100+ datasets found
  1. b

    Financial Datasets

    • brightdata.com
    .json, .csv, .xlsx
    Updated Dec 5, 2023
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    Bright Data (2023). Financial Datasets [Dataset]. https://brightdata.com/products/datasets/news/financial
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Dec 5, 2023
    Dataset authored and provided by
    Bright Data
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Stay informed with our comprehensive Financial News Dataset, designed for investors, analysts, and businesses to track market trends, monitor financial events, and make data-driven decisions.

    Dataset Features

    Financial News Articles: Access structured financial news data, including headlines, summaries, full articles, publication dates, and source details. Market & Economic Indicators: Track financial reports, stock market updates, economic forecasts, and corporate earnings announcements. Sentiment & Trend Analysis: Analyze news sentiment, categorize articles by financial topics, and monitor emerging trends in global markets. Historical & Real-Time Data: Retrieve historical financial news archives or access continuously updated feeds for real-time insights.

    Customizable Subsets for Specific Needs Our Financial News Dataset is fully customizable, allowing you to filter data based on publication date, region, financial topics, sentiment, or specific news sources. Whether you need broad coverage for market research or focused data for investment analysis, we tailor the dataset to your needs.

    Popular Use Cases

    Investment Strategy & Risk Management: Monitor financial news to assess market risks, identify investment opportunities, and optimize trading strategies. Market & Competitive Intelligence: Track industry trends, competitor financial performance, and economic developments. AI & Machine Learning Training: Use structured financial news data to train AI models for sentiment analysis, stock prediction, and automated trading. Regulatory & Compliance Monitoring: Stay updated on financial regulations, policy changes, and corporate governance news. Economic Research & Forecasting: Analyze financial news trends to predict economic shifts and market movements.

    Whether you're tracking stock market trends, analyzing financial sentiment, or training AI models, our Financial News Dataset provides the structured data you need. Get started today and customize your dataset to fit your business objectives.

  2. G

    Financial News Sentiment Streams

    • gomask.ai
    csv, json
    Updated Jul 21, 2025
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    GoMask.ai (2025). Financial News Sentiment Streams [Dataset]. https://gomask.ai/marketplace/datasets/financial-news-sentiment-streams
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    json, csv(10 MB)Available download formats
    Dataset updated
    Jul 21, 2025
    Dataset provided by
    GoMask.ai
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2024 - 2025
    Area covered
    Global
    Variables measured
    language, event_type, source_url, headline_id, source_name, headline_text, market_sector, ticker_symbol, relevance_score, sentiment_label, and 3 more
    Description

    This dataset aggregates real-time sentiment scores and metadata for financial news headlines, enabling rapid detection of market-moving events and trends. It includes headline text, publication details, sentiment analysis, relevance to financial markets, and links to affected stocks and sectors. Ideal for quantitative trading, risk monitoring, and financial news analytics.

  3. AI Financial Market Data

    • kaggle.com
    Updated Aug 6, 2025
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    Data Science Lovers (2025). AI Financial Market Data [Dataset]. https://www.kaggle.com/datasets/rohitgrewal/ai-financial-and-market-data
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 6, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Data Science Lovers
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Description

    📹Project Video available on YouTube - https://youtu.be/WmJYHz_qn5s

    Realistic Synthetic - AI Financial & Market Data for Gemini(Google), ChatGPT(OpenAI), Llama(Meta)

    This dataset provides a synthetic, daily record of financial market activities related to companies involved in Artificial Intelligence (AI). There are key financial metrics and events that could influence a company's stock performance like launch of Llama by Meta, launch of GPT by OpenAI, launch of Gemini by Google etc. Here, we have the data about how much amount the companies are spending on R & D of their AI's Products & Services, and how much revenue these companies are generating. The data is from January 1, 2015, to December 31, 2024, and includes information for various companies : OpenAI, Google and Meta.

    This data is available as a CSV file. We are going to analyze this data set using the Pandas DataFrame.

    This analyse will be helpful for those working in Finance or Share Market domain.

    From this dataset, we extract various insights using Python in our Project.

    1) How much amount the companies spent on R & D ?

    2) Revenue Earned by the companies

    3) Date-wise Impact on the Stock

    4) Events when Maximum Stock Impact was observed

    5) AI Revenue Growth of the companies

    6) Correlation between the columns

    7) Expenditure vs Revenue year-by-year

    8) Event Impact Analysis

    9) Change in the index wrt Year & Company

    These are the main Features/Columns available in the dataset :

    1) Date: This column indicates the specific calendar day for which the financial and AI-related data is recorded. It allows for time-series analysis of the trends and impacts.

