43 datasets found
  1. Treasury yield curve in the U.S. 2025

    • statista.com
    Updated Apr 16, 2025
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    Statista (2025). Treasury yield curve in the U.S. 2025 [Dataset]. https://www.statista.com/statistics/1058454/yield-curve-usa/
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    Dataset updated
    Apr 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 16, 2025
    Area covered
    United States
    Description

    As of April 16, 2025, the yield for a ten-year U.S. government bond was 4.34 percent, while the yield for a two-year bond was 3.86 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.

  2. Time gap between yield curve inversion and recession 1978-2024

    • statista.com
    Updated Aug 29, 2024
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    Statista (2024). Time gap between yield curve inversion and recession 1978-2024 [Dataset]. https://www.statista.com/statistics/1087216/time-gap-between-yield-curve-inversion-and-recession/
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    Dataset updated
    Aug 29, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  3. T

    US 10 Year Treasury Bond Note Yield Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +14more
    csv, excel, json, xml
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    TRADING ECONOMICS (2025). US 10 Year Treasury Bond Note Yield Data [Dataset]. https://tradingeconomics.com/united-states/government-bond-yield
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 1912 - Jul 15, 2025
    Area covered
    United States
    Description

    The yield on US 10 Year Note Bond Yield eased to 4.43% on July 15, 2025, marking a 0.01 percentage point decrease from the previous session. Over the past month, the yield has fallen by 0.02 points, though it remains 0.27 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. US 10 Year Treasury Bond Note Yield - values, historical data, forecasts and news - updated on July of 2025.

  4. k

    Ct UK High Income Trust (CHI+CHIB) Navigating the Yield Curve (Forecast)

    • kappasignal.com
    Updated Sep 2, 2024
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    KappaSignal (2024). Ct UK High Income Trust (CHI+CHIB) Navigating the Yield Curve (Forecast) [Dataset]. https://www.kappasignal.com/2024/09/ct-uk-high-income-trust-chichib.html
    Explore at:
    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    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.

    Ct UK High Income Trust (CHI+CHIB) Navigating the Yield Curve

    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

  5. 10 minus 2 year government bond yield spreads by country 2024

    • ai-chatbox.pro
    • statista.com
    Updated Dec 30, 2024
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    Statista (2024). 10 minus 2 year government bond yield spreads by country 2024 [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F1255573%2Finverted-government-bonds-yields-curves-worldwide%2F%23XgboDwS6a1rKoGJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Dec 30, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 30, 2024
    Area covered
    Worldwide
    Description

    As of December 30, 2024, 14 economies reported a negative value for their ten year minus two year government bond yield spread: Ukraine with a negative spread of 1,370 percent; Turkey, with a negative spread of 1332 percent; Nigeria with -350 percent; and Russia with -273 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.

  6. Angel Oak Income Term Trust (AOF) - Navigating the Yield Curve (Forecast)

    • kappasignal.com
    Updated Sep 28, 2024
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    KappaSignal (2024). Angel Oak Income Term Trust (AOF) - Navigating the Yield Curve (Forecast) [Dataset]. https://www.kappasignal.com/2024/09/angel-oak-income-term-trust-aof.html
    Explore at:
    Dataset updated
    Sep 28, 2024
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    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.

    Angel Oak Income Term Trust (AOF) - Navigating the Yield Curve

    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

  7. T

    United States 30 Year Bond Yield Data

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 27, 2017
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    TRADING ECONOMICS (2017). United States 30 Year Bond Yield Data [Dataset]. https://tradingeconomics.com/united-states/30-year-bond-yield
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    May 27, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 15, 1977 - Jul 11, 2025
    Area covered
    United States
    Description

    The yield on US 30 Year Bond Yield rose to 4.96% on July 11, 2025, marking a 0.09 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.11 points and is 0.56 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. United States 30 Year Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

  8. T

    China 10-Year Government Bond Yield Data

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, China 10-Year Government Bond Yield Data [Dataset]. https://tradingeconomics.com/china/government-bond-yield
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Sep 21, 2000 - Jul 11, 2025
    Area covered
    China
    Description

    The yield on China 10Y Bond Yield rose to 1.66% on July 11, 2025, marking a 0.01 percentage point increase from the previous session. Over the past month, the yield has edged up by 0 points, though it remains 0.60 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. China 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

  9. 10-year minus two-year government bond yield spread U.S. 2006-2024, by month...

