50 datasets found
  1. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Dec 1, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 1, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Description

    View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

  2. F

    Equity Market Volatility Tracker: Macroeconomic News and Outlook: Inflation

    • fred.stlouisfed.org
    json
    Updated Dec 2, 2025
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    (2025). Equity Market Volatility Tracker: Macroeconomic News and Outlook: Inflation [Dataset]. https://fred.stlouisfed.org/series/EMVMACROINFLATION
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 2, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Equity Market Volatility Tracker: Macroeconomic News and Outlook: Inflation (EMVMACROINFLATION) from Jan 1985 to Nov 2025 about volatility, uncertainty, equity, inflation, and USA.

  3. T

    India Inflation Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 12, 2025
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    TRADING ECONOMICS (2025). India Inflation Rate [Dataset]. https://tradingeconomics.com/india/inflation-cpi
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Nov 12, 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
    Jan 31, 2012 - Oct 31, 2025
    Area covered
    India
    Description

    Inflation Rate in India decreased to 0.25 percent in October from 1.44 percent in September of 2025. This dataset provides - India Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  4. US Financial Indicators - 1974 to 2024

    • kaggle.com
    zip
    Updated Nov 25, 2024
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    Abhishek Bhatnagar (2024). US Financial Indicators - 1974 to 2024 [Dataset]. https://www.kaggle.com/datasets/abhishekb7/us-financial-indicators-1974-to-2024
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    zip(15336 bytes)Available download formats
    Dataset updated
    Nov 25, 2024
    Authors
    Abhishek Bhatnagar
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    United States
    Description

    U.S. Economic and Financial Dataset

    Dataset Description

    This dataset combines historical U.S. economic and financial indicators, spanning the last 50 years, to facilitate time series analysis and uncover patterns in macroeconomic trends. It is designed for exploring relationships between interest rates, inflation, economic growth, stock market performance, and industrial production.

    Key Features

    • Frequency: Monthly
    • Time Period: Last 50 years from Nov-24
    • Sources:
      • Federal Reserve Economic Data (FRED)
      • Yahoo Finance

    Dataset Feature Description

    1. Interest Rate (Interest_Rate):

      • The effective federal funds rate, representing the interest rate at which depository institutions trade federal funds overnight.
    2. Inflation (Inflation):

      • The Consumer Price Index for All Urban Consumers, an indicator of inflation trends.
    3. GDP (GDP):

      • Real GDP measures the inflation-adjusted value of goods and services produced in the U.S.
    4. Unemployment Rate (Unemployment):

      • The percentage of the labor force that is unemployed and actively seeking work.
    5. Stock Market Performance (S&P500):

      • Monthly average of the adjusted close price, representing stock market trends.
    6. Industrial Production (Ind_Prod):

      • A measure of real output in the industrial sector, including manufacturing, mining, and utilities.

    Dataset Statistics

    1. Total Entries: 599
    2. Columns: 6
    3. Memory usage: 37.54 kB
    4. Data types: float64

    Feature Overview

    • Columns:
      • Interest_Rate: Monthly Federal Funds Rate (%)
      • Inflation: CPI (All Urban Consumers, Index)
      • GDP: Real GDP (Billions of Chained 2012 Dollars)
      • Unemployment: Unemployment Rate (%)
      • Ind_Prod: Industrial Production Index (2017=100)
      • S&P500: Monthly Average of S&P 500 Adjusted Close Prices

    Executive Summary

    This project explores the interconnected dynamics of key macroeconomic indicators and financial market trends over the past 50 years, leveraging data from the Federal Reserve Economic Data (FRED) and Yahoo Finance. The dataset integrates critical variables such as the Federal Funds Rate, Inflation (CPI), Real GDP, Unemployment Rate, Industrial Production, and the S&P 500 Index, providing a holistic view of the U.S. economy and financial markets.

    The analysis focuses on uncovering relationships between these variables through time-series visualization, correlation analysis, and trend decomposition. Key findings are included in the Insights section. This project serves as a robust resource for understanding long-term economic trends, policy impacts, and market behavior. It is particularly valuable for students, researchers, policymakers, and financial analysts seeking to connect macroeconomic theory with real-world data.