    2) Company: This column specifies the name of the company to which the data in that particular row belongs. Examples include "OpenAI" and "Meta".

    3) R&D_Spending_USD_Mn: This column represents the Research and Development (R&D) spending of the company, measured in Millions of USD. It serves as an indicator of a company's investment in innovation and future growth, particularly in the AI sector.

    4) AI_Revenue_USD_Mn: This column denotes the revenue generated specifically from AI-related products or services, also measured in Millions of USD. This metric highlights the direct financial success derived from AI initiatives.

    5) AI_Revenue_Growth_%: This column shows the percentage growth of AI-related revenue for the company on a daily basis. It indicates the pace at which a company's AI business is expanding or contracting.

    6) Event: This column captures any significant events or announcements made by the company that could potentially influence its financial performance or market perception. Examples include "Cloud AI launch," "AI partnership deal," "AI ethics policy update," and "AI speech recognition release." These events are crucial for understanding sudden shifts in stock impact.

    7) Stock_Impact_%: This column quantifies the percentage change in the company's stock price on a given day, likely in response to the recorded financial metrics or events. It serves as a direct measure of market reaction.

  4. Main financial challenges in the global business event industry September...

    • tokrwards.com
    • statista.com
    Updated Jan 10, 2024
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    Ana M. López (2024). Main financial challenges in the global business event industry September 2021 [Dataset]. https://tokrwards.com/?_=%2Ftopics%2F8420%2Fdigitalization-of-the-meetings-industry%2F%23D%2FIbH0PhabzN99vNwgDeng71Gw4euCn%2B
    Explore at:
    Dataset updated
    Jan 10, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Ana M. López
    Description

    According to a September 2021 survey, the main financial challenges among business event planners and suppliers worldwide were budgeting issues. Around 32 percent of respondents considered the hybrid events' pricing as the most challenging financial problem. Meanwhile, 30 percent of the survey sample indicated budgeting in terms of face-to-face attendance expectations as the most problematic issue.

  5. Company Events Coverage

    • lseg.com
    Updated Feb 27, 2025
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    LSEG (2025). Company Events Coverage [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/company-data/company-events-coverage-data
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    csv,html,json,pdf,python,sql,text,user interface,xml,zip archiveAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

    https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

    Description

    Browse LSEG's Events , discover our range of data, indices & benchmarks. Our Data Catalogue offers unrivalled data and delivery mechanisms.

  6. d

    Live Briefs INVESTOR US - US Financial Markets News

    • datarade.ai
    Updated Feb 17, 2024
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    MT Newswires (2024). Live Briefs INVESTOR US - US Financial Markets News [Dataset]. https://datarade.ai/data-products/live-briefs-investor-us-us-financial-markets-news-mt-newswires
    Explore at:
    Dataset updated
    Feb 17, 2024
    Dataset authored and provided by
    MT Newswires
    Area covered
    United States
    Description

    Live Briefs Investor – US Covering thousands of listed securities and events across 80 news categories, Live Briefs Investor US is specifically designed to keep individual investors and active traders on top of breaking news that is likely to affect their portfolios.

    Most of the largest and most respected retail and self-directed brokerage firms in the North America rely on MT Newswires to provide their clients with complete coverage of the financial markets. The Investor service includes timely and insightful commentary on equities, commodities, ETFs, economics, forex, options and fixed income assets throughout the day (6:30 am to 6:30 pm EST).

    Every story is ticker-tagged and category-coded to allow for seamless platform integration. US Equities – significant events affecting individual public companies in the US: After-hours and pre-market news, trading activity and technical price level indications; Earnings estimate change alerts; Analyst Rating Changes- the most comprehensive view and coverage of rating changes available anywhere; ETF Power Play – daily trends in ETF trading activity; Mini and detailed sector summaries – pre-market, mid-day, and closing; Market Chatter – real-time coverage of trading desk rumors and breaking news; Zero noise: Only premium, original news and event analysis. Never any fillers (press releases, non-market related news, etc.).

  7. d

    Economic Data | Global Economic Indicator Service | 34k macro-economic...

