The yield on China 10Y Bond Yield eased to 1.66% on July 17, 2025, marking a 0 percentage point decrease from the previous session. Over the past month, the yield has edged up by 0.02 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.

The yield on Japan 10Y Bond Yield eased to 1.53% on July 18, 2025, marking a 0.03 percentage point decrease from the previous session. Over the past month, the yield has edged up by 0.12 points and is 0.49 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.

The yield on United Kingdom 2Y Bond Yield rose to 3.91% on July 17, 2025, marking a 0.03 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.01 points, though it remains 0.07 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. This dataset includes a chart with historical data for UK 2Y.

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.

The yield on Germany 10Y Bond Yield eased to 2.68% on July 17, 2025, marking a 0.01 percentage point decrease from the previous session. Over the past month, the yield has edged up by 0.19 points and is 0.27 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.

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.

Franklin Trust (FT): Navigating the Market Maze?

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

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.

FT Aviation: Soaring to New Heights with Fixed-to-Floating Preferred Shares? (FTAIO)

Financial data:

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

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

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

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

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

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

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

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

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

• Data cleaning and preprocessing are essential before model training

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

The yield on UK 20 Year Bond Yield rose to 5.37% on July 17, 2025, marking a 0.02 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.25 points and is 0.86 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. This dataset includes a chart with historical data for UK 20Y.

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.

FT Franklin Universal Trust Common Stock

Financial data:

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

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

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

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

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

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

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

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

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

• Data cleaning and preprocessing are essential before model training

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

The yield on France 10Y Bond Yield rose to 3.40% on July 18, 2025, marking a 0.02 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.13 points and is 0.27 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. France 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

The yield on United Kingdom 10Y Bond Yield rose to 4.66% on July 17, 2025, marking a 0.02 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.16 points and is 0.59 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. UK 10 Year Gilt Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

The yield on Russia 10Y Bond Yield eased to 14.26% on July 17, 2025, marking a 0.04 percentage point decrease from the previous session. Over the past month, the yield has fallen by 0.86 points and is 1.41 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Russia 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

Graph and download economic data for ICE BofA US Corporate Index Effective Yield (BAMLC0A0CMEY) from 1996-12-31 to 2025-07-15 about yield, corporate, interest rate, interest, rate, and USA.

The yield on Ireland 10Y Bond Yield eased to 2.95% on July 17, 2025, marking a 0.02 percentage point decrease from the previous session. Over the past month, the yield has edged up by 0.12 points and is 0.13 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Ireland 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

The yield on Italy 10Y Bond Yield eased to 3.57% on July 17, 2025, marking a 0.01 percentage point decrease from the previous session. Over the past month, the yield has edged up by 0.09 points, though it remains 0.15 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Italy 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

The yield on Romania 10Y Bond Yield rose to 7.20% on July 17, 2025, marking a 0.03 percentage point increase from the previous session. Over the past month, the yield has fallen by 0.35 points, though it remains 0.56 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Romania 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

The Federal Reserve's balance sheet has undergone significant changes since 2007, reflecting its response to major economic crises. From a modest *** trillion U.S. dollars at the end of 2007, it ballooned to approximately **** trillion U.S. dollars by June 2025. This dramatic expansion, particularly during the 2008 financial crisis and the COVID-19 pandemic - both of which resulted in negative annual GDP growth in the U.S. - showcases the Fed's crucial role in stabilizing the economy through expansionary monetary policies. Impact on inflation and interest rates The Fed's expansionary measures, while aimed at stimulating economic growth, have had notable effects on inflation and interest rates. Following the quantitative easing in 2020, inflation in the United States reached ***** percent in 2022, the highest since 1991. However, by *************, inflation had declined to *** percent. Concurrently, the Federal Reserve implemented a series of interest rate hikes, with the rate peaking at **** percent in ***********, before the first rate cut since ************** occurred in **************. Financial implications for the Federal Reserve The expansion of the Fed's balance sheet and subsequent interest rate hikes have had significant financial implications. In 2023, the Fed reported a negative net income of ***** billion U.S. dollars, a stark contrast to the ***** billion U.S. dollars profit in 2022. This unprecedented shift was primarily due to rapidly rising interest rates, which caused the Fed's interest expenses to soar to over *** billion U.S. dollars in 2023. Despite this, the Fed's net interest income on securities acquired through open market operations reached a record high of ****** billion U.S. dollars in the same year.

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.

LON:SYME SUPPLY@ME CAPITAL PLC

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

Graph and download economic data for ICE BofA Euro High Yield Index Option-Adjusted Spread (BAMLHE00EHYIOAS) from 1997-12-31 to 2025-07-15 about option-adjusted spread, Euro Area, Europe, yield, interest rate, interest, rate, and indexes.

The yield on Australia 10Y Bond Yield rose to 4.34% on July 18, 2025, marking a 0 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.12 points and is 0.05 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Australia 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.