This data set contains data on the stock index DAX in Germany – the Deutscher Aktien Index or the GER40. It represents 40 of the largest and most liquid German companies that trade on the Frankfurt Exchange.

The data is publicly available from many economics and financial news sites such as Trading View and Trading Economics.

This particular dataset records the Open, High, Low, Close, Adj Close and Volume from September 2022 to September 2023.

We study the Beaudry and Portier (2006)-hypothesis of delayed-technology diffusion and news-driven business cycles. For German data on TFP and stock prices we find qualitatively similar empirical evidence. Quantitatively, however, an impulse response analysis suggests that a substantial part of the total TFP response is immediate rather than delayed. We relate this to disembodied technological change and noisy data on TFP. Nevertheless, we confirm the technology interpretation of structural shocks by showing that they are Granger-causal for data on patents granted by the Ge rman patent agency. We also show that these shocks generate comovement of macro variables at business cycle horizons and account for a sizable share of the forecast error variance of these variables in the medium and long run.

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

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

Key Data Fields
Event Date: Captures the exact date of the news event. This is crucial for analysts monitoring trends over time or for businesses responding to market shifts.

Event Title: A brief headline describing the event. This allows users to quickly categorize and assess news content based on relevance to their interests.

Source: Identifies the news outlet or platform where the event was reported. This helps users track credible sources and assess the reach and influence of the event.

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

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

Top 5 News Categories in Germany
Politics: Major news coverage on government decisions, political movements, elections, and policy changes affecting the national landscape.

Economy: Focuses on Germany’s economic indicators, international trade, and corporate activities influencing the business and finance sectors.

Social Issues: News events covering public health, education, immigration, and other societal concerns that shape public discourse.

Sports: Highlights events in football, basketball, and other sports that attract widespread attention and engagement across Germany.

Technology and Innovation: Reports on tech developments, startups, and innovations in Germany’s thriving tech ecosystem, featuring companies like SAP and Siemens.

Top 5 News Sources in Germany
Der Spiegel: A leading news magazine offering in-depth coverage of politics, economy, and international affairs.

Die Zeit: A well-respected publication known for its investigative journalism and analysis of national and global issues.

Bild: A popular tabloid that provides real-time updates on breaking news, entertainment, and sports.

Frankfurter Allgemeine Zeitung (FAZ): A highly-regarded daily newspaper with comprehensive reporting on politics, business, and cultural events.

Süddeutsche Zeitung: A major German newspaper covering a wide range of topics, from politics and economy to social issues and sports.

Accessing Techsalerator’s News Events Data for Germany
To access Techsalerator’s News Events Data for Germany, 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 an invaluable tool for keeping track of significant events in Germany. It aids in making informed decisions, whether for business strategy, market analysis, or academic research, providing a clear picture of the country’s news landscape.

Business Confidence in Germany decreased to 88.10 points in November from 88.40 points in October of 2025. This dataset provides the latest reported value for - Germany Business Confidence - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Overview with Chart & Report: The Ifo Current Business Situation index reflects the assessment of current business conditions provided by German companies. This indicator is part of the Ifo Business Climate Index. A higher than

In 2024, the paid content sales revenue of newspapers increased by ** percent. Print subscriptions, on the other hand, decreased by ** percent.

Comprehensive dataset containing 2,921 verified Newspaper publisher businesses in Germany with complete contact information, ratings, reviews, and location data.

The Gross Domestic Product (GDP) in Germany stagnated 0 percent in the third quarter of 2025 over the previous quarter. This dataset provides the latest reported value for - Germany GDP Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This statistic shows data on the reach of selected weekly magazines in Germany from 2016 to 2021. According to the LAE survey, the business news magazine Wirtschaftswoche had a reach of *** percent among business and administration leaders in 2021.

Techsalerator’s News Event Data in Europe is a comprehensive and meticulously curated dataset designed to provide businesses, analysts, journalists, and researchers with an extensive view of significant news events across Europe. This dataset captures and categorizes key events reported from a variety of news sources, offering valuable insights into industry developments, economic changes, political shifts, and other noteworthy occurrences throughout the continent.