    • datarade.ai
    .csv, .xls, .txt
    Updated Feb 19, 2021
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    Exchange Data International (2021). Economic Data | Global Economic Indicator Service | 34k macro-economic indicators | updated 24/5 [Dataset]. https://datarade.ai/data-products/economic-indicator-service-exchange-data-international
    Explore at:
    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Feb 19, 2021
    Dataset authored and provided by
    Exchange Data International
    Area covered
    Cuba, Eritrea, Mali, Morocco, Gabon, United States of America, Nigeria, Malawi, Qatar, Equatorial Guinea
    Description

    The Economic Indicator Service (EIS) aims to deliver economic content to financial institutions on both buy and sell-side and service providers. This new service currently covers 34,351 recurring macro-economic indicators from 135 countries ( as of December 16, 2019 ) such as GDP data, unemployment releases, PMI numbers etc.

    Economic Indicator Service gathers the major economic events from a variety of regions and countries around the globe and provides an Economic Events Data feed and Economic Calendar service to our clients. This service includes all previous historic data on economic indicators that are currently available on the database.

    Depending on availability, information regarding economic indicators, including the details of the issuing agency as well as historical data series can be made accessible for the client. Key information about EIS: • Cloud-based service for Live Calendar – delivered via HTML/JavaScript application formats, which can then be embedded onto any website using iFrames • Alternatives methods available – such as API and JSON feed for the economic calendar that can be integrated into the company’s system • Live data – updated 24/5, immediately after the data has been released • Historical data – includes a feed of all previous economic indicators available We are currently adding additional indicators/countries from Africa as well as expanding our coverage of Indicators in G20. The calendar includes the following. • Recurring & Non-recurring indicators covering 136 countries across 21 regions. • Indicators showing high, medium, and low impact data. • Indicators showing actual, previous, and forecast data. • Indicators can be filtered across 16 subtypes. • News generation for selected high-impact data. • Indicator description and historical data up to the latest eight historical points with a chart.

  8. p

    Economic Events Calendar

    • peaknewsdaily.com
    Updated Sep 18, 2025
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    (2025). Economic Events Calendar [Dataset]. https://www.peaknewsdaily.com/markets/calendar
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    Dataset updated
    Sep 18, 2025
    Description

    Live economic events and market data

  9. S

    Chinese Financial Announcements

    • scidb.cn
    Updated Dec 12, 2024
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    li ze long (2024). Chinese Financial Announcements [Dataset]. http://doi.org/10.57760/sciencedb.j00133.00414
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 12, 2024
    Dataset provided by
    Science Data Bank
    Authors
    li ze long
    License

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

    Description

    The ChFinAnn dataset is a publicly available financial event dataset that includes five types of financial events: Equity Freeze, Equity Pledge, Equity Repurchase, Equity Overweight, and Equity Underweight. This dataset consists of 32040 samples and 48000 event records, of which approximately 29% of the documents contain more than one record. In addition, 98% of the records have arguments scattered across different sentences, which poses additional challenges for event extraction. This dataset was built to support document level event extraction asks, particularly in the financial field. It is not only large in scale, but also has the characteristics of multi event recording and argument dispersion, which make it a valuable resource for researching document level event extraction.

  10. DocFEE: A Document-Level Chinese Financial Event Extraction Dataset

    • figshare.com
    json
    Updated Mar 31, 2025
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    Yubo Chen; Tong Zhou; Sirui Li; Jun Zhao (2025). DocFEE: A Document-Level Chinese Financial Event Extraction Dataset [Dataset]. http://doi.org/10.6084/m9.figshare.28632464.v3
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 31, 2025
    Dataset provided by
    figshare
    Authors
    Yubo Chen; Tong Zhou; Sirui Li; Jun Zhao
    License

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

    Description

    DocFEE: A Document-Level Chinese Financial Event Extraction DatasetDocFEE is a large-scale, document-level dataset designed for financial event extraction in Chinese. It contains ​19,044 annotated documents spanning nine critical financial event types, including Bankruptcy Liquidation, Major Safety Incident, Equity Pledge, and Senior Executive Death, among others. Each document is annotated with ​38 distinct argument types to capture intricate event details, such as dates, amounts, stakeholders, and contextual impacts.The dataset addresses the challenges of document-level event extraction, where events and their arguments may span multiple sentences or exhibit cross-sentence dependencies. On average, documents contain ​1.86 events with a broad event range (960.06 characters) and a median document length of 2,277.25 characters, reflecting real-world complexity. Key features include fine-grained annotations for diverse financial scenarios, such as tracking shareholder reductions (Reduction Start Date, Shareholder, Reduction Amount) or quantifying losses in Major Asset Loss events (Loss Amount, Other Losses).DocFEE supports research in financial NLP, regulatory compliance, and risk analysis by providing robust, structured data for modeling cross-sentence event relations and argument extraction in long-form texts. Its comprehensive annotations and domain specificity make it a valuable resource for advancing document-level understanding in Chinese financial contexts.Please refer to README.pdf for detailed description.

