100+ 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/
    Explore at:
    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. Yield Curve and Predicted GDP Growth

    • clevelandfed.org
    csv
    Updated Oct 5, 2020
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    Federal Reserve Bank of Cleveland (2020). Yield Curve and Predicted GDP Growth [Dataset]. https://www.clevelandfed.org/indicators-and-data/yield-curve-and-predicted-gdp-growth
    Explore at:
    csvAvailable download formats
    Dataset updated
    Oct 5, 2020
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    License

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

    Description

    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.

  3. J

    SMOOTH DYNAMIC FACTOR ANALYSIS WITH APPLICATION TO THE US TERM STRUCTURE OF...

    • journaldata.zbw.eu
    txt
    Updated Dec 7, 2022
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    Borus Jungbacker; Siem Jan Koopman; Michel van der Wel; Borus Jungbacker; Siem Jan Koopman; Michel van der Wel (2022). SMOOTH DYNAMIC FACTOR ANALYSIS WITH APPLICATION TO THE US TERM STRUCTURE OF INTEREST RATES (replication data) [Dataset]. http://doi.org/10.15456/jae.2022321.0712353933
    Explore at:
    txt(1307), txt(53831)Available download formats
    Dataset updated
    Dec 7, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Borus Jungbacker; Siem Jan Koopman; Michel van der Wel; Borus Jungbacker; Siem Jan Koopman; Michel van der Wel
    License

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

    Description

    We consider the dynamic factor model and show how smoothness restrictions can be imposed on factor loadings by using cubic spline functions. We develop statistical procedures based on Wald, Lagrange multiplier and likelihood ratio tests for this purpose. The methodology is illustrated by analyzing a newly updated monthly time series panel of US term structure of interest rates. Dynamic factor models with and without smooth loadings are compared with dynamic models based on Nelson-Siegel and cubic spline yield curves. We conclude that smoothness restrictions on factor loadings are supported by the interest rate data and can lead to more accurate forecasts.

  4. J

    An empirical analysis of nonstationarity in a panel of interest rates with...

    • jda-test.zbw.eu
    txt
    Updated Nov 4, 2022
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    Hyungsik Roger Moon; Benoit Perron; Hyungsik Roger Moon; Benoit Perron (2022). An empirical analysis of nonstationarity in a panel of interest rates with factors (replication data) [Dataset]. https://jda-test.zbw.eu/dataset/an-empirical-analysis-of-nonstationarity-in-a-panel-of-interest-rates-with-factors
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    txt(21576), txt(17400), txt(2613)Available download formats
    Dataset updated
    Nov 4, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Hyungsik Roger Moon; Benoit Perron; Hyungsik Roger Moon; Benoit Perron
    License

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

    Description

    This paper studies nonstationarities in a panel of Canadian and US interest rates of different maturities and risk. We focus on methods which model the cross-sectional dependence within the panel as a linear dynamic factor model, and decompose our data into common and idiosyncratic components that we analyze in turn. Our results suggest the presence of a single nonstationary factor in our panel. Since some of the idiosyncratic components are stationary, we conclude that these series are cointegrated. Finally, the dominant factors can be interpreted as level and slope factors as in the term structure literature.

  5. T

    US 10 Year Treasury Bond Note Yield Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +14more
    csv, excel, json, xml
    Updated Jun 15, 2025
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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 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
    Jun 1, 1912 - Jul 3, 2025
    Area covered
    United States
    Description

    The yield on US 10 Year Note Bond Yield rose to 4.35% on July 3, 2025, marking a 0.07 percentage point increase from the previous session. Over the past month, the yield has fallen by 0.01 points and is 0.02 points lower 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.

  6. Yield curve in the UK 2024

    • statista.com
    • ai-chatbox.pro
    Updated Jan 30, 2025
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    Statista (2025). Yield curve in the UK 2024 [Dataset]. https://www.statista.com/statistics/1118682/yield-curve-united-kingdom/
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    Dataset updated
    Jan 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2024
    Area covered
    United Kingdom
    Description

    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.

  7. 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 4, 2025
    Area covered
    China
    Description

    The yield on China 10Y Bond Yield rose to 1.64% on July 4, 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 0.62 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.