    Potential Use Cases

    • Economic Analysis: Examine relationships between interest rates, inflation, GDP, and unemployment.
    • Stock Market Prediction: Study how macroeconomic indicators influence stock market trends.
    • Time Series Modeling: Perform ARIMA, VAR, or other models to forecast economic trends.
    • Cyclic Pattern Analysis: Identify how economic shocks and recoveries impact key indicators.

    Snap of Power Analysis

    imagehttps://github.com/user-attachments/assets/1b40e0ca-7d2e-4fbc-8cfd-df3f09e4fdb8">

    To ensure sufficient power, the dataset covers last 50 years of monthly data i.e., around 600 entries.

    Key Insights derived through EDA, time-series visualization, correlation analysis, and trend decomposition

    • Interest Rate and Inflation Dynamics: The interest Rate and inflation exhibit an inverse relationship, especially during periods of aggressive monetary tightening by the Federal Reserve.
    • Economic Growth and Market Performance: GDP growth and the S&P 500 Index show a positive correlation, reflecting how market performance often aligns with overall economic health.
    • Labor Market and Industrial Output: Unemployment and industrial production demonstrate a strong inverse relationship. Higher industrial output is typically associated with lower unemployment
    • Market Behavior During Economic Shocks: The S&P 500 experienced sharp declines during significant crises, such as the 2008 financial crash and the COVID-19 pandemic in 2020. These events also triggered increased unemployment and contractions in GDP, highlighting the interplay between markets and the broader economy.
    • Correlation Highlights: S&P 500 and GDP have a strong positive correlation. Interest rates negatively correlate with GDP and inflation, reflecting monetary policy impacts. Unemployment is negatively correlated with industrial production but positively correlated with interest rates.

    Link to GitHub Repo

    https:/...

  5. Annual returns of Nasdaq 100 Index 1986-2024

    • statista.com
    Updated Mar 18, 2024
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    Statista (2024). Annual returns of Nasdaq 100 Index 1986-2024 [Dataset]. https://www.statista.com/statistics/1330833/nasdaq-100-index-annual-returns/
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    Dataset updated
    Mar 18, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The annual returns of the Nasdaq 100 Index from 1986 to 2024. fluctuated significantly throughout the period considered. The Nasdaq 100 index saw its lowest performance in 2008, with a return rate of ****** percent, while the largest returns were registered in 1999, at ****** percent. As of June 11, 2024, the rate of return of Nasdaq 100 Index stood at ** percent. The Nasdaq 100 is a stock market index comprised of the 100 largest and most actively traded non-financial companies listed on the Nasdaq stock exchange. How has the Nasdaq 100 evolved over years? The Nasdaq 100, which was previously heavily influenced by tech companies during the dot-com boom, has undergone significant diversification. Today, it represents a broader range of high-growth, non-financial companies across sectors like consumer services and healthcare, reflecting the evolving landscape of the global economy. The annual development of the Nasdaq 100 recently has generally been positive, except for 2022, when the NASDAQ experienced a decline due to worries about escalating inflation, interest rates, and regulatory challenges. What are the leading companies on Nasdaq 100? In August 2023, ***** was the largest company on the Nasdaq 100, with a market capitalization of **** trillion euros. Also, ****************************************** were among the five leading companies included in the index. Market capitalization is one of the most common ways of measuring how big a company is in the financial markets. It is calculated by multiplying the total number of outstanding shares by the current market price.

  6. d

    Rate of return and risk of german stock investments and annuity bonds 1870...

    • da-ra.de
    Updated 2009
    + more versions
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    Markus Marowietz (2009). Rate of return and risk of german stock investments and annuity bonds 1870 to 1992 [Dataset]. http://doi.org/10.4232/1.8384
    Explore at:
    Dataset updated
    2009
    Dataset provided by
    da|ra
    GESIS Data Archive
    Authors
    Markus Marowietz
    Time period covered
    1870 - 1992
    Description

    Sources:

