essential for understanding the dynamics of the trucking industry and predicting future market conditions. • According to research by the U.S. Bureau of Transportation Statistics, the Transportation Services Index (TSI) is a leading indicator of economic cycles. It tracks the movement of freight and passengers to provide insights into the broader economic conditions. Both TSI index components lead the business cycles since 1979 by an average of approximately four months. • Light truck sales are seen as a recession predictor. Corporate Profits: • Business sector profits. Declining corporate earnings over successive quarters can signal economic trouble and the risk of a potential bear market. Employment: • Decreasing job growth. • Decreasing payroll employment. • Growing unemployment rate as measured by the initial claims for unemployment insurance (indicated by a constant enduring year-over-year increase in the three-week average of unemployment insurance initial claims), which are reported by the
U.S. Bureau of Labor Statistics: is a cause for concern, according to
Jeffrey Gundlach. • A narrowing labor differential between those who think jobs are plentiful versus those who think they are hard to get, as measured by the
Conference Board. On average, the peak in the labor differential comes nine months ahead of a recession, according to BCA Research strategist Peter Berezin. • Jobs market contraction: The 'Perkins rule', created by GlobalData TS Lombard managing director Dario Perkins, triggers when payrolls are declining. Commonly when the Sahm rule produces a recession warning signal the Perkins rule has already triggered. Another jobs market indicator measuring a rise in unemployment is the 'Kantro rule'. This recession indicator isn't influenced by participation rates and has an equally impressive track record as the Sahm rule going back to the early 1970s. Kantro's 10% recession rule, created by Michael Kantrowitz, CIO of Piper Sandler, measures the year-over-year growth in unemployed persons in the U.S. workforce. When the three-month moving average of this indicator grows beyond the 10% threshold at least in the past 11 occurrences the economy has already been in recession. • Growing shifts in labor market internals to part-time work signals increasing weakness in the economy as normally part-time jobs rise and full-time jobs decrease as a share of employment before a recession takes hold. As an indicator this can be measured simply using the ratio of part-time to full-time employment (with the year-over-year change crossing into negative territory as recession risk warning). Another way to use this approach is to look at the number of people who are working part time but would rather be working full time, according to data from the Bureau of Labor Statistics. • Six other employment-based recession indicators are: Household Savings and Consumer Debt: • Tracking consumer savings rates can help indicate how people are feeling about the economy in general. A personal savings rate that is too low (and then rises once people become worried about their job security, start to spend less and begin to build their savings again) typically precedes a recession. Prior to the
2008 financial crisis, households were saving less than 3% of their disposable personal income based on data from the
Commerce Department. • Rising consumer debt at the onset of a recession: When the budget shrinks some consumers may turn to debt to maintain their lifestyle and to continue spending. As available cash tightens an increase in overall credit card debt, auto loans and other types of consumer debt can indicate that consumers can't afford daily purchases anymore. This debt overhang suggests lower future consumer spending and a worsening economy. Retail Sales, Consumer Confidence and Consumer Expenditures: • Decline in wholesale/retail sales, which are reported by the
U.S. Census Bureau. •
Consumer expectations, confidence surveys like the index of consumer expectations (
University of Michigan Consumer Sentiment Index) and the
Conference Board Consumer Confidence Index: Housing and non-residential construction: • Housing starts and construction, specifically
building permits for new private housing units. Residential investment contains information that is particularly useful for predicting recessions when compared by what is captured by standard leading indicators such as the term spread. And it is especially useful for the prediction of recessions for countries with high home-ownership rates. Research results strongly suggest that recession predictability of leading indicators is improved, when residential investment is included. • Non-residential construction spending (like e.g. offices and industrial plants) as measured by the
Architecture Billings Index (ABI) 9–12 months ahead. The ABI is a survey send each month by the AIA to several hundreds of architecture firms. The index can be used to predict a recession. The index is centered around a value of 50. Below 50 means there is a high likelihood that construction spending will decrease and that therefore overall economic health is going to worsen. Researchers at the AIA came to the conclusion that their Architecture Billings Index is an accurate indicator of actual construction spending with on average 11 months' worth of lead time and therefore reliably leads economic downturns whenever the index severely drops below 50. For example, the ABI plunged below 50 between July 2000 and January 2001 (and then in June 2001 the percentage change in construction spending as compared to the prior year sank into negative growth territory) ahead of the wider crash in the US equity markets that followed. Credit Markets: • Rising corporate debt can foreshadow a bear market, notably when businesses go ahead with taking on more debt, despite having diminishing sales and dwindling earnings. • The long-term spread: The spread between a shorter-term rate (like the three-month Treasury yield) and 10-year U.S. bond yields. The long-term Treasury yield spread has been particularly effective at predicting recessions many months in advance, achieving an AUC (Area Under the
