The 2020 recession did not follow the trend of previous recessions in the United States because only six months elapsed between the yield curve inversion and the 2020 recession. Over the last five decades, 12 months, on average, has elapsed between the initial yield curve inversion and the beginning of a recession in the United States. For instance, the yield curve inverted initially in January 2006, which was 22 months before the start of the 2008 recession. A yield curve inversion refers to the event where short-term Treasury bonds, such as one or three month bonds, have higher yields than longer term bonds, such as three or five year bonds. This is unusual, because long-term investments typically have higher yields than short-term ones in order to reward investors for taking on the extra risk of longer term investments. Monthly updates on the Treasury yield curve can be seen here.

United States FRB Recession Risk: Corporate Bond Credit Spread data was reported at 1.268 Basis Point in Apr 2025. This records an increase from the previous number of 1.114 Basis Point for Mar 2025. United States FRB Recession Risk: Corporate Bond Credit Spread data is updated monthly, averaging 1.572 Basis Point from Jan 1973 (Median) to Apr 2025, with 628 observations. The data reached an all-time high of 7.924 Basis Point in Nov 2008 and a record low of 0.563 Basis Point in Oct 1978. United States FRB Recession Risk: Corporate Bond Credit Spread data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.S090: FRB Recession Risk.

Context

GDPC1 - time series representing real GDP measured quarterly spanning from 1947 to 2018 in billions of dollars, adjusted for inflation and chained to 2012 dollars

DGS2 - time series representing 2Y treasury constant maturity rate measured daily in % spanning from 1976 to 2019

T10Y2Y - time series representing 10Y treasury yields minus 2Y treasury yields measured daily , spanning from 1976 to 2018

USREC - time series represents when the US experienced recession spanning from 1854 to 2018 measured daily. A '1' indicating that the US is in a period of recession and '0' indicating that the US is not in a period of recession

Content

Each CSV file has only two columns, the first column representing the date and the second column representing the value of the time series as indicated above. Missing values are represented by '.'

Acknowledgements

All data was downloaded from the website of the Federal Reserve Bank of St. Louis (https://fred.stlouisfed.org/)

Inspiration

• Recently it was reported that bond yields inverted leading some to fear economic recession in the near future. Is there truth to these fears?

• Is there any relationship between real GDP and bond yields

• Can you use bond yields to predict real GDP?

• Is there any validity to the notion that bond yield inversions are leading indicators of economic recession?

• What other datatypes besides bond yields can we use to improve predictions of real gdp?

As of July 22, 2025, the yield for a ten-year U.S. government bond was 4.38 percent, while the yield for a two-year bond was 3.88 percent. This represents an inverted yield curve, whereby bonds of longer maturities provide a lower yield, reflecting investors' expectations for a decline in long-term interest rates. Hence, making long-term debt holders open to more risk under the uncertainty around the condition of financial markets in the future. That markets are uncertain can be seen by considering both the short-term fluctuations, and the long-term downward trend, of the yields of U.S. government bonds from 2006 to 2021, before the treasury yield curve increased again significantly in the following years. What are government bonds? Government bonds, otherwise called ‘sovereign’ or ‘treasury’ bonds, are financial instruments used by governments to raise money for government spending. Investors give the government a certain amount of money (the ‘face value’), to be repaid at a specified time in the future (the ‘maturity date’). In addition, the government makes regular periodic interest payments (called ‘coupon payments’). Once initially issued, government bonds are tradable on financial markets, meaning their value can fluctuate over time (even though the underlying face value and coupon payments remain the same). Investors are attracted to government bonds as, provided the country in question has a stable economy and political system, they are a very safe investment. Accordingly, in periods of economic turmoil, investors may be willing to accept a negative overall return in order to have a safe haven for their money. For example, once the market value is compared to the total received from remaining interest payments and the face value, investors have been willing to accept a negative return on two-year German government bonds between 2014 and 2021. Conversely, if the underlying economy and political structures are weak, investors demand a higher return to compensate for the higher risk they take on. Consequently, the return on bonds in emerging markets like Brazil are consistently higher than that of the United States (and other developed economies). Inverted yield curves When investors are worried about the financial future, it can lead to what is called an ‘inverted yield curve’. An inverted yield curve is where investors pay more for short term bonds than long term, indicating they do not have confidence in long-term financial conditions. Historically, the yield curve has historically inverted before each of the last five U.S. recessions. The last U.S. yield curve inversion occurred at several brief points in 2019 – a trend which continued until the Federal Reserve cut interest rates several times over that year. However, the ultimate trigger for the next recession was the unpredicted, exogenous shock of the global coronavirus (COVID-19) pandemic, showing how such informal indicators may be grounded just as much in coincidence as causation.