    German Central Bank (ed.), 1975: Deutsches Geld- und Bankwesen in Zahlen 1876 – 1975. (German monetary system and banking system in numbers 1876 – 1975) German Central Bank (ed.), different years: monthly reports of the German Central Bank, statistical part, interest rates German Central Bank (ed.), different years: Supplementary statistical booklets for the monthly reports of the German Central Bank 1959 – 1992, security statistics Reich Statistical Office (ed.), different years: Statistical yearbook of the German empire Statistical Office (ed.), 1985: Geld und Kredit. Index der Aktienkurse (Money and Credit. Index of share prices) – Lange Reihe; Fachserie 9, Reihe 2. Statistical Office (ed.), 1987: Entwicklung der Nahrungsmittelpreise von 1800 – 1880 in Deutschland. (Development of food prices in Germany 1800 – 1880) Statistical Office (ed.), 1987: Entwicklung der Verbraucherpreise (Development of consumer prices) seit 1881 in Deutschland. (Development of consumer prices since 1881 in Germany) Statistical Office (ed.), different years: Fachserie 17, Reihe 7, Preisindex für die Lebenshaltung (price index for costs of living) Donner, 1934: Kursbildung am Aktienmarkt; Grundlagen zur Konjunkturbeobachtung an den Effektenmärkten. (Prices on the stock market; groundwork for observation of economic cycles on the stock market) Homburger, 1905: Die Entwicklung des Zinsfusses in Deutschland von 1870 – 1903. (Development of the interest flow in Germany, 1870 – 1903) Voye, 1902: Über die Höhe der verschiedenen Zinsarten und ihre wechselseitige Abhängigkeit.(On the values of different types of interests and their interdependence).

  7. T

    Warsaw Stock Exchange WIG Index Data

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +14more
    csv, excel, json, xml
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    TRADING ECONOMICS, Warsaw Stock Exchange WIG Index Data [Dataset]. https://tradingeconomics.com/poland/stock-market
    Explore at:
    xml, excel, csv, 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
    Apr 16, 1991 - Dec 2, 2025
    Area covered
    Poland
    Description

    Poland's main stock market index, the WIG, fell to 110618 points on December 2, 2025, losing 1.16% from the previous session. Over the past month, the index has declined 1.29%, though it remains 36.78% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Poland. Warsaw Stock Exchange WIG Index - values, historical data, forecasts and news - updated on December of 2025.

  8. y

    S&P 500 Shiller CAPE Ratio

    • ycharts.com
    html
    Updated Nov 11, 2025
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    Robert Shiller (2025). S&P 500 Shiller CAPE Ratio [Dataset]. https://ycharts.com/indicators/cyclically_adjusted_pe_ratio
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Nov 11, 2025
    Dataset provided by
    YCharts
    Authors
    Robert Shiller
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jan 31, 1881 - Nov 30, 2025
    Area covered
    United States
    Variables measured
    S&P 500 Shiller CAPE Ratio
    Description

    View monthly updates and historical trends for S&P 500 Shiller CAPE Ratio. from United States. Source: Robert Shiller. Track economic data with YCharts an…

  9. Tesla Stock Dataset 2025

    • kaggle.com
    zip
    Updated Jan 6, 2025
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    Sameer Ramzan (2025). Tesla Stock Dataset 2025 [Dataset]. https://www.kaggle.com/datasets/sameerramzan/tesla-stock-dataset-2025
    Explore at:
    zip(95419 bytes)Available download formats
    Dataset updated
    Jan 6, 2025
    Authors
    Sameer Ramzan
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset contains historical stock price data for Tesla, Inc. (TSLA) starting from its IPO date, June 29, 2010, to January 1, 2025. The dataset includes daily records of Tesla's stock performance on the NASDAQ stock exchange. It is ideal for time-series analysis, stock price prediction, and understanding the long-term performance of Tesla in the stock market.

    The dataset consists of the following columns:

    1. Date: The trading date.
    2. Open: Opening stock price on the given date.
    3. High: The highest stock price during the trading day.
    4. Low: The lowest stock price during the trading day.
    5. Close: The closing stock price for the day.
    6. Adj Close: Adjusted closing price (corrected for dividends and stock splits).
    7. Volume: The number of shares traded during the day.

