By November 2025, it is projected that there is a probability of 33.56 percent that the United States will fall into another economic recession. This reflects a significant decrease from the projection of the preceding month.

United States Recession Probability data was reported at 14.120 % in Oct 2019. This records a decrease from the previous number of 14.505 % for Sep 2019. United States Recession Probability data is updated monthly, averaging 7.668 % from Jan 1960 (Median) to Oct 2019, with 718 observations. The data reached an all-time high of 95.405 % in Dec 1981 and a record low of 0.080 % in Sep 1983. United States Recession Probability 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 Long Depression was, by a large margin, the longest-lasting recession in U.S. history. It began in the U.S. with the Panic of 1873, and lasted for over five years. This depression was the largest in a series of recessions at the turn of the 20th century, which proved to be a period of overall stagnation as the U.S. financial markets failed to keep pace with industrialization and changes in monetary policy. Great Depression The Great Depression, however, is widely considered to have been the most severe recession in U.S. history. Following the Wall Street Crash in 1929, the country's economy collapsed, wages fell and a quarter of the workforce was unemployed. It would take almost four years for recovery to begin. Additionally, U.S. expansion and integration in international markets allowed the depression to become a global event, which became a major catalyst in the build up to the Second World War. Decreasing severity When comparing recessions before and after the Great Depression, they have generally become shorter and less frequent over time. Only three recessions in the latter period have lasted more than one year. Additionally, while there were 12 recessions between 1880 and 1920, there were only six recessions between 1980 and 2020. The most severe recession in recent years was the financial crisis of 2007 (known as the Great Recession), where irresponsible lending policies and lack of government regulation allowed for a property bubble to develop and become detached from the economy over time, this eventually became untenable and the bubble burst. Although the causes of both the Great Depression and Great Recession were similar in many aspects, economists have been able to use historical evidence to try and predict, prevent, or limit the impact of future recessions.

Between the first quarter of 2018 and the first quarter of 2022, the relative probability of recession in G7 economies was the highest in the first quarter of 2020, as a result of the COVID-19 pandemic. The risk of recession started to increase again in the first quarter of 2022, due to the escalation of the conflict between Russia and Ukraine.

United States FRB Recession Risk: Corporate Bond Credit Spread data was reported at 0.986 Basis Point in Feb 2025. This records an increase from the previous number of 0.885 Basis Point for Jan 2025. United States FRB Recession Risk: Corporate Bond Credit Spread data is updated monthly, averaging 1.572 Basis Point from Jan 1973 (Median) to Feb 2025, with 626 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.S078: FRB Recession Risk.

Due to increasing inflation rates, economic growth has been slow in several countries worldwide, and some risk falling into recession. When asked about this, 76 percent of respondents in South Korea believed that the country's economy had fallen into recession, and 75 percent of respondents in Turkey did the same. In fact, South Korea's gross domestic product (GDP) growth rate increased by 1.4 percent in the third quarter of 2023. Inflation increased rapidly around the world through 2022 and 2023, before it started falling in some countries in 2024.

United States Recession Prob: Yield Curve: Spread data was reported at 0.856 % in Oct 2018. This records an increase from the previous number of 0.829 % for Sep 2018. United States Recession Prob: Yield Curve: Spread data is updated monthly, averaging 1.413 % from Jan 1959 (Median) to Oct 2018, with 718 observations. The data reached an all-time high of 4.146 % in Sep 1982 and a record low of -3.505 % in Dec 1980. United States Recession Prob: Yield Curve: Spread 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.

Graph and download economic data for NBER based Recession Indicators for the United States from the Period following the Peak through the Trough (USREC) from Dec 1854 to Feb 2025 about peak, trough, recession indicators, and USA.

According to a 2019 global survey, 47.2 percent of logistics industry professionals thought a global recession was likely to happen in 2020. Only 2.1 percent of them believed it was very unlikely.

In a 2019 analysis, Riverside, California was the most at risk of a housing downturn in a recession out of the 50 largest metro areas in the United States. The Californian metro area received an overall score of 72.8 percent, which was compiled after factors such as home price volatility and average home loan-to-value ratio were examined.

Graph and download economic data for OECD based Recession Indicators for India from the Period following the Peak through the Trough (INDREC) from May 1996 to Sep 2022 about peak, trough, recession indicators, and India.

Recession Experience by Country.