  11. c

    Structure Change Events

    • s.cnmilf.com
    • catalog.data.gov
    Updated Dec 19, 2020
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    Division of Insurance and Research (2020). Structure Change Events [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/financial-institutions-83c25
    Explore at:
    Dataset updated
    Dec 19, 2020
    Dataset provided by
    Division of Insurance and Research
    Description

    This dataset provides a listing of Structure Change Events.

  12. Number of hosted Islamic finance conferences worldwide 2019, by country

    • statista.com
    Updated Jul 18, 2025
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    Statista (2025). Number of hosted Islamic finance conferences worldwide 2019, by country [Dataset]. https://www.statista.com/statistics/1092537/worldwide-number-of-hosted-islamic-finance-conferences-by-country/
    Explore at:
    Dataset updated
    Jul 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Worldwide
    Description

    In 2019, ** Islamic finance conferences were hosted by Malaysia. In the same year, there were *** events which consist of *** conferences and *** seminars. These events were part of the Islamic finance awareness campaign.

  13. Negative events affecting the company's financial security in Poland in 2025...

    • statista.com
    Updated Sep 17, 2025
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    Statista (2025). Negative events affecting the company's financial security in Poland in 2025 [Dataset]. https://www.statista.com/statistics/1623622/poland-negative-events-affecting-the-company-s-financials/
    Explore at:
    Dataset updated
    Sep 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025 - Mar 2025
    Area covered
    Poland
    Description

    Geopolitical instability was the greatest risk affecting the financial security of companies in Poland over the next 12 months, as indicated by nearly ***** out of 10 entrepreneurs in 2025.

  14. D

    Before The Event Bte Insurance Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 16, 2024
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    Dataintelo (2024). Before The Event Bte Insurance Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/before-the-event-bte-insurance-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Before The Event (BTE) Insurance Market Outlook



    The global market size for Before The Event (BTE) Insurance was valued at approximately USD 3.8 billion in 2023 and is projected to reach around USD 6.9 billion by 2032, growing at a CAGR of 6.7% during the forecast period. The growth of this market is significantly driven by an increasing awareness of risk management and the rising number of events being organized worldwide. As businesses and individuals seek to mitigate potential financial losses due to unforeseen circumstances, the demand for BTE insurance is experiencing robust growth.



    One of the primary growth factors for the BTE Insurance market is the escalating threat of event cancellations and liabilities. Factors such as unpredictable weather conditions, political unrest, and health emergencies like pandemics have heightened the need for comprehensive insurance coverage to protect against financial losses. Event organizers and businesses are increasingly recognizing the importance of being prepared for such eventualities, which is driving the demand for various forms of BTE insurance such as event cancellation insurance and liability insurance.



    Moreover, the proliferation of corporate events, personal celebrations, sports events, and entertainment shows has also fueled the market. Companies are now more than ever investing in large-scale events for marketing and networking purposes, while individuals are spending significantly on weddings, concerts, and other personal events. The financial stakes involved in these events are high, and BTE insurance offers a safety net that ensures peace of mind for organizers and participants alike. This has contributed to the market's robust expansion.



    Technological advancements and the rise of online platforms have added another dimension to the market's growth. Digitalization has made it easier for consumers to access insurance products and compare various plans, thereby enhancing market penetration. Online platforms and digital brokers have democratized the access to BTE insurance, making it more convenient for both individuals and businesses to purchase policies tailored to their specific needs. The ease of doing business online is a significant factor driving market growth.



    From a regional perspective, North America and Europe hold the largest market shares due to the high frequency of large-scale events and extensive awareness regarding the benefits of BTE insurance. However, the market in regions like Asia Pacific and Latin America is also witnessing rapid growth, driven by economic development and increasing disposable incomes. As these regions continue to host more international events, the demand for BTE insurance is expected to rise accordingly.



    Coverage Type Analysis



    The BTE Insurance market can be segmented by coverage type into Legal Expense Insurance, Event Cancellation Insurance, Liability Insurance, and Others. Each of these coverage types serves a specific purpose and addresses different aspects of risk management, contributing to the overall robustness of the market.