Receiver Operating Characteristic curve) value of 0.89 at 14 months ahead. And it is the best predictor at a horizon of 16 to 20 months ahead, when compared to other leading indicators. • The S&P 500 and BBB bond spread. • The
federal budget deficit typically worsens strongly ahead of a recession. Asset Prices: •
Oil is a critical commodity input for many industries. •
Commodity prices, as measured e.g. by the Standard & Poor's (S&P) Goldman Sachs Commodity Index (GSCI), • The Atlanta Fed offers a GDPnow model, which estimates changes in real GDP growth by aggregating 13 subcomponents that make up GDP. GDPnow can provide a timelier gauge of the current state of the economy. Unorthodox Recession Indicators: • Sausage sales: Heightened appetites for sausages might be a harbinger of a looming economic downturn, because sausages are a cheaper protein substitute for other higher-priced meat products, a reaction by shoppers when times are tough experts call the "trade down." • Plunging underwear sales: During the
2008 financial crisis, men's underwear sales dropped significantly, mirroring reduced consumer spending and causing former Federal Reserve head
Alan Greenspan to see men's underwear as a key economic predictor. Overview of recession indicators: •
Index of Leading (Economic) Indicators (LEI) (includes some of the above indicators). The LEI's lead time is six to seven months. • The Federal Reserve Bank of Dallas posts the Texas Index of Leading Economic Indicators. This index contains the real oil price, well permits, initial claims for unemployment insurance, Texas stock index, help-wanted index and average weekly hours worked in manufacturing. • The Federal Reserve Bank of Chicago posts updates of the Brave-Butters-Kelley Indexes (BBKI). • The Federal Reserve Bank of St. Louis posts the Weekly Economic Index (Lewis-Mertens-Stock) (WEI). • The Federal Reserve Bank of St. Louis posts the Smoothed U.S. Recession Probabilities (RECPROUSM156N). • The Federal Reserve Bank of Chicago's National Financial Conditions Index (NFCI) and its nonfinancial leverage subindex can be used as leading indicators to predict a recession. • The Federal Reserve Bank of Chicago developed the ROC Threshold Index (ROC means receiver operating characteristic). It combines multiple leading indicators to predict recessions. It has shown better predictive ability than individual indicators up to 11 months ahead. And it also significantly outperformed other measures at leading recession forecasts with a range of six to nine months in advance. the model developed by economist Jonathan H. Wright, uses yields on 10-year and three-month Treasury securities as well as the
Fed's overnight funds rate. Another model developed by
Federal Reserve Bank of New York economists uses only the 10-year/three-month spread. The Estrella and Mishkin model is a well-known approach for predicting U.S. recessions. This model primarily uses the yield curve, specifically the spread between long-term and short-term interest rates, as a predictor. This method has been widely adopted and is considered robust. The model, developed by economists Arturo Estrella and
Frederic Mishkin, uses the difference between the yields on 10-year Treasury bonds and 3-month Treasury bills, as detailed in their research papers and working papers for the
National Bureau of Economic Research. Their models estimate the 12-month-ahead recession probabilities using the term spread. This yield curve spread has been found to be a valuable forecasting tool, outperforming other financial and macroeconomic indicators in predicting recessions two to six quarters ahead. An inversion of this yield curve has been successful in predicting past recessions, including those in 1973–75, and 1981–82. The Estrella and Mishkin model later also successfully predicted the recessions in the early 2000s, and the
Great Recession of 2007–2009. Moreover, a negative spread has historically preceded each U.S. recession since the 1950s, according to The Federal Reserve Bank of St. Louis. • The three-month change in the
unemployment rate and initial jobless claims. U.S. unemployment index is defined as the difference between the 3-month average of the
unemployment rate and the 12-month minimum of the unemployment rate. Unemployment momentum and acceleration with Hidden Markov model. • The RSM US Recession Monitor developed by Joseph Brusuelas, a member of the
Wall Street Journal’s forecasting panel, is a scorecard " 21 variables selected as indicative readings of the business cycle, captured in five different areas of the economy" intended to provide key metrics to monitor the health of the U.S. economy. • The
Sahm Recession Indicator, named after economist
Claudia Sahm, was published in October 2019 by the
St. Louis Federal Reserve bank's
Federal Reserve Economic Data (FRED). It is defined as: ==Government responses==