    Use Cases of Tesla Stock Historical Data

    1. Time-Series Analysis

      • Analyze trends in Tesla's stock prices over time.
      • Identify seasonality, volatility, and long-term patterns in Tesla’s performance.
    2. Stock Price Prediction

      • Develop predictive models to forecast future stock prices using techniques such as ARIMA, LSTMs, or regression.
    3. Investment Strategy Evaluation

      • Backtest trading strategies by simulating trades based on historical price movements.
      • Analyze returns of investment strategies such as moving averages, RSI, or Bollinger Bands.
    4. Market Sentiment Analysis

      • Correlate Tesla’s stock performance with news sentiment, earnings reports, and market events.
    5. Portfolio Diversification

      • Evaluate Tesla’s performance compared to other stocks or indices to assess its role in a diversified portfolio.
    6. Risk Management

      • Calculate volatility, beta, and other risk metrics to assess the risk associated with investing in Tesla stock.
    7. Economic and Market Studies

      • Study how macroeconomic indicators (like inflation, interest rates) influence Tesla’s stock price.
      • Analyze Tesla’s performance during major economic events such as the COVID-19 pandemic or policy changes.
    8. Stock Splits and Adjustments Analysis

      • Examine the impact of Tesla’s stock splits on price and trading volume.
    9. Educational Purposes

      • Serve as a dataset for academic projects, coursework, or tutorials on financial data analysis.
    10. Correlation with Sector Trends

      • Compare Tesla’s stock performance with other automotive or renewable energy companies.
    11. Data Visualization and Dashboarding

      • Create dashboards using tools like Tableau, Power BI, or Python libraries to visualize Tesla’s stock performance metrics.
    12. A/B Testing for Financial Applications

      • Use historical stock data for controlled experiments in finance-related applications to improve decision-making tools.
  10. Dow Jones: average and yearly closing prices 1915-2021

    • statista.com
    Updated Jun 27, 2022
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    Statista (2022). Dow Jones: average and yearly closing prices 1915-2021 [Dataset]. https://www.statista.com/statistics/1316908/dow-jones-average-and-yearly-closing-prices-historical/
    Explore at:
    Dataset updated
    Jun 27, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The Dow Jones Industrial Average is (DJIA) is possibly the most well-known and commonly used stock index in the United States. It is a price-weighted index that assesses the stock prices of 30 prominent companies, whose combined prices are then divided by a regularly-updated divisor (0.15199 in February 2021), which gives the index value. The companies included are rotated in and out on a regular basis; as of mid-2022, the longest mainstay on the list is Procter & Gamble, which was added in 1932; whereas Amgen, Salesforce, and Honeywell were all added in 2020. As one of the oldest indices for stock market analysis, the impact of major events, recessions, and economic shocks or booms can be tracked and contextualized over longer periods of time.

    Due to inflation, unadjusted figures appear to be more sporadic in recent years, however the greatest fluctuations came in the earliest years of the index. In the given period, the greatest decline came in the wake of the Wall Street Crash in 1929; by 1932 average values had fallen to just one fifth of their 1929 average, from roughly 314 to 65.

  11. T

    Turkey Inflation Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 3, 2025
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    TRADING ECONOMICS (2025). Turkey Inflation Rate [Dataset]. https://tradingeconomics.com/turkey/inflation-cpi
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Sep 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
    Jan 31, 1965 - Oct 31, 2025
    Area covered
    Türkiye
    Description

    Inflation Rate in Turkey decreased to 32.87 percent in October from 33.29 percent in September of 2025. This dataset provides the latest reported value for - Turkey Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  12. T

    Turkey Stock Market Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 24, 2025
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    TRADING ECONOMICS (2025). Turkey Stock Market Data [Dataset]. https://tradingeconomics.com/turkey/stock-market
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset updated
    Oct 24, 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
    Jan 2, 1988 - Dec 2, 2025
    Area covered
    Türkiye
    Description

    Turkey's main stock market index, the BIST 100, rose to 11132 points on December 2, 2025, gaining 0.14% from the previous session. Over the past month, the index has climbed 0.64% and is up 13.27% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Turkey. Turkey Stock Market - values, historical data, forecasts and news - updated on December of 2025.

  13. F

    Producer Price Index by Industry: Investment Banking and Securities...

    • fred.stlouisfed.org
    json
    Updated Sep 10, 2025
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    (2025). Producer Price Index by Industry: Investment Banking and Securities Intermediation: Brokerage Services, Equities and ETFs [Dataset]. https://fred.stlouisfed.org/series/PCU523120523120101
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 10, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Producer Price Index by Industry: Investment Banking and Securities Intermediation: Brokerage Services, Equities and ETFs (PCU523120523120101) from Dec 1999 to Aug 2025 about ETF, brokers, stocks, equity, stock market, securities, services, PPI, industry, inflation, price index, indexes, price, and USA.

