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.

financebench/finance-events-latest dataset hosted on Hugging Face and contributed by the HF Datasets community

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.

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

Introducing our comprehensive economic calendar, your ultimate resource for tracking major global economic events and their impact on currency and stock market prices. With a vast array of fields including event name, country, previous and current values, and more, our calendar provides you with essential data to make informed financial decisions. Stay ahead of the curve with our real-time updates, ensuring you have access to the latest information every 15 minutes. With this powerful tool at your fingertips, you can confidently navigate the dynamic world of economic events and seize opportunities for success. Don't miss out on this essential resource for staying informed and making calculated moves in the market.

About the Dataset This dataset contains financial transaction records and risk management data for accounting systems. It includes a variety of transactional data, such as transaction IDs, amounts, categories, and payment methods, alongside associated risk incidents like fraud, errors, and misstatements. The dataset also captures system metadata, such as user activity, transaction processing time, login frequency, and geographical region of the IP. The data is designed to simulate real-world accounting system operations and risk events, enabling the development and testing of AI-driven risk prediction models. The dataset can be used for research in real-time financial risk management, fraud detection, and improving decision-making processes in accounting systems using artificial intelligence.

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.

In 2019, 24 Islamic finance conferences were hosted by Malaysia. In the same year, there were 463 events which consist of 143 conferences and 320 seminars. These events were part of the Islamic finance awareness campaign.

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

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.).

Local governments manage expenses related to events and festivals under four statistical categories: event operating expenses (201-03), compensation for actual event expenses (301-11), private event business assistance (307-04), and event-related facility expenses (401-04). Information on the organization of local government event and festival expenses is provided along with information on the ratio of the expenditure budget information based on the general account standard organized for local government events and festivals to the total expenditure budget amount. The target account is the general account, and information has been provided since the 2015 fiscal year. You can check more detailed information at the Local Finance Integrated Disclosure System (lofin365.go.kr).

The US_Stock_Data.csv dataset offers a comprehensive view of the US stock market and related financial instruments, spanning from January 2, 2020, to February 2, 2024. This dataset includes 39 columns, covering a broad spectrum of financial data points such as prices and volumes of major stocks, indices, commodities, and cryptocurrencies. The data is presented in a structured CSV file format, making it easily accessible and usable for various financial analyses, market research, and predictive modeling. This dataset is ideal for anyone looking to gain insights into the trends and movements within the US financial markets during this period, including the impact of major global events.

Key Features and Data Structure

The dataset captures daily financial data across multiple assets, providing a well-rounded perspective of market dynamics. Key features include:

• Commodities: Prices and trading volumes for natural gas, crude oil, copper, platinum, silver, and gold.
• Cryptocurrencies: Prices and volumes for Bitcoin and Ethereum, including detailed 5-minute interval data for Bitcoin.
• Stock Market Indices: Data for major indices such as the S&P 500 and Nasdaq 100.
• Individual Stocks: Prices and volumes for major companies including Apple, Tesla, Microsoft, Google, Nvidia, Berkshire Hathaway, Netflix, Amazon, and Meta.

The dataset’s structure is designed for straightforward integration into various analytical tools and platforms. Each column is dedicated to a specific asset's daily price or volume, enabling users to perform a wide range of analyses, from simple trend observations to complex predictive models. The inclusion of intraday data for Bitcoin provides a detailed view of market movements.

Applications and Usability

This dataset is highly versatile and can be utilized for various financial research purposes:

• Market Analysis: Track the performance of key assets, compare volatility, and study correlations between different financial instruments.
• Risk Assessment: Analyze the impact of commodity price movements on related stock prices and evaluate market risks.
• Educational Use: Serve as a resource for teaching market trends, asset correlation, and the effects of global events on financial markets.

The dataset’s daily updates ensure that users have access to the most current data, which is crucial for real-time analysis and decision-making. Whether for academic research, market analysis, or financial modeling, the US_Stock_Data.csv dataset provides a valuable foundation for exploring the complexities of financial markets over the specified period.

Acknowledgements:

This dataset would not be possible without the contributions of Dhaval Patel, who initially curated the US stock market data spanning from 2020 to 2024. Full credit goes to Dhaval Patel for creating and maintaining the dataset. You can find the original dataset here: US Stock Market 2020 to 2024.

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.

Perform in-depth research on topics including mergers, earnings, officer changes, and products, with LSEG's Significant Developments (SigDev) market data.

Panel contains financial statement data of Russian public non-financial companies and also their annual dividend announcements. Precise description of dataset is presented on special sheet of the file.

This dataset provides a listing of Structure Change Events.

This dataset is designed to advance labelled financial sentiment analysis research. It combines two notable datasets, FiQA and Financial PhraseBank, into a single, easy-to-use CSV file. The primary purpose is to provide financial sentences accompanied by their corresponding sentiment labels, which can be positive, negative, or neutral. This resource is valuable for understanding market and corporate sentiment expressed in textual data.

Columns

The dataset is structured with at least two key columns: * Sentence: This column contains the textual financial statement or phrase. * Sentiment Label: This column provides the associated sentiment of the sentence, categorised as 'positive', 'negative', or 'neutral'.

Distribution

The dataset is provided in a CSV file format. It organises financial sentences with their assigned sentiment labels. Specific details regarding the exact number of rows or records are not available in the provided information.