    Legal Expense Insurance is gaining prominence as legal disputes and litigation become more common in today's complex business environment. This insurance type covers the legal costs associated with various types of disputes, providing financial support and peace of mind to policyholders. Businesses and event organizers are increasingly opting for this coverage to protect against the high costs of legal proceedings, which can be financially draining.



    Event Cancellation Insurance is perhaps the most sought-after coverage type, especially in light of recent global events such as the COVID-19 pandemic. This insurance covers financial losses resulting from the cancellation or postponement of events due to unforeseen circumstances such as natural disasters, health emergencies, or even terrorism. As the unpredictability of such events increases, so does the demand for this type of insurance.



    Liability Insurance is another critical coverage type, providing protection against claims arising from injuries or damages that occur during an event. This type of insurance is essential for event organizers to mitigate the risks associated with large gatherings. With the rise in the number of public events and increasing awareness of potential liabilities, the market for Liability Insurance is expected to grow significantly.



    The "Others" category includes various niche insurance products tailored to specific ne

  15. D

    Event Streaming For Financial Services Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Event Streaming For Financial Services Market Research Report 2033 [Dataset]. https://dataintelo.com/report/event-streaming-for-financial-services-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Event Streaming for Financial Services Market Outlook



    According to our latest research, the global event streaming for financial services market size reached USD 1.82 billion in 2024, propelled by a robust demand for real-time data processing and analytics in the financial sector. The market is expanding at a healthy CAGR of 17.3% and is projected to attain USD 8.21 billion by 2033. This growth is primarily fueled by the increasing adoption of cloud-based event streaming solutions, the proliferation of digital payment systems, and the rising need for fraud detection and regulatory compliance in an ever-evolving financial landscape.




    One of the primary growth factors driving the event streaming for financial services market is the exponential increase in digital transactions and the corresponding demand for real-time data analytics. Financial institutions are increasingly leveraging event streaming platforms to monitor, process, and analyze transaction data instantaneously, enabling them to detect fraudulent activities, ensure compliance, and optimize customer experiences. The shift towards digital banking and online financial services has significantly increased the volume and velocity of data, necessitating robust event streaming solutions capable of handling complex data streams with minimal latency. Additionally, the integration of artificial intelligence and machine learning with event streaming platforms is enhancing predictive analytics capabilities, further solidifying the market’s growth trajectory.




    Another significant growth driver is the regulatory environment, which is becoming increasingly stringent across global financial markets. Regulatory bodies are imposing more comprehensive reporting, monitoring, and compliance requirements on financial institutions. Event streaming solutions offer real-time visibility into transactional data, enabling institutions to respond rapidly to compliance issues and regulatory changes. This is particularly relevant for anti-money laundering (AML) and know-your-customer (KYC) regulations, where immediate data analysis is crucial. As financial regulations continue to evolve, the demand for advanced event streaming solutions that can automate compliance processes and provide auditable data trails is expected to surge.




    Furthermore, the rapid evolution of financial technology (FinTech) is creating new opportunities for event streaming solutions. FinTech companies are pioneering innovative financial products and services that rely heavily on real-time data processing, such as peer-to-peer payments, digital wallets, and algorithmic trading platforms. These innovations require seamless data integration and instant analytics, which event streaming platforms are uniquely positioned to provide. The collaboration between traditional financial institutions and FinTech firms is also fostering the adoption of event streaming technologies, as legacy systems are modernized to meet the demands of the digital era. This trend is expected to continue, driving sustained growth in the market.




    Regionally, North America remains the dominant market for event streaming in financial services, accounting for the largest revenue share in 2024. The region’s leadership is underpinned by the presence of major financial institutions, a mature digital infrastructure, and early adoption of advanced analytics technologies. Europe and Asia Pacific are also witnessing significant growth, driven by digital transformation initiatives and increasing investments in financial technology. In particular, Asia Pacific is emerging as a high-growth region, supported by the rapid expansion of digital banking and payment ecosystems in countries such as China, India, and Singapore. As financial services continue to evolve globally, regional dynamics will play a crucial role in shaping the future of the event streaming market.



