Index Time Series for Bloomberg Grains. The frequency of the observation is daily. Moving average series are also typically included.

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.

A dataset of mentions, growth rate, and total volume of the keyphrase 'Bloomberg Billionaires Index' over time.

Index Time Series for SPDR Bloomberg Barclays Emerging Markets USD Bond ETF. The frequency of the observation is daily. Moving average series are also typically included. Under normal market conditions, 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. It is non-diversified.

Baltic Dry fell to 2,024 Index Points on September 1, 2025, down 0.05% from the previous day. Over the past month, Baltic Dry's price has risen 2.74%, and is up 5.47% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Baltic Exchange Dry Index - values, historical data, forecasts and news - updated on September of 2025.

Index Time Series for iPath® Series B Bloomberg Softs Subindex Total Return ETN. The frequency of the observation is daily. Moving average series are also typically included. The ETN offers exposure to futures contracts and not direct exposure to the physical commodities. The index is composed of one or more futures contracts on the relevant commodity (the "index components") and is intended to reflect the returns that are potentially available through (1) an unleveraged investment in those contracts plus (2) the rate of interest that could be earned on cash collateral invested in specified Treasury Bills.

Graph and download economic data for Economic Policy Uncertainty Index for United States (USEPUINDXD) from 1985-01-01 to 2025-08-31 about academic data, uncertainty, indexes, and USA.

CRB Index rose to 374.05 Index Points on August 29, 2025, up 0.21% from the previous day. Over the past month, CRB Index's price has fallen 0.60%, but it is still 14.04% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. CRB Commodity Index - values, historical data, forecasts and news - updated on September of 2025.

Graph and download economic data for Chicago Fed National Financial Conditions Index (NFCI) from 1971-01-08 to 2025-08-22 about financial, indexes, and USA.

Südkorea ist im Jahr 2021 das innovativste Land der Welt nach dem Bloomberg Innovation Index 2021. Südkorea verdrängt mit einem Indexwert von ***** Punkten den Vorjahressieger Deutschland von der Spitzenposition. Deutschland erreicht mit einem Indexwert von ***** Punkten den vierten Platz im Bloomberg Innovation Ranking 2021. Der Bloomberg Innovation Index kann Werte zwischen 0 bis 100 annehmen und basiert auf den sieben gleichgewichteten Kategorien R&D Intensity (F&E-Intensität), Manufacturing value-added (Wertschöpfung in der Fertigung), Productivity (Produktivität), High-tech density (Zahl der Hightech-Unternehmen), Tertiary Efficiency (Effizienz des tertiären Bildungsbereichs, z.B. Immatrikulationen, Abschlussquoten, Absolventen), Researcher Concentration (Forscher im F&E-Bereich) und Patent Activity (Patentanmeldungen). Weitere Kennzahlen zur Bestimmung der Innovationskraft eines Landes sind unter anderem der Global Innovation Index oder der Innovationsindikator.

Index Time Series for Bondbloxx ETF Trust - BondBloxx Bloomberg Ten Year Target Duration US Treasury ETF. The frequency of the observation is daily. Moving average series are also typically included. Under normal circumstances, the fund will invest at least 80% of its net assets (plus the amount of any borrowings for investment purposes) in a portfolio of U.S. Treasury securities that collectively have an average duration of approximately 10 years, either directly or indirectly (e.g., through derivatives). The index is comprised of certain U.S. Treasury notes and bonds that are included in the Bloomberg US Treasury Index. It is non-diversified.

Graph and download economic data for ICE BofA US High Yield Index Total Return Index Value (BAMLHYH0A0HYM2TRIV) from 1986-08-31 to 2025-08-01 about return, yield, interest rate, interest, rate, indexes, and USA.

Graph and download economic data for ICE BofA US Corporate Index Option-Adjusted Spread (BAMLC0A0CM) from 1996-12-31 to 2025-08-28 about option-adjusted spread, corporate, and USA.

Stock Market Tweets Data

  Overview

This dataset is the same as the Stock Market Tweets Data on IEEE by Bruno Taborda.

  Data Description

This dataset contains 943,672 tweets collected between April 9 and July 16, 2020, using the S&P 500 tag (#SPX500), the references to the top 25 companies in the S&P 500 index, and the Bloomberg tag (#stocks).

  Dataset Structure

created_at: The exact time this tweet was posted. text: The text of the tweet, providing… See the full description on the dataset page: https://huggingface.co/datasets/StephanAkkerman/stock-market-tweets-data.

These .csv files provide the list of contracts extracted from Bloomberg for the following futures indices:AIH8, AIM8, AIU8, AIZ8, AIH9, AIM9, AIU9. Which are futures indices on the FTSE/JSE Top 40 Index.The BLB_GEN_DATA_Oct.csv contains price information relating to the FTSE/JSE continuation contract, 3-month Jibar, and Top 40 Index. This data was used to generate the data found in the 'ALSI Futures Options Data' folder in this collection.This data was used for the production of my minor dissertation at the University of Cape Town.