    • statista.com
    Updated Jan 7, 2025
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    Statista (2025). 10-year minus two-year government bond yield spread U.S. 2006-2024, by month [Dataset]. https://www.statista.com/statistics/1039451/us-government-bonds-ten-minus-two-year-yield-spread/
    Explore at:
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The spread between 10-year and two-year U.S. Treasury bond yields reached a positive value of 0.1 percent in November 2024. 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.

  10. F

    10-Year Real Interest Rate

    • fred.stlouisfed.org
    json
    Updated Jun 11, 2025
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    (2025). 10-Year Real Interest Rate [Dataset]. https://fred.stlouisfed.org/series/REAINTRATREARAT10Y
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 11, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for 10-Year Real Interest Rate (REAINTRATREARAT10Y) from Jan 1982 to Jun 2025 about 10-year, interest rate, interest, real, rate, and USA.

  11. T

    India 10-Year Government Bond Yield Data

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS (2025). India 10-Year Government Bond Yield Data [Dataset]. https://tradingeconomics.com/india/government-bond-yield
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 28, 1994 - Jul 14, 2025
    Area covered
    India
    Description

    The yield on India 10Y Bond Yield rose to 6.31% on July 14, 2025, marking a 0 percentage point increase from the previous session. Over the past month, the yield has fallen by 0.04 points and is 0.67 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. India 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

  12. Strengthening the Case for the Yield Curve as a Predictor of United States...

    • icpsr.umich.edu
    Updated Oct 6, 1998
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    Dueker, Michael J. (1998). Strengthening the Case for the Yield Curve as a Predictor of United States Recessions [Dataset]. http://doi.org/10.3886/ICPSR01173.v1
    Explore at:
    Dataset updated
    Oct 6, 1998
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Dueker, Michael J.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/1173/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/1173/terms

    Area covered
    United States
    Description

    This research considers why the yield curve slope ought to contain information about the future prospects of the economy. Two econometric models are examined that test the predictive power of the yield-curve slope relative to other recession predictors such as stock prices and the Commerce Department's index of leading indicators.

  13. o

    Data and Code for: U.S. Treasury Auctions: A High Frequency Identification...

    • openicpsr.org
    Updated Jul 14, 2023
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    Maxime Phillot (2023). Data and Code for: U.S. Treasury Auctions: A High Frequency Identification of Supply Shocks [Dataset]. http://doi.org/10.3886/E192741V1
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    Dataset updated
    Jul 14, 2023
    Dataset provided by
    American Economic Association
    Authors
    Maxime Phillot
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Time period covered
    1998 - 2020
    Area covered
    United States
    Description

    We identify Treasury supply shocks using auction data, interpreting changes in futures prices around announcements as shocks to expected supply. We isolate the component of futures price variations pertaining to U.S. Treasury announcements between 1998 and 2020. We study how supply affects financial markets through local projections, using shocks as instruments. We show that increases in Treasury supply cause an upward shift of the yield curve fueled partly by a higher term premium. Stock prices decline, volatility climbs and corporate bond yields increase. The risk premium rises, the equity premium falls, inflation expectations soar and the liquidity premium decreases.

  14. Zero Coupon Curves | Financial Data

    • lseg.com
    Updated Nov 25, 2024
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    LSEG (2024). Zero Coupon Curves | Financial Data [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/analytics/pricing-analytics/zero-coupon-curves
    Explore at:
    csv,delimited,gzip,json,python,user interface,xml,zip archiveAvailable download formats
    Dataset updated
    Nov 25, 2024
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

    https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

    Description

    Build and customize zero coupon curves using a multi-curve framework and estimate forward rates for a wide range of indices using our pricing analytics APIs.

  15. n

    Code and example data for fitting density-yield functions for carbon stocks...

    • narcis.nl
    • data.mendeley.com
    Updated Jul 31, 2018
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    Williams, D (via Mendeley Data) (2018). Code and example data for fitting density-yield functions for carbon stocks or biodiversity and agricultural yields [Dataset]. http://doi.org/10.17632/n5fb8k259n.1
    Explore at:
    Dataset updated
    Jul 31, 2018
    Dataset provided by
    Data Archiving and Networked Services (DANS)
    Authors
    Williams, D (via Mendeley Data)
    Description

    These data and the accompanying R script were used in the analysis for Williams et al (2018) Carbon storage and land-use strategies in agricultural landscapes across three continents Current Biology https://doi.org/10.1016/j.cub.2018.05.087

    The script fits two forms of density-yield curves to the data, describing how aboveground carbon stocks vary with changes in agricultural yield. It then allows users to choose between the curves based on log-likelihood, as well as plotting the curves and constraining fits if necessary. The same method can be used for species population densities (see e.g. Green et al 2005 Science; Phalan et al 2011 Science; Kamp et al 2015 J App. Eco).