    Component Analysis



    The component segment of the event streaming for financial services market is categorized into software, hardware, and services. Software remains the largest contributor to market revenue, as financial institutions prioritize scalable, flexible, and robust event streaming platforms to support their digital transformation initiatives. Event streaming software solutions offer advanced features such as real-time analytics, data integration, and workflow automation, which are essential for managing high-velocity financial data. The rising demand for cloud-native event strea

  16. f

    KG_8.4_Template.xlsx (Kliger Gurevich Chapter 8.4 Template)

    • palgrave.figshare.com
    xlsx
    Updated Jun 3, 2023
    + more versions
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    Gregory Gurevich; Doron Kliger (2023). KG_8.4_Template.xlsx (Kliger Gurevich Chapter 8.4 Template) [Dataset]. http://doi.org/10.6084/m9.figshare.1221845.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    Palgrave
    Authors
    Gregory Gurevich; Doron Kliger
    License

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

    Description

    Event Studies are overwhelmingly widespread in financial research, providing tools for shedding light on market efficiency, as well as measuring the impact of various occurrences on public firms’ security prices. Mastering the Event Study approach is essential for researchers and practitioners alike.

    Event Studies for Financial Research aims to help readers obtain valuable hands-on experience with Event Study tools and gain technical skills for conducting their own studies. Kliger and Gurevich provide a detailed application of their approach, which consists of a description of the method, references, guided applications, and elaborated framework for implementing the applications.

  17. c

    CNBC Economy Articles Dataset

    • crawlfeeds.com
    csv, zip
    Updated Jan 10, 2025
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    Crawl Feeds (2025). CNBC Economy Articles Dataset [Dataset]. https://crawlfeeds.com/datasets/cnbc-economy-articles-dataset
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Jan 10, 2025
    Dataset authored and provided by
    Crawl Feeds
    License

    https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy

    Description

    The CNBC Economy Articles Dataset is an invaluable collection of data extracted from CNBC’s economy section, offering deep insights into global and U.S. economic trends, market dynamics, financial policies, and industry developments.

    This dataset encompasses a diverse array of economic articles on critical topics like GDP growth, inflation rates, employment statistics, central bank policies, and major global events influencing the market. Designed for researchers, analysts, and businesses, it serves as an essential resource for understanding economic patterns, conducting sentiment analysis, and developing financial forecasting models.

    Dataset Highlights

    Each record in the dataset is meticulously structured and includes:

    • Article Titles
    • Publication Dates
    • Author Names
    • Content Summaries
    • URLs to Original Articles

    This rich combination of fields ensures seamless integration into data science projects, research papers, and market analyses.

    Key Features

    • Number of Articles: Hundreds of articles sourced directly from CNBC.
    • Data Fields: Includes title, publication date, author, article content, summary, URL, and relevant keywords.
    • Topics Covered: U.S. and global economy, GDP trends, inflation, employment, financial markets, and monetary policies.
    • Format: Delivered in CSV format for easy integration with research tools and analytical platforms.
    • Source: Extracted directly from CNBC’s economy news section, ensuring accuracy and relevance.

    Use Cases

    • Economic Research: Gain insights into U.S. and global economic policies, market trends, and industry developments.
    • Sentiment Analysis: Assess the sentiment of economic articles to gauge market perspectives and investor confidence.
    • Financial Modeling: Build forecasting models leveraging key economic indicators discussed in the dataset.
    • Content Creation: Develop research-backed reports, articles, and presentations on economic topics.

    Explore More News Datasets

    Interested in additional structured news datasets for your research or analytics needs? Check out our news dataset collection to find datasets tailored for diverse analytical applications.

  18. New Events Data in Georgia

    • kaggle.com
    Updated Sep 14, 2024
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    Techsalerator (2024). New Events Data in Georgia [Dataset]. https://www.kaggle.com/datasets/techsalerator/new-events-data-in-georgia/suggestions
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 14, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    Georgia
    Description

    Techsalerator's News Events Data for Georgia: A Comprehensive Overview

    Techsalerator's News Events Data for Georgia offers a valuable resource for businesses, researchers, and media organizations. This dataset compiles information on significant news events across Georgia, drawing from a wide range of media sources, including news outlets, online publications, and social platforms. It provides essential insights for those tracking trends, analyzing public sentiment, or monitoring developments in specific industries.

    Key Data Fields
    Event Date: Records the exact date of the news event, crucial for analysts monitoring trends over time or businesses responding to changes in the market.

    Event Title: A brief headline that describes the event, allowing users to quickly categorize and assess the content based on relevance to their interests.

    Source: Identifies the news outlet or platform where the event was reported, helping users track credible sources and evaluate the reach and influence of the event.