United States FRB Recession Risk: Excess Bond Premium data was reported at -0.105 Basis Point in Apr 2025. This records a decrease from the previous number of -0.060 Basis Point for Mar 2025. United States FRB Recession Risk: Excess Bond Premium data is updated monthly, averaging -0.056 Basis Point from Jan 1973 (Median) to Apr 2025, with 628 observations. The data reached an all-time high of 3.539 Basis Point in Oct 2008 and a record low of -1.026 Basis Point in Jul 2003. United States FRB Recession Risk: Excess Bond Premium data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.S090: FRB Recession Risk.

Prior to the 2020 recession, the yield curve was only inverted for *** days, which was much shorter than the average *** days preceding the previous five U.S. recessions. For instance, the yield curve was inverted for *** days between the inversion in January 2006 and the start of the ********* recession. A yield curve inversion refers to the event where short-term Treasury bonds, such as *** or ***** month bonds, have higher yields than longer term bonds, such as ***** or **** year bonds. This is unusual, because long-term investments typically have higher yields than short-term ones in order to reward investors for taking on the extra risk of longer term investments. Monthly updates on the Treasury yield curve can be seen here.

We use the yield curve to predict future GDP growth and recession probabilities. The spread between short- and long-term rates typically correlates with economic growth. Predications are calculated using a model developed by the Federal Reserve Bank of Cleveland. Released monthly.

United States Recession Prob: Yield Curve: 3 Month Treasury Yield: Bond Equivalent data was reported at 2.294 % in Oct 2018. This records an increase from the previous number of 2.171 % for Sep 2018. United States Recession Prob: Yield Curve: 3 Month Treasury Yield: Bond Equivalent data is updated monthly, averaging 4.740 % from Jan 1959 (Median) to Oct 2018, with 718 observations. The data reached an all-time high of 17.237 % in May 1981 and a record low of 0.010 % in Dec 2011. United States Recession Prob: Yield Curve: 3 Month Treasury Yield: Bond Equivalent data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.S021: Recession Probability.

The spread between 10–year and two–year U.S. Treasury bond yields reached a positive value of 0.49 percent in June 2025. The 10–year minus two–year Treasury bond spread is generally considered to be an advance warning of severe weakness in the stock market. Negative spreads occurred prior to the recession of the early 1990s, the tech-bubble crash in 2000–2001, and the financial crisis of 2007–2008.

22 Years of Complete US Treasury Bonds Data of 4 different Categories.

13 Week Treasury Bill Treasury Yield 5 Years Treasury Yield 10 Years Treasury Yield 30 Years It could be used to analyzing trends, predict future pricing and even possibilities are endless. I hope to get positive feedback from fellow professionals. As there is a recession coming, this data sets may unlock many potential doors and give valuable insights, which may lead to great results.

As of December 30, 2024, ** economies reported a negative value for their ten year minus two year government bond yield spread: Ukraine with a negative spread of ***** percent; Turkey, with a negative spread of 1332 percent; Nigeria with **** percent; and Russia with **** percent. At this time, almost all long-term debt for major economies was generating positive yields, with only the most stable European countries seeing smaller values. Why is an inverted yield curve important? Often called an inverted yield curve or negative yield curve, a situation where short term debt has a higher yield than long term debt is considered a main indicator of an impending recession. Essentially, this situation reflects an underlying belief among a majority of investors that short term interest rates are about to fall, with the lowering of interest rates being the orthodox fiscal response to a recession. Therefore, investors purchase safe government debt at today's higher interest rate, driving down the yield on long term debt. In the United States, an inverted yield curve for an extended period preceded (almost) all recent recessions. The exception to this is the economic downturn caused by the coronavirus (COVID-19) pandemic – however, the U.S. ten minus two year spread still came very close to negative territory in mid-2019. Bond yields and the coronavirus pandemic The onset of the coronavirus saw stock markets around the world crash in March 2020. This had an effect on bond markets, with the yield of both long term government debt and short term government debt falling dramatically at this time – reaching negative territory in many countries. With stock values collapsing, many investors placed their money in government debt – which guarantees both a regular interest payment and stable underlying value - in contrast to falling share prices. This led to many investors paying an amount for bonds on the market that was higher than the overall return for the duration of the bond (which is what is signified by a negative yield). However, the calculus is that the small loss taken on stable bonds is less that the losses likely to occur on the market. Moreover, if conditions continue to deteriorate, the bonds may be sold on at an even higher price, partly offsetting the losses from the negative yield.

Between ************ and *********, global recession fear went through periods of sharp increases three times. First, in the summer of 2019, due to an escalation in U.S.-China relations and a recession signal being flashed by the bond market. The second peak of worldwide recession fear took place in **********, as a result of the alarming jump in the rate of COVID-19 cases. The fear of recession started to increase sharply again in *************, as the conflict between Russia and Ukraine escalated.