Key Features of the Dataset: Extensive Coverage:

The dataset aggregates news events from a wide range of sources including press releases, industry news sites, blogs, PR platforms, and traditional news outlets. This broad coverage ensures that users receive a diverse array of information from multiple reporting channels. Categorization of Events:

News events are meticulously categorized into various types such as business and financial updates, political developments, technological advancements, legal and regulatory changes, and cultural events. This categorization helps users quickly locate and analyze information relevant to specific interests or sectors. Real-Time Updates:

Data is updated regularly to include the most current events. This ensures that users have access to the latest information and can stay informed about recent developments as they unfold. Geographic Segmentation:

Events are tagged with their respective countries and regions within Europe. This geographic segmentation allows users to filter and analyze news events based on specific locations, facilitating targeted research and analysis. Event Details:

Each event entry includes detailed information such as the date of occurrence, source of the news, event description, and relevant keywords. This comprehensive detail aids in understanding the context and significance of each event. Historical Data:

The dataset includes historical news event data, enabling users to track trends and analyze changes over time. This feature supports longitudinal studies and comparative analysis of historical and recent events. Advanced Search and Filter Options:

Users can search and filter news events based on various criteria such as date range, event type, location, and keywords. This functionality allows for precise and efficient retrieval of relevant information. European Countries Covered: Austria Belgium Bulgaria Croatia Cyprus Czech Republic Denmark Estonia Finland France Germany Greece Hungary Ireland Italy Latvia Lithuania Luxembourg Malta Netherlands Poland Portugal Romania Slovakia Slovenia Spain Sweden Benefits of the Dataset: Informed Decision-Making: Businesses and analysts can leverage the dataset to stay updated on key developments that may impact their operations, market conditions, or strategic decisions. Market and Industry Analysis: The dataset provides valuable insights into industry trends, economic changes, and political events, helping users analyze market dynamics and make informed decisions. Media and PR Monitoring: Journalists and PR professionals can track relevant news and events across Europe, allowing them to monitor media coverage, identify emerging stories, and manage public relations efforts effectively. Academic and Research Purposes: Researchers can use the dataset for longitudinal studies, trend analysis, and academic research on various topics related to European news and events. Techsalerator’s News Event Data in Europe is a vital resource for accessing and analyzing significant news events across the continent. By offering detailed, categorized, and up-to-date information, it supports effective decision-making, research, and media monitoring across diverse sectors.

Germany RS: Books, Magazines & Newspaper: Obstruction of Business Volume data was reported at 86.100 % in Jun 2021. This records a decrease from the previous number of 87.700 % for Mar 2021. Germany RS: Books, Magazines & Newspaper: Obstruction of Business Volume data is updated quarterly, averaging 65.200 % from Jun 2006 (Median) to Jun 2021, with 61 observations. The data reached an all-time high of 95.900 % in Jun 2020 and a record low of 33.800 % in Sep 2016. Germany RS: Books, Magazines & Newspaper: Obstruction of Business Volume data remains active status in CEIC and is reported by Ifo Institute - Leibniz Institute for Economic Research at the University of Munich. The data is categorized under Global Database’s Germany – Table DE.S044: Quarterly Business Survey: Retailing: IFO Institute: WZ 2008.

When asked about "Most purchased daily newspapers by type", 51 percent of German respondents answer "As single issues". This online survey was conducted in 2023, among 1,541 consumers.Find this and more survey data on most purchased daily newspapers by type in our Consumer Insights tool. Filter by countless demographics, drill down to your own, hand-tailored target audience, and compare results across countries worldwide.

The corpus consists of 1,128 German news articles from the years 2003 to 2009, collected from 29 general and business news websites. In each article, statements on the revenue of companies or markets were manually annotated, i.e., sentences and entities that refer to a statement are tagged and linked to each other.

Here is an example of a revenue statement from the corpus:

Loewe AG: Vorläufige Neun-Monats-Zahlen
Kronach, [6. November 2007]_REF - Das Ergebnis vor Zinsen und Steuern (EBIT) des Loewe Konzerns konnte in den ersten 9 Monaten 2007 um 41% gesteigert werden. Vor diesem Hintergrund hebt die [Loewe AG]_ORG ihre EBIT-Prognose für das laufende Geschäftsjahr auf 20 Mio. Euro an. Beim Umsatz strebt Konzernchef [Rainer Hecker]_AUTH [für das Gesamtjahr]_TIME ein höher als ursprünglich geplantes [Wachstum]_TREND [von 10% auf ca. 380 Mio. Euro]_MONEY an. (...)

A revenue statement comprises seven attributes:

• Forecast/Declaration: A sentence that represents a forecast or declaration on revenue.
• Organization/Market: The subject of the statement, i.e., either an organization or market.
• Time Expression: The period of time referenced by the statement.
• Reference Point: The point in time when the statement was issued (used to resolute relative time expressions).
• Money Expression: The monetary value referenced by the statement.
• Author: The holder of the statement.
• Trend: A word that indicates the trend of the monetary entity.