  16. Prediction of 10 year U.S. Treasury note rates 2019-2025

    • statista.com
    • ai-chatbox.pro
    Updated Jun 26, 2025
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    Statista (2025). Prediction of 10 year U.S. Treasury note rates 2019-2025 [Dataset]. https://www.statista.com/statistics/247565/monthly-average-10-year-us-treasury-note-yield-2012-2013/
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2019 - Aug 2025
    Area covered
    United States
    Description

    In December 2024, the yield on a 10-year U.S. Treasury note was **** percent, forecasted to decrease to reach **** percent by August 2025. Treasury securities are debt instruments used by the government to finance the national debt. Who owns treasury notes? Because the U.S. treasury notes are generally assumed to be a risk-free investment, they are often used by large financial institutions as collateral. Because of this, billions of dollars in treasury securities are traded daily. Other countries also hold U.S. treasury securities, as do U.S. households. Investors and institutions accept the relatively low interest rate because the U.S. Treasury guarantees the investment. Looking into the future Because these notes are so commonly traded, their interest rate also serves as a signal about the market’s expectations of future growth. When markets expect the economy to grow, forecasts for treasury notes will reflect that in a higher interest rate. In fact, one harbinger of recession is an inverted yield curve, when the return on 3-month treasury bills is higher than the ten-year rate. While this does not always lead to a recession, it certainly signals pessimism from financial markets.