  8. 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

  9. J

    Reassessing the Predictive Power of the Yield Spread for Recessions in the...

    • journaldata.zbw.eu
    Updated Dec 2, 2024
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    Patrick Coe; Shaun Vahey; Patrick Coe; Shaun Vahey (2024). Reassessing the Predictive Power of the Yield Spread for Recessions in the United States (replication data) [Dataset]. http://doi.org/10.15456/jae.2024325.1538071529
    Explore at:
    xlsx(21387), application/vnd.wolfram.mathematica.package(2632), application/vnd.wolfram.mathematica.package(5543), application/vnd.wolfram.mathematica.package(6398), xlsx(20287), application/vnd.wolfram.mathematica.package(5290), application/vnd.wolfram.mathematica.package(10353), xlsx(675979), application/vnd.wolfram.mathematica.package(20640), application/vnd.wolfram.mathematica.package(11843), application/vnd.wolfram.mathematica.package(10367), application/vnd.wolfram.mathematica.package(15481), application/vnd.wolfram.mathematica.package(8779), application/vnd.wolfram.mathematica.package(10449), application/vnd.wolfram.mathematica.package(3783), application/vnd.wolfram.mathematica.package(5164), xlsx(21958), xlsx(729850), application/vnd.wolfram.mathematica.package(10342), application/vnd.wolfram.mathematica.package(19055), application/vnd.wolfram.mathematica.package(19374), application/vnd.wolfram.mathematica.package(5751), xlsx(34992872), application/vnd.wolfram.mathematica.package(12630), pdf(131468)Available download formats
    Dataset updated
    Dec 2, 2024
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Patrick Coe; Shaun Vahey; Patrick Coe; Shaun Vahey
    License

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

    Description

    Details of the Data and Code for this paper are in readme_cv.pdf.

    Abstract Rudebusch and Williams (2009, RW) predict recessions in the United States utilising a probit model with the lagged yield spread as a real-time predictor. Mindful of the importance of recent yield curve movements, we update their analysis and evaluate quarterly forecasts from their probit model up to the end of 2023. We also analyse lagged financial conditions as an alternative real-time predictor. We find that both the yield spread and financial conditions perform relatively well at the longer horizons considered by the experts in the Survey of Professional Forecasters.

  10. 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.

  11. T

    Japan 10 Year Government Bond Yield Data

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS (2025). Japan 10 Year Government Bond Yield Data [Dataset]. https://tradingeconomics.com/japan/government-bond-yield
    Explore at:
    csv, excel, xml, 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
    Oct 31, 1966 - Jul 3, 2025
    Area covered
    Japan
    Description

    The yield on Japan 10Y Bond Yield rose to 1.44% on July 3, 2025, marking a 0.01 percentage point increase from the previous session. Over the past month, the yield has fallen by 0.06 points, though it remains 0.36 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Japan 10 Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

  12. F

    Moody's Seasoned Baa Corporate Bond Yield Relative to Yield on 10-Year...

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
    + more versions
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    (2025). Moody's Seasoned Baa Corporate Bond Yield Relative to Yield on 10-Year Treasury Constant Maturity [Dataset]. https://fred.stlouisfed.org/series/BAA10Y
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for Moody's Seasoned Baa Corporate Bond Yield Relative to Yield on 10-Year Treasury Constant Maturity (BAA10Y) from 1986-01-02 to 2025-07-02 about Baa, spread, 10-year, maturity, bonds, Treasury, yield, corporate, interest rate, interest, rate, and USA.

  13. k

    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

  14. T

    Germany 10-Year Bond Yield Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 26, 2017
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    TRADING ECONOMICS (2017). Germany 10-Year Bond Yield Data [Dataset]. https://tradingeconomics.com/germany/government-bond-yield
    Explore at:
    csv, xml, json, excelAvailable download formats
    Dataset updated
    May 26, 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
    May 30, 1983 - Jul 1, 2025
    Area covered
    Germany
    Description

    The yield on Germany 10Y Bond Yield eased to 2.57% on July 1, 2025, marking a 0.03 percentage point decrease from the previous session. Over the past month, the yield has edged up by 0.04 points, though it remains 0.04 points lower 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.