  14. Annual development DAX Index 1996-2024

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Annual development DAX Index 1996-2024 [Dataset]. https://www.statista.com/statistics/274216/annual-dax-trends-since-1987/
    Explore at:
    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    The DAX is a stock market index composed of the ** major German blue chip companies trading on the Frankfurt Stock Exchange. At the close of 2024, the DAX (Deutscher Aktienindex) closed at ********* points. This was the highest closing value of the observed period.What is the DAX index? The DAX is the most important stock index in Germany. It was introduced on July 1, 1988 and is a continuation of the Börsen-Zeitung Index, established in 1959. The DAX index is comprised of ** largest and most liquid German companies such as Deutsche Bank, Allianz or Bayer. These companies are traded on the Frankfurt Stock Exchange, which is the oldest exchange worldwide. The index can be viewed as a snapshot of the investment climate in Germany. What is not included in the DAX? Most notably, the DAX, like most indices, is not adjusted for inflation. While inflation has been relatively low in recent years, it might be useful to adjust the historic figures on the index when comparing historic data to current levels. This is particularly important for years when the index appears to increase by a few percentage points, because inflation may have increased at a more rapid rate than the stock prices.

  15. Coca Cola Stock - Live and Updated

    • kaggle.com
    zip
    Updated Nov 20, 2025
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    Kalilur Rahman (2025). Coca Cola Stock - Live and Updated [Dataset]. https://www.kaggle.com/kalilurrahman/coca-cola-stock-live-and-updated
    Explore at:
    zip(358341 bytes)Available download formats
    Dataset updated
    Nov 20, 2025
    Authors
    Kalilur Rahman
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    https://upload.wikimedia.org/wikipedia/commons/thumb/0/09/The_Coca-Cola_Company_%282020%29.svg/330px-The_Coca-Cola_Company_%282020%29.svg.png" alt=""> https://upload.wikimedia.org/wikipedia/commons/f/f6/15-09-26-RalfR-WLC-0098.jpg" alt="">

    https://upload.wikimedia.org/wikipedia/commons/thumb/5/5e/The_Coca-Cola_Company_logo.svg/330px-The_Coca-Cola_Company_logo.svg.png" alt="">

    The Coca-Cola Company is an North American multinational beverage corporation incorporated under Delaware's General Corporation Law[a] and headquartered in Atlanta, Georgia. The Coca-Cola Company has interests in the manufacturing, retailing, and marketing of non-alcoholic beverage concentrates and syrups, and alcoholic beverages. The company produces Coca-Cola, the sugary drink for which it is best known for, invented in 1886 by pharmacist John Stith Pemberton. At the time, the product was made with coca leaves, which added an amount of cocaine to the drink, and with kola nuts, which added caffeine, so that the coca and the kola together provided a stimulative effect. This stimulative effect is the reason the drink was sold to the public as a healthy "tonic", and the coca and the kola are also the source of the name of the product and of the company.In 1889, the formula and brand were sold for $2,300 (roughly $68,000 in 2021) to Asa Griggs Candler, who incorporated The Coca-Cola Company in Atlanta in 1892.

    Since 1919, Coca-Cola has been a publicly traded company. Its stock is listed on the New York Stock Exchange under the ticker symbol "KO". One share of stock purchased in 1919 for $40, with all dividends reinvested, would have been worth $9.8 million in 2012, a 10.7% annual increase adjusted for inflation. A predecessor bank of SunTrust received $100,000 for underwriting Coca-Cola's 1919 public offering; the bank sold that stock for over $2 billion in 2012. In 1987, Coca-Cola once again became one of the 30 stocks which makes up the Dow Jones Industrial Average, which is commonly referenced as a proxy for stock market performance; it had previously been a Dow stock from 1932 to 1935. Coca-Cola has paid a dividend since 1920 and, as of 2019, had increased it each year for 57 years straight.