    Location: Provides geographic information, indicating where the event took place within Georgia. This is particularly valuable for regional analysis or localized marketing efforts.

    Event Description: A detailed summary outlining key developments, participants, and potential impact. Businesses and researchers use this to understand the context and implications of the event.

    Top 5 News Categories in Georgia
    Politics: News coverage on government decisions, political movements, elections, and policy changes shaping the national landscape.

    Economy: Focuses on Georgia's economic indicators, trade, corporate activities, and financial developments that influence the business and finance sectors.

    Social Issues: News covering societal concerns such as public health, education, and protests that drive public discourse.

    Sports: Highlights major sports events, particularly in rugby, football, and wrestling, which are widely followed across the country.

    Technology and Innovation: Reports on tech advancements, startups, and innovations in Georgia's growing tech ecosystem, including contributions from local and international companies.

    Top 5 News Sources in Georgia
    Agenda.ge: A leading news portal offering updates on politics, economy, and social issues.

    Interpressnews: A prominent online news platform providing real-time updates on breaking news and major developments across Georgia.

    Georgia Today: An English-language publication focused on Georgia’s political, economic, and business landscape.

    Civil.ge: A well-respected source for in-depth analysis of political and social issues in Georgia.

    Radio Tavisupleba: A major news network that broadcasts updates on current affairs, culture, and live events throughout the country.

    Accessing Techsalerator’s News Events Data for Georgia
    To access Techsalerator’s News Events Data for Georgia, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

    Included Data Fields
    Event Date
    Event Title
    Source
    Location
    Event Description
    Event Category (Politics, Economy, Sports, etc.)
    Participants (if applicable)
    Event Impact (Social, Economic, etc.)

    Techsalerator’s dataset is a vital tool for tracking significant events in Georgia. It supports informed decision-making for business strategies, market analysis, or academic research by providing a clear picture of the country's news landscape.

  19. D

    Event-Driven Architecture In Financial Services Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Event-Driven Architecture In Financial Services Market Research Report 2033 [Dataset]. https://dataintelo.com/report/event-driven-architecture-in-financial-services-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Event-Driven Architecture in Financial Services Market Outlook



    According to our latest research, the global Event-Driven Architecture in Financial Services market size reached USD 3.7 billion in 2024, reflecting a robust upward trajectory. The market is expected to expand at a CAGR of 18.2% from 2025 to 2033, with projections indicating that it will attain a value of USD 19.1 billion by 2033. This significant growth is primarily attributed to the increasing need for real-time data processing, regulatory compliance, and the rapid digitization of financial services worldwide.



    One of the primary growth factors driving the Event-Driven Architecture in Financial Services market is the escalating demand for real-time processing and analytics. Financial institutions are under immense pressure to detect and mitigate fraudulent transactions, respond to market shifts instantly, and deliver seamless customer experiences. Event-driven architecture (EDA) enables organizations to process and analyze data as it is generated, facilitating immediate decision-making and operational agility. As the volume and velocity of financial transactions continue to surge, especially with the proliferation of digital payments and online banking, the adoption of EDA becomes indispensable for maintaining competitiveness and compliance in a dynamic regulatory landscape.



    Another significant driver is the increasing regulatory scrutiny and compliance requirements imposed on financial institutions globally. Regulators are mandating more stringent real-time reporting, risk management, and anti-money laundering (AML) measures. Event-driven architecture provides the flexibility and scalability needed to integrate disparate systems, automate compliance workflows, and ensure that financial institutions can respond promptly to regulatory changes. The ability of EDA to orchestrate complex event processing across multiple channels and legacy systems is particularly valuable in the context of evolving regulatory frameworks, thereby accelerating its adoption across banks, insurance companies, and investment firms.



    Furthermore, the ongoing digital transformation initiatives across the financial services industry are significantly contributing to the growth of the Event-Driven Architecture in Financial Services market. Organizations are increasingly leveraging cloud computing, artificial intelligence, and advanced analytics to deliver personalized services and enhance operational efficiency. EDA acts as the backbone for these digital initiatives by enabling seamless integration, event streaming, and real-time insights. As financial institutions strive to differentiate themselves through superior customer experiences and innovative offerings, the demand for scalable and resilient event-driven platforms is expected to surge, further propelling market growth.