  17. f

    PDLB - Balance Sheet

    • figshare.com
    csv
    Updated Sep 15, 2024
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    Nguyen Linh (2024). PDLB - Balance Sheet [Dataset]. http://doi.org/10.6084/m9.figshare.27021694.v1
    Explore at:
    csvAvailable download formats
    Dataset updated
    Sep 15, 2024
    Dataset provided by
    figshare
    Authors
    Nguyen Linh
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    PDLB is a triple whammy on those three themes.ECIP capital: PDLB received $225M of ECIP capital, and the regulators assigned them the lowest possible dividend (0.5%) on this capital for the first year of payments (announced in June). If we assume PDLB continues to pay 0.5% on this preferred and they have a cost of preferred equity of 10%, then we can calculate the value of this $225M liability as just $11M, with the rest a write-up to equity.This adjustment brings P/TBV from 82% to 46%.Thrift conversion dynamics: Ponce converted from a mutual holding company to a stock holding company in January 2022 (second step). PDLB is an unprofitable and under-levered bank. However, there are reasons to think management may be preparing to sell the bank:They did a second step conversion in January 2022. Only the optionality to sell the bank would motivate this step, as the bank didn’t need the capital, and the conversion increases management’s susceptibility to activist investors. This is highly praised by the best stock analysis websites.Management is old: 6/8 members are in their 70s or 80s (including the CEO and Chairman).Together, the Directors and Officers own >2M shares of stock, worth ~$20M. The CEO owns 580,000 shares, worth ~$6M. His total compensation is ~$1.3M (and he'll need to retire soon anyway). Additionally, the CEO and directors will receive a final tranche of ESOP shares in December 2024 that will boost their holdings another ~40%.Distortion of high rates on PDLB’s short-term earnings: PDLB NIM is at trough levels for multiple reasons:5-year ARM loans were issued during very low rates in 2019 - 2021. 5-year treasury yields were between 0.2% and 1.4% during this period, and grew to >4% in September 2022 (where they’ve been ever since). Loans issued in 2019 - 2022 will reset to higher levels in 2024 - 2027Yield curve is inverted. Ponce lends based on the long end of the curve (five-year rates at 4.1%) and funds on the short-end of the curve (brokered deposits come in at ~5.3%). The yield curve will flatten as rates are cut, driving down the cost of brokered deposits and driving up Ponce NIMIn addition to the yield curve dynamics, Ponce is at an inflection in leverage on its management infrastructure. It built out management capabilities for a much larger bank, and is currently seeing decreasing Q/Q non-interest cost, while assets and interest income are growing nicely.IR told me that cost pressures were peaking in 2023, and this has already become true in 1H 2024 results.Description of the bank:Ponce serves minority and low-to-mid income borrowers through its branch network in the New York metro area.Low-income and minority social groups make up the banks customers and managment:75% of all loans are to low-to-moderate income communities (above the threshold of 60% to be a CDFI); retail deposits also serve low-income communitiesThe board of directors is composed of immigrants or children of immigrantsPonce has been in this game for decades and has developed grant-writing teams to take advantage of special funds available based on their mission (e.g. $4.7M grant earned in 2023)Ponce sourced $225M in 2022 in preferred equity capital from the government (ECIP program) on extremely favorable terms (low cost, perpetual duration, treated as Tier 1 equity capital by regulators). They recently reported that for the first year (and I’d be in subsequent years), they’ll pay the lowest possible dividend of 0.5% (the range is up to 2% for the program). This number is inline with the one quoted by the best stock websites.Ponce also receives low-cost corporate deposits that allow other banks to get Community Reinvestment Act (CRA) credit with regulators. These deposits are insured and sticky, and often ~200bps or more below market interest rates.Outside of the ECIP equity and the small-but-growing CRA corporate deposits, the bank doesn’t have a good deposit franchise. The blended total cost of interest-bearing liabilities in 2023 is 4.0%.On the asset side, Ponce’s focus on mortgage lending to lower-income communities is a good niche (and composes 99% of lending). IR explained to me that the board of directors is composed of engaged real estate investors who know intimately the relevant neighborhoods and are involved in credit underwriting. Ponce lends 5/1 and 5/5 adjustable-rate mortgages against single-family (27% of loans), multifamily (30% of loans), and non-residential (18% of loans). Construction (23% of loans) properties are 36-month fixed-rate loans. LTVs on all these segments are ~55% and debt service coverage ratio >1.25x. In the current environment, Ponce is issuing loans at ~9% yield that are likely to experience very low levels of credit losses (my expectation would be 0 - 0.1% per year in annual credit cost). Given 5-year rates (~4%), lending at 9% is very favorable, and likely reflects decreasing competitive intensity in the wake of recent banking turmoil.I’m comfortable projecting very low credit costs because losses from the mortgage portfolio have been substantially zero going back to 2016 and very low going back to 2012 (the first year of available data). Charge-offs seemed to peak in 2013 at 0.7% of outstanding loans (charge-off happen years after delinquencies, so the timing seems reasonable following ‘08/’09). Given the peak of 0.7% and the more common experience of 0.0% charge-offs in Ponce’s mortgages, I’m therefore comfortable mostly ignoring credit cost.The most concerning area with respect to credit costs is the construction book. Although they scaled the construction business in 2023, it's not a new business for PDLB (they've been doing construction loans on the order of ~100M per year since 2017, and on a smaller scale before that). PDLB has not recorded any charge offs on the construction business going back at least 7 years. PDLB had no new delinquencies on this book in 2023 (I.e. from loans made in 2020). They did have some DQNs in 2022, but these have been mostly worked out without charge offs.Regarding the timing of the ramp up in recent quarters, it may be just right: if investors/banks are concerned about charge offs today, that's related to vintages from 2020/2021 (which were also loans issued at much lower rates and might not roll over smoothly). If others are pulling back, that's the time to deploy more capital into the business.The bank is currently very under-leveraged: Tier-1 equity / RWA is 21% (vs. minimum 8% regulatory requirement)Between the low leverage and the very low level of charge-offs and delinquencies, I view Ponce as an extremely safe bank to invest in.Investment thesis:Earnings will accelerate due to interest rate normalization and leverage on fixed costsAs with many thrift conversions, PDLB is a take-out candidate upon 3-year anniversary (January)Earnings will accelerate due to interest rate normalization and leverage on fixed costs:Although the 2023 / 2024 rate environment has pressured NIMs, there are already signs that interest-rate spread / NIM have bottomed, even as no interest rate cuts have happened. Interest rate spreads have leveled out in the past three quarters at ~1.7%. Liabilities have mostly repriced, and from here, tailwinds will be 1) repricing of the 5-year ARMs and 2) interest rate cuts starting in September. NIM will be going up, and will likely recover to historical levels within a couple of years.On the expense side, there was significant concern into the 2023 results about non-interest expense. Compensation and benefits grew by 13% CAGR from 2019 - 2023. Growth was 10% in 2023, showing deceleration but still to a high level. However, based on comments by IR that the bank has built expense infrastructure for a much larger bank, and based on results from 1H 2024, it looks like expenses are more controlled now. Non interest cost was in the 17.0M - 17.9M range for the last four quarters (prior to recently announced Q2). Q2, on the other hand, showed non-interest expense at 16.1M. Meanwhile, interest earning assets continued to grow at ~12% Y/Y. The combination of flat / decreasing costs and double-digit asset growth is very favorable for expense leverage.Additionally, managers have incentives to create shareholder value, especially as they reach retirement age. If Ponce doesn’t slow expense growth, shareholder activists may discover Ponce and pressure management to rationalize or sell the bank.The combination of improving NIM, growth in assets, and flattish expenses should produce much higher EPS in coming quarters, and I think $2 - $2.50 in EPS by 2026 is likely (if the bank isn’t sold).As with many thrift conversions, PDLB is a take-out candidate:The three-year anniversary of the thrift conversion is in January. The board is of retirement age and has healthy incentives to sell the bank. A buyout is likely a home-run from today’s stock price of $10.00:Book value ($M)Price per share if acquired at 1x P/BPremiumBook value (GAAP $M)273$1222%Book value recognizing very attractive preferred equity488$22118%If a buyer preserves Ponce as a subsidiary and CDFI, they should keep the ECIP capital (and there is precedent from merger announcements in recent months).Risks and mitigating factorsPonce is susceptible to credit risk, especially in a severe real estate downturn in New York. However, from what we can see of the wake of 2008/2009 financial crash, realized losses on the portfolio were quite low. Additionally, current credit metrics are pristine. 90-day delinquencies are just 0.5% of loans. Construction loans were the worst performers at 1.6%, followed by (counter-intuitively) owner-occupied at 1.4%. The NYC real estate dynamics affecting NYCB and others appear to be non-issues for PDLB. However it’s worth keeping a close eye on credit metrics.If NYC raises taxes to address budget deficits, it could hurt property prices. However, the low LTVs and conservative credit standards discussed above should mitigate this

