Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Argentina Treasury Bonds: Parity: USD: Discount data was reported at 49.000 % in Aug 2020. This records an increase from the previous number of 48.700 % for Jul 2020. Argentina Treasury Bonds: Parity: USD: Discount data is updated monthly, averaging 95.460 % from Dec 2005 (Median) to Aug 2020, with 177 observations. The data reached an all-time high of 161.700 % in Nov 2015 and a record low of 29.130 % in Mar 2009. Argentina Treasury Bonds: Parity: USD: Discount data remains active status in CEIC and is reported by Central Bank of Argentina. The data is categorized under Global Database’s Argentina – Table AR.M009: Treasury Securities: Yield and Spread (Discontinued).
Facebook
TwitterAs of July 18, 2025, the major economy with the highest yield on 10-year government bonds was Turkey, with a yield of ** percent. This is due to the risks investors take when investing in Turkey, notably due to high inflation rates potentially eradicating any profits made when using a foreign currency to investing in securities denominated in Turkish lira. Of the major developed economies, United Kingdom had one the highest yield on 10-year government bonds at this time with **** percent, while Switzerland had the lowest at **** percent. How does inflation influence the yields of government bonds? Inflation reduces purchasing power over time. Due to this, investors seek higher returns to offset the anticipated decrease in purchasing power resulting from rapid price rises. In countries with high inflation, government bond yields often incorporate investor expectations and risk premiums, resulting in comparatively higher rates offered by these bonds. Why are government bond rates significant? Government bond rates are an important indicator of financial markets, serving as a benchmark for borrowing costs, interest rates, and investor sentiment. They affect the cost of government borrowing, influence the price of various financial instruments, and serve as a reflection of expectations regarding inflation and economic growth. For instance, in financial analysis and investing, people often use the 10-year U.S. government bond rates as a proxy for the longer-term risk-free rate.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Argentina Treasury Bonds Parity: BONAR 24: USD data was reported at 46.500 % in Aug 2020. This records an increase from the previous number of 43.200 % for Jul 2020. Argentina Treasury Bonds Parity: BONAR 24: USD data is updated monthly, averaging 104.850 % from Apr 2016 (Median) to Aug 2020, with 52 observations. The data reached an all-time high of 117.500 % in May 2017 and a record low of 27.600 % in Apr 2020. Argentina Treasury Bonds Parity: BONAR 24: USD data remains active status in CEIC and is reported by Central Bank of Argentina. The data is categorized under Global Database’s Argentina – Table AR.M009: Treasury Securities: Yield and Spread (Discontinued).
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The benchmark interest rate in Argentina was last recorded at 29 percent. This dataset provides the latest reported value for - Argentina Money Market Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
Facebook
TwitterThe Emerging Markets Bond Index (EMBI), commonly known as "riesgo país" in Spanish speaking countries, is a weighted financial benchmark that measures the interest rates paid each day by a selected portfolio of government bonds from emerging countries. It is measured in base points, which reflect the difference between the return rates paid by emerging countries' government bonds and those offered by U.S. Treasury bills. This difference is defined as "spread". Which Latin American country has the highest risk bonds? As of September 19, 2024, Venezuela was the Latin American country with the greatest financial risk and highest expected returns of government bonds, with an EMBI spread of around 254 percent. This means that the annual interest rates paid by Venezuela's sovereign debt titles were estimated to be exponentially higher than those offered by the U.S. Treasury. On the other hand, Brazil's EMBI reached 207 index points at the end of August 2023. In 2023, Venezuela also had the highest average EMBI in Latin America, exceeding 40,000 base points. The impact of COVID-19 on emerging market bonds The economic crisis spawned by the coronavirus pandemic heavily affected the financial market's estimated risks of emerging governmental bonds. For instance, as of June 30, 2020, Argentina's EMBI spread had increased more than four percentage points in comparison to January 30, 2020. All the Latin American economies measured saw a significant increase of the EMBI spread in the first half of the year.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Argentina recorded a Government Debt to GDP of 88.40 percent of the country's Gross Domestic Product in 2023. This dataset provides - Argentina Government Debt To GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Argentina Treasury Bonds: Parity: ARS: Discount data was reported at 101.900 % in Aug 2020. This records an increase from the previous number of 86.200 % for Jul 2020. Argentina Treasury Bonds: Parity: ARS: Discount data is updated monthly, averaging 73.685 % from Nov 2005 (Median) to Aug 2020, with 178 observations. The data reached an all-time high of 120.600 % in Dec 2015 and a record low of 24.920 % in Mar 2009. Argentina Treasury Bonds: Parity: ARS: Discount data remains active status in CEIC and is reported by Central Bank of Argentina. The data is categorized under Global Database’s Argentina – Table AR.M009: Treasury Securities: Yield and Spread (Discontinued).