Index Time Series for SPDR® Bloomberg Global Aggregate Bond UCITS ETF USD Hedged Acc. The frequency of the observation is daily. Moving average series are also typically included. NA

Daily price relative share price data for the constituents of the JSE Top 40 (as of January 2003) from 2003 to 2018. This data is being used in a working paper titled, Learning Trading Strategy Dynamics (forthcoming).

Acknowledgements: Riaz Arbi for his tutorial and presentation on using the Bloomberg Terminal and the Rblpapi R package and his scripts for querying Index constituents and stock prices.

Context

In this dataset you can find the Top 100 companies in the technology sector. You can also find 5 of the most important and used indices in the financial market as well as a list of all the companies in the S&P 500 index and in the technology sector.

The Global Industry Classification Standard also known as GICS is the primary financial industry standard for defining sector classifications. The Global Industry Classification Standard was developed by index providers MSCI and Standard and Poor’s. Its hierarchy begins with 11 sectors which can be further delineated to 24 industry groups, 69 industries, and 158 sub-industries.

You can read the definition of each sector here.

The 11 broad GICS sectors commonly used for sector breakdown reporting include the following: Energy, Materials, Industrials, Consumer Discretionary, Consumer Staples, Health Care, Financials, Information Technology, Telecommunication Services, Utilities and Real Estate.

In this case we will focuse in the Technology Sector. You can see all the sectors and industry groups here.

To determine which companies, correspond to the technology sector, we use Yahoo Finance, where we rank the companies according to their “Market Cap”. After having the list of the Top 100 best valued companies in the sector, we proceeded to download the historical data of each of the companies using the NASDAQ website.

Regarding to the indices, we searched various sources to find out which were the most used and determined that the 5 most frequently used indices are: Dow Jones Industrial Average (DJI), S&P 500 (SPX), NASDAQ Composite (IXIC), Wilshire 5000 Total Market Inde (W5000) and to specifically view the technology sector SPDR Select Sector Fund - Technology (XLK). Historical data for these indices was also obtained from the NASDQ website.

Content

In total there are 107 files in csv format. They are composed as follows:

• 100 files contain the historical data of tech companies.
• 5 files contain the historical data of the most used indices.
• 1 file contain the list of all the companies in the S&P 500 index.
• 1 file contain the list of all the companies in the technology sector.

Column Description

Every company and index file has the same structure with the same columns:

Date: It is the date on which the prices were recorded. High: Is the highest price at which a stock traded during the course of the trading day. Low: Is the lowest price at which a stock traded during the course of the trading day. Open: Is the price at which a stock started trading when the opening bell rang. Close: Is the last price at which a stock trades during a regular trading session. Volume: Is the number of shares that changed hands during a given day. Adj Close: The adjusted closing price factors in corporate actions, such as stock splits, dividends, and rights offerings.

The two other files have different columns names:

List of S&P 500 companies

Symbol: Ticker symbol of the company. Name: Name of the company. Sector: The sector to which the company belongs.

Technology Sector Companies List

Symbol: Ticker symbol of the company. Name: Name of the company. Price: Current price at which a stock can be purchased or sold. (11/24/20) Change: Net change is the difference between closing prices from one day to the next. % Change: Is the difference between closing prices from one day to the next in percentage. Volume: Is the number of shares that changed hands during a given day. Avg Vol: Is the daily average of the cumulative trading volume during the last three months. Market Cap (Billions): Is the total value of a company’s shares outstanding at a given moment in time. It is calculated by multiplying the number of shares outstanding by the price of a single share. PE Ratio: Is the ratio of a company's share (stock) price to the company's earnings per share. The ratio is used for valuing companies and to find out whether they are overvalued or undervalued.

Acknowledgements

SEC EDGAR | Company Filings NASDAQ | Historical Quotes Yahoo Finance | Technology Sector Wikipedia | List of S&P 500 companies S&P Dow Jones Indices | S&P 500 [S&P Dow Jones Indices | DJI](https://www.spglobal.com/spdji/en/i...

South African monthly The FTSE/JSE All Share Index data was procured from Bloomberg and the nominal effective exchange rate (NEER) from South African Reserve Bank (SARB) database, where the data has been seasonally adjusted specifying 2015 as the base year. Volatility measures in these markets are generated through a multivaraite EGARCH model in the WinRATS software. South African monthly consumer price index (CPI) data was procured from the International Monetary Fund’s International Financial Statistics (IFS) database, where the data has been seasonally adjusted, specifying 2010 as the base year. The inflation rate is constructed by taking the year-on-year changes in the monthly CPI figures. Inflation uncertainty was generated through the GARCH model in Eviews software. The following South African macroeconomic variables were procured from the SARB: real industrial production (IP), which is used as a proxy for real GDP, real investment (I), real consumption (C), inflation (CPI), broad money (M3), the 3-month treasury bill rate (TB3) and the policy rate (R), a measure of U.S. EPU developed by Baker et al. (2016) to account for global developments available at http://www.policyuncertainty.com/us_monthly.html.