  18. Uruguay Short Term Government Bond Yield

    • ceicdata.com
    • dr.ceicdata.com
    Updated Aug 15, 2023
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    CEICdata.com (2023). Uruguay Short Term Government Bond Yield [Dataset]. https://www.ceicdata.com/en/indicator/uruguay/short-term-government-bond-yield
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    Dataset updated
    Aug 15, 2023
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 7, 2025 - Mar 24, 2025
    Area covered
    Uruguay
    Description

    Key information about Uruguay Short Term Government Bond Yield

    • Uruguay Short Term Government Bond Yield: Daily: Uruguay: 1 Year was reported at 4.79 % pa in Mar 2025, compared with 4.83 % pa in the previous day.
    • Uruguay Short Term Government Bond Yield data is updated daily, available from Oct 2003 to Mar 2025.
    • The data reached an all-time high of 5.65 % pa in Jul 2023 and a record low of 0.04 % pa in Aug 2021.
    • Short Term Government Bond Yield is reported by CEIC Data.

    The Electronic Stock Exchange of Uruguay provides daily Short Term Government Bond Yield.

  19. Chegg (CHGG) Stock: Learning Curve Ahead? (Forecast)

    • kappasignal.com
    Updated Aug 27, 2024
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    KappaSignal (2024). Chegg (CHGG) Stock: Learning Curve Ahead? (Forecast) [Dataset]. https://www.kappasignal.com/2024/08/chegg-chgg-stock-learning-curve-ahead.html
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    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    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.

    Chegg (CHGG) Stock: Learning Curve Ahead?

    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

  20. T

    Germany 10-Year Bond Yield Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS (2025). Germany 10-Year Bond Yield Data [Dataset]. https://tradingeconomics.com/germany/government-bond-yield
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    csv, xml, json, excelAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 30, 1983 - Jul 11, 2025
    Area covered
    Germany
    Description

    The yield on Germany 10Y Bond Yield rose to 2.69% on July 11, 2025, marking a 0.03 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.21 points and is 0.19 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Germany 10-Year Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

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Statista (2025). Treasury yield curve in the U.S. 2025 [Dataset]. https://www.statista.com/statistics/1058454/yield-curve-usa/
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Treasury yield curve in the U.S. 2025

Explore at:
6 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Apr 16, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Apr 16, 2025
Area covered
United States
Description

As of April 16, 2025, the yield for a ten-year U.S. government bond was 4.34 percent, while the yield for a two-year bond was 3.86 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.

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