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Key information about Argentina Policy Rate
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Argentina AR: External Debt: Average Interest on New External Debt Commitments data was reported at 8.033 % in 2016. This records an increase from the previous number of 2.824 % for 2015. Argentina AR: External Debt: Average Interest on New External Debt Commitments data is updated yearly, averaging 7.703 % from Dec 1970 (Median) to 2016, with 47 observations. The data reached an all-time high of 13.668 % in 1980 and a record low of 1.041 % in 2011. Argentina AR: External Debt: Average Interest on New External Debt Commitments data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Argentina – Table AR.World Bank.WDI: External Debt: Terms and Undisbursed Debt. Interest represents the average interest rate on all new public and publicly guaranteed loans contracted during the year. To obtain the average, the interest rates for all public and publicly guaranteed loans have been weighted by the amounts of the loans. Public debt is an external obligation of a public debtor, including the national government, a political subdivision (or an agency of either), and autonomous public bodies. Publicly guaranteed debt is an external obligation of a private debtor that is guaranteed for repayment by a public entity.; ; World Bank, International Debt Statistics.; Weighted average;
Facebook
Twitterhttps://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html
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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
Facebook
Twitterhttps://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html
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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
(停止更新)长期国库债券:产次:阿根廷披索:贴现率在08-01-2020达101.900%,相较于07-01-2020的86.200%有所增长。(停止更新)长期国库债券:产次:阿根廷披索:贴现率数据按月更新,11-01-2005至08-01-2020期间平均值为73.685%,共178份观测结果。该数据的历史最高值出现于12-01-2015,达120.600%,而历史最低值则出现于03-01-2009,为24.920%。CEIC提供的(停止更新)长期国库债券:产次:阿根廷披索:贴现率数据处于定期更新的状态,数据来源于Banco Central de la Republica Argentina,数据归类于全球数据库的阿根廷 – Table AR.M009: Treasury Securities: Yield and Spread (Discontinued)。
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
(停止更新)长期国库券平价:BONAR 24:美元在08-01-2020达46.500%,相较于07-01-2020的43.200%有所增长。(停止更新)长期国库券平价:BONAR 24:美元数据按月更新,04-01-2016至08-01-2020期间平均值为104.850%,共52份观测结果。该数据的历史最高值出现于05-01-2017,达117.500%,而历史最低值则出现于04-01-2020,为27.600%。CEIC提供的(停止更新)长期国库券平价:BONAR 24:美元数据处于定期更新的状态,数据来源于Banco Central de la Republica Argentina,数据归类于全球数据库的阿根廷 – Table AR.M009: Treasury Securities: Yield and Spread (Discontinued)。
Not seeing a result you expected?
Learn how you can add new datasets to our index.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Argentina Treasury Bonds: Parity: USD: Discount data was reported at 49.000 % in Aug 2020. This records an increase from the previous number of 48.700 % for Jul 2020. Argentina Treasury Bonds: Parity: USD: Discount data is updated monthly, averaging 95.460 % from Dec 2005 (Median) to Aug 2020, with 177 observations. The data reached an all-time high of 161.700 % in Nov 2015 and a record low of 29.130 % in Mar 2009. Argentina Treasury Bonds: Parity: USD: Discount data remains active status in CEIC and is reported by Central Bank of Argentina. The data is categorized under Global Database’s Argentina – Table AR.M009: Treasury Securities: Yield and Spread (Discontinued).