    From a regional perspective, North America currently dominates the market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The presence of major financial hubs, early technology adoption, and a robust regulatory environment in North America are key factors behind its leadership. Meanwhile, Asia Pacific is poised to witness the highest CAGR during the forecast period, driven by rapid digitalization, expanding fintech ecosystems, and increasing investments in real-time payment infrastructure. Europe also demonstrates strong growth potential, supported by progressive regulatory frameworks and the widespread adoption of open banking standards.



    Component Analysis



    The Component segment of the Event-Driven Architecture in Financial Services market is categorized into platform, services, and tools. Platforms represent the foundational layer, providing the infrastructure for event processing, message brokering, and integration with legacy systems. Leading vendors are continuously enhancing their platforms with advanced features such as event streaming, complex event processing, and support for hybrid cloud environments. The growing need for scalability, fault tolerance, and low-latency data processing is driving financial institutions to invest heavily in robust EDA platforms. As a result, platforms accounted for the largest revenue share in 2024, and this trend is projected to continue throughout the forecast period.



    Services, encompassing consulting, integration, training, and support, play a pivotal role in the successful deployment and optimization of EDA solutions. Fin

  20. d

    Fundamental Data and Financial Statement API

    • datarade.ai
    .json, .csv, .xls
    Updated Dec 27, 2021
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    Financial Modeling Prep (2021). Fundamental Data and Financial Statement API [Dataset]. https://datarade.ai/data-products/fundamental-data-and-financial-statement-api-financial-modeling-prep
    Explore at:
    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Dec 27, 2021
    Dataset authored and provided by
    Financial Modeling Prep
    Area covered
    United States of America, Germany, France, Hong Kong, India, Canada
    Description

    We deliver via API access to Companies Financial statements, Insider transaction, Stock Ownership and all information relative to Stock Fundamental

    Here is the extensive list of all the information that you can access via our API:

    STOCK FUNDAMENTALS

    Financial Statements Annual/Quarter Financial Statements As Reported International Filings Annual/Quarter Quarterly Earnings Reports Shares Float SEC RSS Feeds Real-time SEC Filings Rss feed 8K (Important Events)

    STOCK FUNDAMENTALS ANALYSIS

    Financial Ratios Annual/Quarter Enterprise Value Annual/Quarter Financial Statements Growth Annual Key Metrics Annual/Quarter Financial Growth Annual/Quarter Rating Daily DCF Real-time

    STOCK CALENDARS

    Earnings Calendar Popular IPO Calendar Stock Split Calendar Dividend Calendar Economic Calendar

    COMPANY INFORMATION

    Profile Minute Key Executives Market Capitalization Daily Company Outlook New Stock Peers

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Bright Data (2023). Financial Datasets [Dataset]. https://brightdata.com/products/datasets/news/financial

Financial Datasets

Explore at:
.json, .csv, .xlsxAvailable download formats
Dataset updated
Dec 5, 2023
Dataset authored and provided by
Bright Data
License

https://brightdata.com/licensehttps://brightdata.com/license

Area covered
Worldwide
Description

Stay informed with our comprehensive Financial News Dataset, designed for investors, analysts, and businesses to track market trends, monitor financial events, and make data-driven decisions.

Dataset Features

Financial News Articles: Access structured financial news data, including headlines, summaries, full articles, publication dates, and source details. Market & Economic Indicators: Track financial reports, stock market updates, economic forecasts, and corporate earnings announcements. Sentiment & Trend Analysis: Analyze news sentiment, categorize articles by financial topics, and monitor emerging trends in global markets. Historical & Real-Time Data: Retrieve historical financial news archives or access continuously updated feeds for real-time insights.

Customizable Subsets for Specific Needs Our Financial News Dataset is fully customizable, allowing you to filter data based on publication date, region, financial topics, sentiment, or specific news sources. Whether you need broad coverage for market research or focused data for investment analysis, we tailor the dataset to your needs.

Popular Use Cases

Investment Strategy & Risk Management: Monitor financial news to assess market risks, identify investment opportunities, and optimize trading strategies. Market & Competitive Intelligence: Track industry trends, competitor financial performance, and economic developments. AI & Machine Learning Training: Use structured financial news data to train AI models for sentiment analysis, stock prediction, and automated trading. Regulatory & Compliance Monitoring: Stay updated on financial regulations, policy changes, and corporate governance news. Economic Research & Forecasting: Analyze financial news trends to predict economic shifts and market movements.

Whether you're tracking stock market trends, analyzing financial sentiment, or training AI models, our Financial News Dataset provides the structured data you need. Get started today and customize your dataset to fit your business objectives.

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