View market daily updates and historical trends for 10-2 Year Treasury Yield Spread. from United States. Source: Department of the Treasury. Track economi…

As of April 16, 2025, the Canadian bond market displayed a positive spread of **** basis points between 10-year and 2-year yields, indicating long-term rates above short-term ones. The 2-year versus 1-year sprea also showed a positive spread of **** basis points. Negative spreads indicate a (partially) inverted yield curve. This often signals investor pessimism about short-term economic prospects, as investors seek the relative safety of long-term bonds, pushing those yields down relative to shorter-term bonds. An inverted yield curve is typically interpreted as a potential indicator of economic slowdown or recession, as it reflects expectations of lower interest rates in the future to stimulate the economy.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

TA:TSX Stock: Are We Headed for a Recession?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

FRB Recession Risk：Corporate Bond Credit Spread在04-01-2025达1.268基点，相较于03-01-2025的1.114基点有所增长。FRB Recession Risk：Corporate Bond Credit Spread数据按月更新，01-01-1973至04-01-2025期间平均值为1.572基点，共628份观测结果。该数据的历史最高值出现于11-01-2008，达7.924基点，而历史最低值则出现于10-01-1978，为0.563基点。CEIC提供的FRB Recession Risk：Corporate Bond Credit Spread数据处于定期更新的状态，数据来源于Federal Reserve Board，数据归类于全球数据库的美国 – Table US.S090: FRB Recession Risk。

As of December 2024, all United Kingdom government debt securities were returning positive yields, regardless of maturity. This places the yield of both UK short term bonds and long term bonds above that of major countries like Germany, France and Japan, but lower than the United States. What are government bonds? Government bonds are debt instruments where a certain amount of money is given to the issuer, in exchange for regular payments of interest over a fixed period. At the end of this period the issuer then returns the amount in full. Bonds differ from a regular loan through how they can be traded on financial markets once issued. This ability to trade bonds makes it more complex to measure the return investors receive from bonds, as the price they buy a bond for on the market may differ from the price the same bond was initially issued at. The yield is therefore calculated as what investors can expect to receive based on current market prices paid for the bond, not the value it was issued at. In total, UK government debt amounted to over 2.4 trillion British pounds in 2023 – with the majority being comprised of different types of UK government bonds. Why are inverted yield curves important? UK government bond yields over recent years have taken on a typical shape, with short term bonds having a lower yield than bonds with a maturity of 10 to 20 years. The higher yield of longer-term bonds compensates investors for the higher level of uncertainty in the future. However, if investors are sufficiently worried about both a short term economic decline, and low long term growth, they may prefer to purchase short term bonds in order to secure assets with regular interest payments in the here and now (as opposed to shares, which can lose a lot of value in a short time). This can lead to an inverted yield curve, where shorter term debt has a higher yield. Inverted yield curves are generally seen as a reliable indicator of a recession, with inverted yields occurring before most recent U.S. recessions. The major exception to this is the recession from the coronavirus pandemic – but even then, U.S. yield curves came perilously close to being inverted in mid-2019.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

SITC^A Stock: Are We Headed for a Recession?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Source is Federal Reserve Bank of St. Louis. Retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/"NAME OF MEASURE" Column names are "Name of Measure" from FRED's catalog.

Group 1: Yield Curve Indicators These focus on the shape of the Treasury yield curve, comparing longer-term to shorter-term rates. They are primarily used to: Signal Economic Expectations: A normal curve (longer-term rates higher) suggests expectations of growth and possibly inflation. A flattening or inverted curve (short-term rates near or above long-term) could signal a potential slowdown or recession.

Group 2: Monetary Policy and Market Expectations These spreads look at the difference between Treasury yields and the Federal Funds Rate, the primary tool of monetary policy. They indicate: Market vs. Fed Outlook: Widening spreads could suggest the market expects faster rate hikes or higher long-term inflation than the Fed is signaling. Narrowing spreads could mean the opposite. Risk-Taking: When these spreads widen, it can be a sign of investors moving from safe Treasuries to riskier assets in search of yield.

Group 3: Credit Risk and Market Sentiment These spreads focus on corporate bond yields relative to Treasuries, highlighting the added compensation investors require for holding riskier corporate debt. They signal: Credit Conditions: Widening spreads suggest deteriorating credit conditions or lower risk tolerance among investors. Narrowing spreads suggest the opposite. Economic Confidence: Investors often demand higher premiums for corporate bonds during economic uncertainty, widening these spreads.

Group 4: Breakeven Inflation Rates The breakeven inflation rate represents a measure of expected inflation derived from 30-Year Treasury Constant Maturity Securities (BC_30YEAR) and 30-Year Treasury Inflation-Indexed Constant Maturity Securities (TC_30YEAR). The latest value implies what market participants expect inflation to be in the next 30 years, on average.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

MMI Stock: Are We Headed for a Recession?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data