  16. Suicides as a response to adverse market sentiment (1980-2016)

    • plos.figshare.com
    docx
    Updated May 31, 2023
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    Pankaj Agrrawal; Doug Waggle; Daniel H. Sandweiss (2023). Suicides as a response to adverse market sentiment (1980-2016) [Dataset]. http://doi.org/10.1371/journal.pone.0186913
    Explore at:
    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Pankaj Agrrawal; Doug Waggle; Daniel H. Sandweiss
    License

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

    Description

    Financial crises inflict significant human as well as economic hardship. This paper focuses on the human fallout of capital market stress. Financial stress-induced behavioral changes can manifest in higher suicide and murder-suicide rates. We find that these rates also correlate with the Gross Domestic Product (GDP) growth rate (negatively associated; a -0.25% drop [in the rate of change in annual suicides for a +1% change in the independent variable]), unemployment rate (positive link; 0.298% increase), inflation rate (positive link; 0.169% increase in suicide rate levels) and stock market returns adjusted for the risk-free T-Bill rate (negative link; -0.047% drop). Suicides tend to rise during periods of economic turmoil, such as the recent Great Recession of 2008. An analysis of Centers for Disease Control and Prevention (CDC) data of more than 2 million non-natural deaths in the US since 1980 reveals a positive correlation with unemployment levels. We find that suicides and murder-suicides associated with adverse market sentiment lag the initial stressor by up to two years, thus opening a policy window for government/public health intervention to reduce these negative outcomes. Both our models explain about 73 to 76% of the variance in suicide rates and rate of change in suicide rates, and deploy a total of four widely available independent variables (lagged and/or transformed). The results are invariant to the inclusion/exclusion of 2008 data over the 1980–2016 time series, the period of our study. The disconnect between rational decision making, induced by cognitive dissonance and severe financial stress can lead to suboptimal outcomes, not only in the area of investing, but in a direct loss of human capital. No economic system can afford such losses. Finance journal articles focus on monetary alpha, which is the return on a portfolio in excess of the benchmark; we think it is important to be aware of the loss of human capital as a consequence of market instability. This study makes one such an attempt.

  17. Argentina Stock Market Forecast Dataset

    • focus-economics.com
    html
    Updated Oct 22, 2025
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    FocusEconomics (2025). Argentina Stock Market Forecast Dataset [Dataset]. https://www.focus-economics.com/country-indicator/argentina/stock-market/
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Oct 22, 2025
    Dataset authored and provided by
    FocusEconomics
    License

    https://www.focus-economics.com/terms-and-conditions/https://www.focus-economics.com/terms-and-conditions/

    Time period covered
    2014 - 2024
    Area covered
    Argentina
    Variables measured
    forecast, argentina_stock_market
    Description

    Monthly and long-term Argentina Stock Market data: historical series and analyst forecasts curated by FocusEconomics.

  18. T

    Japan Stock Market Index (JP225) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). Japan Stock Market Index (JP225) Data [Dataset]. https://tradingeconomics.com/japan/stock-market
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Dec 2, 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
    Jan 5, 1965 - Dec 2, 2025
    Area covered
    Japan
    Description

    Japan's main stock market index, the JP225, rose to 49553 points on December 2, 2025, gaining 0.51% from the previous session. Over the past month, the index has declined 3.78%, though it remains 26.25% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on December of 2025.

  19. Largest companies on FTSE 100 index 2024, by market cap

    • statista.com
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    Statista, Largest companies on FTSE 100 index 2024, by market cap [Dataset]. https://www.statista.com/statistics/1405426/largest-companies-on-ftse-100-index/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 12, 2024
    Area covered
    United Kingdom
    Description

    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.

  20. T

    Venezuela Stock Market (IBVC) Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 25, 2003
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    TRADING ECONOMICS (2003). Venezuela Stock Market (IBVC) Data [Dataset]. https://tradingeconomics.com/venezuela/stock-market
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    Aug 25, 2003
    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 25, 2017 - Dec 2, 2025
    Area covered
    Venezuela
    Description

    Venezuela's main stock market index, the IBC, rose to 1554 points on December 2, 2025, gaining 0.15% from the previous session. Over the past month, the index has declined 2.61%, though it remains 1,361.02% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Venezuela. Venezuela Stock Market (IBVC) - values, historical data, forecasts and news - updated on December of 2025.

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(2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500

S&P 500

SP500

Explore at:
83 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Dec 1, 2025
License

https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

Description

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

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