Green bond indices make it easier for investors to track the performance of green bonds and compare it with other investments. Bloomberg Barclays MSCI Global Green Bond Index was launched in 2014 with the aim provide a benchmark for the green bonds market. Between 2015 and 2020, the Bloomberg Barclays MSCI Global Green Bond Index saw an overall increase, reaching a value of 121.91 as of the end of 2020. By the end of 2022, however, the index value fell to 86.94, before increasing again to 96.09 by the end of 2023.
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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
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Index Time Series for SPDR Barclays Short Term Corporate Bond. The frequency of the observation is daily. Moving average series are also typically included. The fund generally invests substantially all, but at least 80%, of its total assets in the securities comprising the index and in securities that the Adviser determines have economic characteristics that are substantially identical to the economic characteristics of the securities that comprise the index. The index is designed to measure the performance of the short term U.S. corporate bond market.
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Index Time Series for SPDR Barclays Cap US Treasury Bond. The frequency of the observation is daily. Moving average series are also typically included. NA
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Taiwan LF: Barclays Bank PLC: Equities data was reported at 239.000 NTD mn in Jul 2017. This records a decrease from the previous number of 249.000 NTD mn for Jun 2017. Taiwan LF: Barclays Bank PLC: Equities data is updated monthly, averaging 529.000 NTD mn from Jul 2005 (Median) to Jul 2017, with 145 observations. The data reached an all-time high of 1,051.000 NTD mn in Jul 2012 and a record low of 124.000 NTD mn in Jul 2005. Taiwan LF: Barclays Bank PLC: Equities data remains active status in CEIC and is reported by Banking Bureau, Financial Supervisory Commission. The data is categorized under Global Database’s Taiwan – Table TW.KB033: Condensed Financial Structure: Local Branches of Foreign Banks.
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Graph and download economic data for ICE BofA US Corporate Index Option-Adjusted Spread (BAMLC0A0CM) from 1996-12-31 to 2025-08-11 about option-adjusted spread, corporate, and USA.
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Index Time Series for GraniteShares 3x Long Barclays Daily ETC. The frequency of the observation is daily. Moving average series are also typically included.
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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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Index Time Series for Ossiam Shiller Barclays Cape® US Sector Value TR 1C (EUR). The frequency of the observation is daily. Moving average series are also typically included. NA
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View data of the effective yield of an index of non-investment grade publically issued corporate debt in the U.S.
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India Barclays Bank: Return on Investments data was reported at 5.610 % in 2018. This records a decrease from the previous number of 5.930 % for 2017. India Barclays Bank: Return on Investments data is updated yearly, averaging 6.850 % from Mar 1999 (Median) to 2018, with 20 observations. The data reached an all-time high of 14.900 % in 1999 and a record low of 4.520 % in 2010. India Barclays Bank: Return on Investments data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Banking Sector – Table IN.KBR013: Foreign Banks: Selected Financial Ratios: Barclays Bank.
Astrazeneca was the leading pharmaceutical company in the United Kingdom as of March 7, 2024, with a market capitalization amounting to approximately ***** billion U.S. dollars. GlaxoSmithKline followed as the second largest pharma company in the country, with market capitalization of nearly **** billion U.S. dollars. Examining the development of the FTSE 100 Index, which was launched in January 1984 with a base level of 1,000, increased by more than sevenfold to date. What is the FTSE 100 index? The Financial Times Stock Exchange 100 Index, commonly known as the "Footsie", is the most widely recognized stock market index in the United Kingdom. It is made up of the 100 largest blue-chip companies on the London Stock Exchange. Companies from various sectors, such as healthcare, consumer goods, and energy, are included in the index, as are leading banks of the United Kingdom, such as HSBC, Lloyds Banking Group, and Barclays. Moreover, it can be seen as a reflection of the investment climate in the United Kingdom. What is not included in the FTSE 100 Index? Most notably, the FTSE 100 Index, like most indices, is not adjusted for inflation. While inflation in the United Kingdom has gone down dramatically since 2023, it might be useful to adjust the historic figures on the index when comparing historic data to current levels. This is especially important when the index seems to have increased by a few percentage points because inflation may have increased at a faster rate than stock prices.
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Graph and download economic data for ICE BofA CCC & Lower US High Yield Index Effective Yield (BAMLH0A3HYCEY) from 1996-12-31 to 2025-08-12 about CCC, yield, interest rate, interest, rate, and USA.
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Graph and download economic data for ICE BofA BBB US Corporate Index Effective Yield (BAMLC0A4CBBBEY) from 1996-12-31 to 2025-08-11 about BBB, corporate, yield, interest rate, interest, rate, and USA.
Open Banking Data - Bank and ATM locations Four csv files containing geolocations for Barclays' and HSBC's ATMs and branches in the UK. Their Open Banking API documentation is available in the following links: https://developer.hsbc.com/index.html https://developer.barclays.com/catalogue/api
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Discover how Starbucks navigates market challenges with a $105.6 billion market cap, despite recent stock performance and EPS concerns.
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The S&P Bitcoin index is anticipated to rise with moderate risk. Potential indicators include increased investor confidence, a favorable regulatory environment, and a positive correlation with traditional financial markets. However, risks associated with the index include volatility, exchange security issues, and regulatory uncertainties, which could impact its performance and value.
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India Barclays Bank: Return on Equity data was reported at 4.690 % in 2018. This records a decrease from the previous number of 8.180 % for 2017. India Barclays Bank: Return on Equity data is updated yearly, averaging 6.770 % from Mar 1999 (Median) to 2018, with 20 observations. The data reached an all-time high of 19.430 % in 2004 and a record low of -14.480 % in 2000. India Barclays Bank: Return on Equity data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Banking Sector – Table IN.KBR013: Foreign Banks: Selected Financial Ratios: Barclays Bank.
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Barclays Bank: Inv: In India data was reported at 103,810.021 INR mn in 2018. This records an increase from the previous number of 79,282.955 INR mn for 2017. Barclays Bank: Inv: In India data is updated yearly, averaging 4,653.800 INR mn from Mar 1991 (Median) to 2018, with 28 observations. The data reached an all-time high of 141,154.207 INR mn in 2014 and a record low of 42.900 INR mn in 1991. Barclays Bank: Inv: In India data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under Global Database’s India – Table IN.KBP012: Foreign Banks: Assets and Liabilities: Barclays Bank.
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India Barclays Bank: Financial Ratio: Investment-Deposit data was reported at 123.790 % in 2018. This records an increase from the previous number of 75.280 % for 2017. India Barclays Bank: Financial Ratio: Investment-Deposit data is updated yearly, averaging 149.070 % from Mar 1999 (Median) to 2018, with 20 observations. The data reached an all-time high of 559.230 % in 2005 and a record low of 41.390 % in 2008. India Barclays Bank: Financial Ratio: Investment-Deposit data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Banking Sector – Table IN.KBR013: Foreign Banks: Selected Financial Ratios: Barclays Bank.
Green bond indices make it easier for investors to track the performance of green bonds and compare it with other investments. Bloomberg Barclays MSCI Global Green Bond Index was launched in 2014 with the aim provide a benchmark for the green bonds market. Between 2015 and 2020, the Bloomberg Barclays MSCI Global Green Bond Index saw an overall increase, reaching a value of 121.91 as of the end of 2020. By the end of 2022, however, the index value fell to 86.94, before increasing again to 96.09 by the end of 2023.