Usage

This dataset is ideal for various applications and use cases, including: * Developing and testing Natural Language Processing (NLP) models for sentiment detection in financial texts. * Conducting data science and analytics projects focused on market dynamics and corporate communications. * Building tools for business intelligence to gauge sentiment from financial news and reports. * Academic research into the nuances of economic language and its emotional tone.

Coverage

The dataset's regional scope is global. The financial sentences included refer to various companies and market events, with examples from periods such as 2008 and 2010. While a precise time range for all data points is not specified, the content is relevant to corporate financial and market sentiment over several years. There are no specific notes on demographic scope; the focus is on business and financial entities.

License

CCO

Who Can Use It

This dataset is particularly suited for: * Researchers keen on exploring financial sentiment analysis techniques and models. * Data Scientists working on machine learning applications for textual data in the finance domain. * Financial Analysts looking to integrate sentiment indicators into their market assessments. * Developers creating applications that require understanding the emotional tone of financial statements.

Dataset Name Suggestions

• Financial Sentence Sentiment Corpus
• Global Financial Sentiment Labeled Data
• Market Sentiment Analysis Dataset
• Corporate Financial Text Sentiment

Attributes

Original Data Source:Financial Sentiment Analysis

Domestic events held (Financial Institute)........

Supplementary information files for the article Emerging stock market volatility and economic fundamentals: the importance of US uncertainty spillovers, financial and health crises

Abstract: This paper studies the US and global economic fundamentals that exacerbate emerging stock markets volatility and can be considered as systemic risk factors increasing financial stability vulnerabilities. We apply the bivariate HEAVY system of daily and intra-daily volatility equations enriched with powers, leverage, and macro-effects that improve its forecasting accuracy significantly. Our macro-augmented asymmetric power HEAVY model estimates the inflammatory effect of US uncertainty and infectious disease news impact on equities alongside global credit and commodity factors on emerging stock index realized volatility. Our study further demonstrates the power of the economic uncertainty channel, showing that higher US policy uncertainty levels increase the leverage effects and the impact from the common macro-financial proxies on emerging markets’ financial volatility. Lastly, we provide evidence on the crucial role of both financial and health crisis events (the 2008 global financial turmoil and the recent Covid-19 pandemic) in raising markets’ turbulence and amplifying the volatility macro-drivers impact, as well.

Personal Finance Services Market Outlook

The global personal finance services market size was valued at approximately USD 7.5 billion in 2023 and is expected to reach around USD 14.6 billion by 2032, growing at a compound annual growth rate (CAGR) of about 7.8% during the forecast period. This growth is underpinned by an increasing awareness among consumers regarding financial literacy and the importance of managing personal finance effectively. The market is also fueled by technological advancements in fintech solutions, which have made personal finance services more accessible and user-friendly for a broader audience. As more individuals seek to optimize their financial assets and navigate economic uncertainties, the demand for comprehensive personal finance services continues to rise.

One of the primary growth factors in the personal finance services market is the burgeoning adoption of digital financial solutions. As technology continues to permeate every facet of daily life, consumers are increasingly turning to digital platforms for managing their finances. This shift is attributed to the convenience, real-time tracking, and personalized insights offered by digital financial tools. With the rise of mobile banking and the proliferation of fintech apps, individuals can now manage budgets, track expenses, and plan investments from the comfort of their devices anytime, anywhere. This digital transformation has not only democratized access to financial services but also spurred innovation among providers who are continuously developing new features and solutions to cater to evolving consumer needs.

Another driving factor is the growing emphasis on financial education and awareness. Governments, non-profit organizations, and private entities are increasingly investing in financial literacy programs aimed at educating the public on financial management, investment, and savings. This heightened awareness is empowering consumers to make informed decisions about their personal finances, thereby increasing the demand for professional financial services. Furthermore, as the global workforce becomes more dynamic and diverse, with gig economy workers, freelancers, and remote employees, there is a rising need for tailored financial planning and advisory services that cater to different financial situations and goals.

Additionally, the evolving economic landscape is pushing individuals to seek more robust and reliable financial strategies. In light of recent economic disruptions, such as the global pandemic and geopolitical tensions, there is an increased focus on financial resilience and risk management. Consumers are now more conscious of the need to safeguard their financial futures against unforeseen events. Personal finance services play a crucial role in helping clients navigate these challenges by offering budgeting, investment, and debt management solutions. This focus on long-term financial health, coupled with the unpredictability of global markets, continues to drive growth in the personal finance services sector.

In the context of personal finance, Money Insurance plays a pivotal role in safeguarding individuals against unforeseen financial losses. This type of insurance is designed to protect the insured's financial assets from risks such as theft, loss, or damage, providing a safety net that ensures financial stability. As economic uncertainties continue to loom, more consumers are recognizing the value of Money Insurance as a crucial component of their financial planning strategy. By offering peace of mind and financial security, Money Insurance enables individuals to focus on achieving their long-term financial goals without the constant worry of potential financial setbacks. As a result, the demand for Money Insurance products is expected to grow, reflecting the increasing importance of comprehensive risk management in personal finance.

Regionally, North America holds a significant share of the personal finance services market, driven by the widespread adoption of digital financial platforms and a high level of financial literacy among consumers. The region is characterized by a mature financial services industry and a strong regulatory framework that fosters innovation and protects consumer interests. Meanwhile, Asia Pacific is emerging as a fast-growing market due to rapid urbanization, economic growth, and increasing internet penetration. Countries like China and India are experiencing a surge in demand for personal finance services as consumers seek to manage their growing incomes and investments. Europe's m