FRB Recession Risk在2025-02达0.133%，相较于2025-01的0.121%有所增长。FRB Recession Risk数据按月度更新，1973-01至2025-02期间平均值为0.194%，共626份观测结果。该数据的历史最高值出现于2008-10，达1.000%，而历史最低值则出现于2003-07，为0.022%。CEIC提供的FRB Recession Risk数据处于定期更新的状态，数据来源于Federal Reserve Board，数据归类于Global Database的美国 – Table US.S078: FRB Recession Risk。

FRB Recession Risk：Excess Bond Premium在02-01-2025达-0.266基点，相较于01-01-2025的-0.313基点有所增长。FRB Recession Risk：Excess Bond Premium数据按月更新，01-01-1973至02-01-2025期间平均值为-0.055基点，共626份观测结果。该数据的历史最高值出现于10-01-2008，达3.530基点，而历史最低值则出现于07-01-2003，为-1.031基点。CEIC提供的FRB Recession Risk：Excess Bond Premium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.S078: FRB Recession Risk。

Predicted probabilities of Self-Rated health by recession experiences.

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.

DTRTU 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

The year 2021 saw the peak in issuance of residential mortgage backed securities (MBS), at 3.7 trillion U.S. dollars. Since then, MBS issuance has slowed, reaching 1.1 trillion U.S. dollars in 2023. What are mortgage backed securities? A mortgage backed security is a financial instrument in which a group of mortgages are bundled together and sold to the investors. The idea is that the risk of these individual mortgages is pooled when they are packaged together. This is a sound investment policy, unless the foreclosure rate increases significantly in a short amount of time. Mortgage risk Since mortgages are loans backed by an asset, the house, the risk is often considered relatively low. However, the loan maturities are very long, sometimes decades, meaning lenders must factor in the risk of a shift in the economic climate. As such, interest rates on longer mortgages tend to be higher than on shorter loans. The ten-year treasury yield influences these rates, since it is a long-term rate that most investors accept as risk-free. Additionally, a drop in the value of homeowner equity could lead to a situation where the debtor is “underwater” and owes more than the home is worth.

FRB Recession Risk：Corporate Bond Credit Spread在02-01-2025达0.986基点，相较于01-01-2025的0.885基点有所增长。FRB Recession Risk：Corporate Bond Credit Spread数据按月更新，01-01-1973至02-01-2025期间平均值为1.572基点，共626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.S078: FRB Recession Risk。

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

The Global Financial Crisis of 2008-09 was a period of severe macroeconomic instability for the United States and the global economy more generally. The crisis was precipitated by the collapse of a number of financial institutions who were deeply involved in the U.S. mortgage market and associated credit markets. Beginning in the Summer of 2007, a number of banks began to report issues with increasing mortgage delinquencies and the problem of not being able to accurately price derivatives contracts which were based on bundles of these U.S. residential mortgages. By the end of 2008, U.S. financial institutions had begun to fail due to their exposure to the housing market, leading to one of the deepest recessions in the history of the United States and to extensive government bailouts of the financial sector.

Subprime and the collapse of the U.S. mortgage market

The early 2000s had seen explosive growth in the U.S. mortgage market, as credit became cheaper due to the Federal Reserve's decision to lower interest rates in the aftermath of the 2001 'Dot Com' Crash, as well as because of the increasing globalization of financial flows which directed funds into U.S. financial markets. Lower mortgage rates gave incentive to financial institutions to begin lending to riskier borrowers, using so-called 'subprime' loans. These were loans to borrowers with poor credit scores, who would not have met the requirements for a conventional mortgage loan. In order to hedge against the risk of these riskier loans, financial institutions began to use complex financial instruments known as derivatives, which bundled mortgage loans together and allowed the risk of default to be sold on to willing investors. This practice was supposed to remove the risk from these loans, by effectively allowing credit institutions to buy insurance against delinquencies. Due to the fraudulent practices of credit ratings agencies, however, the price of these contacts did not reflect the real risk of the loans involved. As the reality of the inability of the borrowers to repay began to kick in during 2007, the financial markets which traded these derivatives came under increasing stress and eventually led to a 'sudden stop' in trading and credit intermediation during 2008.

Market Panic and The Great Recession

As borrowers failed to make repayments, this had a knock-on effect among financial institutions who were highly leveraged with financial instruments based on the mortgage market. Lehman Brothers, one of the world's largest investment banks, failed on September 15th 2008, causing widespread panic in financial markets. Due to the fear of an unprecedented collapse in the financial sector which would have untold consequences for the wider economy, the U.S. government and central bank, The Fed, intervened the following day to bailout the United States' largest insurance company, AIG, and to backstop financial markets. The crisis prompted a deep recession, known colloquially as The Great Recession, drawing parallels between this period and The Great Depression. The collapse of credit intermediation in the economy lead to further issues in the real economy, as business were increasingly unable to pay back loans and were forced to lay off staff, driving unemployment to a high of almost 10 percent in 2010. While there has been criticism of the U.S. government's actions to bailout the financial institutions involved, the actions of the government and the Fed are seen by many as having prevented the crisis from spiraling into a depression of the magnitude of The Great Depression.