  15. T

    Thailand 10-Year Government Bond Yield Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 3, 2025
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    TRADING ECONOMICS, Thailand 10-Year Government Bond Yield Data [Dataset]. https://tradingeconomics.com/thailand/government-bond-yield
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Jul 3, 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
    Aug 7, 2000 - Jul 2, 2025
    Area covered
    Thailand
    Description

    The yield on Thailand 10Y Bond Yield held steady at 1.60% on July 2, 2025. Over the past month, the yield has fallen by 0.20 points and is 1.11 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Thailand 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

  16. m

    Data from: Analysis of photonuclear yield curves by the variable bin...

    • data.mendeley.com
    Updated Dec 2, 1980
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    P.D. Allen (1980). Analysis of photonuclear yield curves by the variable bin Penfold-Leiss method [Dataset]. http://doi.org/10.17632/bgw4yt8hnt.1
    Explore at:
    Dataset updated
    Dec 2, 1980
    Authors
    P.D. Allen
    License

    https://www.elsevier.com/about/policies/open-access-licenses/elsevier-user-license/cpc-license/https://www.elsevier.com/about/policies/open-access-licenses/elsevier-user-license/cpc-license/

    Description

    Title of program: VBPL Catalogue Id: AAVC_v1_0

    Nature of problem Various standard procedures have been evolved for the unfolding of photonuclear cross sections from a measured set of bremsstrahlung induced yield curves. This program uses the Variable Bin Penfold-Leiss (VBPL) method of matrix inversion to obtain a set of cross section values each with its corresponding energy resolution. Various options are available. These include (1) conventional constant bin Penfold- Leiss analysis, (2) operator pre-determined analysis bin width, variable with photon energy ...

    Versions of this program held in the CPC repository in Mendeley Data AAVC_v1_0; VBPL; 10.1016/0010-4655(80)90038-7

    This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)

  17. M

    10 Year Treasury Yield

    • macrotrends.net
    csv
    Updated Jul 31, 2025
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    MACROTRENDS (2025). 10 Year Treasury Yield [Dataset]. https://www.macrotrends.net/2016/10-year-treasury-bond-rate-yield-chart
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    1962 - 2025
    Area covered
    United States
    Description

    Interactive chart showing the daily 10 year treasury yield back to 1962. The 10 year treasury is the benchmark used to decide mortgage rates across the U.S. and is the most liquid and widely traded bond in the world.

  18. 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.

  19. J

    Term structure surprises: the predictive content of curvature, level, and...

    • journaldata.zbw.eu
    • jda-test.zbw.eu
    txt, xls
    Updated Dec 7, 2022
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    Emanuel Moench; Emanuel Moench (2022). Term structure surprises: the predictive content of curvature, level, and slope (replication data) [Dataset]. http://doi.org/10.15456/jae.2022320.0726162640
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    xls(42991), txt(28817), txt(2996), txt(47279), xls(68472)Available download formats
    Dataset updated
    Dec 7, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Emanuel Moench; Emanuel Moench
    License

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

    Description

    This paper analyzes the predictive content of the term structure components level, slope, and curvature within a dynamic factor model of macroeconomic and interest rate data. Surprise changes of the three components are identified using sign restrictions, and their macroeconomic underpinnings are studied via impulse response analysis. The curvature factor is found to carry predictive information both about the future evolution of the yield curve and the macroeconomy. In particular, unexpected increases of the curvature factor precede a flattening of the yield curve and announce a significant decline of output more than 1 year ahead.

  20. T

    India 10-Year Government Bond Yield Data

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, India 10-Year Government Bond Yield Data [Dataset]. https://tradingeconomics.com/india/government-bond-yield
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    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 4, 2025
    Area covered
    India
    Description

    The yield on India 10Y Bond Yield rose to 6.36% on July 4, 2025, marking a 0.01 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.11 points, though it remains 0.63 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.

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Email
Click to copy link
Link copied
Close
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Statista (2025). Treasury yield curve in the U.S. 2025 [Dataset]. https://www.statista.com/statistics/1058454/yield-curve-usa/
Organization logo

Treasury yield curve in the U.S. 2025

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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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