A total of 2,075 statements have been annotated by domain experts. For more information on the construction of the dataset see the documentation.

Germany RS: Books, Magazines & Newspaper: Lack of Qualified Employees data was reported at 18.300 % in Jun 2021. This records an increase from the previous number of 8.800 % for Mar 2021. Germany RS: Books, Magazines & Newspaper: Lack of Qualified Employees data is updated quarterly, averaging 5.400 % from Jun 2006 (Median) to Jun 2021, with 61 observations. The data reached an all-time high of 21.400 % in Jun 2018 and a record low of 0.000 % in Jun 2020. Germany RS: Books, Magazines & Newspaper: Lack of Qualified Employees data remains active status in CEIC and is reported by Ifo Institute - Leibniz Institute for Economic Research at the University of Munich. The data is categorized under Global Database’s Germany – Table DE.S044: Quarterly Business Survey: Retailing: IFO Institute: WZ 2008.

Germany RS: Books, Magazines & Newspaper: Other Obstructive Factorsr data was reported at 48.700 % in Jun 2021. This records a decrease from the previous number of 68.400 % for Mar 2021. Germany RS: Books, Magazines & Newspaper: Other Obstructive Factorsr data is updated quarterly, averaging 10.700 % from Jun 2006 (Median) to Jun 2021, with 61 observations. The data reached an all-time high of 68.900 % in Jun 2020 and a record low of 0.000 % in Jun 2018. Germany RS: Books, Magazines & Newspaper: Other Obstructive Factorsr data remains active status in CEIC and is reported by Ifo Institute - Leibniz Institute for Economic Research at the University of Munich. The data is categorized under Global Database’s Germany – Table DE.S044: Quarterly Business Survey: Retailing: IFO Institute: WZ 2008.

Context

Official COVID19 data for Germany publicized by Robert Koch Institute Offizieller Datensatz des Rober-Koch-Instituts zu COVID19-Fällen in Deutschland

I'm just linking the official upload location to Kaggle.

There already is a COVID19 dashboard with a map for Germany, based on that data: https://npgeo-corona-npgeo-de.hub.arcgis.com/ But there certainly are more statistical questions to be answered.

I also started gathering and adding some additional data (not by RKI).

As for the columns labels in two of the three sets: they are very confusing and they are not even explained on the official upload website. Fortunately @sebastianhelm put some work into researching them: https://www.kaggle.com/mreverybody/covid19-data-germany-robert-koch-institute/discussion/142140#808487

Content

RKI data is uploaded here (For the actual download link for the CSV seed download button on the site): - https://npgeo-corona-npgeo-de.hub.arcgis.com/datasets/dd4580c810204019a7b8eb3e0b329dd6_0?selectedAttribute=Datenstand - https://npgeo-corona-npgeo-de.hub.arcgis.com/datasets/ef4b445a53c1406892257fe63129a8ea_0?geometry=-19.734%2C46.270%2C35.989%2C55.886 - https://npgeo-corona-npgeo-de.hub.arcgis.com/datasets/917fc37a709542548cc3be077a786c17_0

Additional data: - Political measures taken and events / incidents: https://github.com/mafleischer/covid19-robert-koch-data/blob/master/additional_data/covid19_events_measures.csv Sources: https://www.deutschland.de/de/news/coronavirus-in-deutschland-informationen#

Acknowledgements

Rober Koch Institute for making the data public https://www.rki.de/

Inspiration

There are only few official and neutral sources concerning COVID19 cases in Germany, but many false claims and panic going around in the public. Although the RKI data is publically available it is not propagated well and it is a bit hard to come across.

This statistic shows data on the reach of selected weekly newspapers in Germany from 2016 to 2021. According to the LAE 2021 survey, the Sunday newspaper Die Zeit had a reach of **** percent among business and administration leaders.

Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 23800 companies listed on the Berlin Stock Exchange (XBER) in Germany. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.

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Top 5 used data fields in the End-of-Day Pricing Dataset for Germany:

1. Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.

2. Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.

3. Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.

4. Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.

5. Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.

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Top 5 financial instruments with End-of-Day Pricing Data in Germany:

DAX Index: The DAX (Deutscher Aktienindex) is the main stock market index in Germany. It tracks the performance of the 30 largest publicly traded companies on the Frankfurt Stock Exchange based on market capitalization and trading volume.

Volkswagen AG: One of the world's largest automobile manufacturers, Volkswagen produces a wide range of vehicles, including cars, trucks, and buses. It operates globally and is known for brands such as Volkswagen, Audi, Porsche, and more.

Siemens AG: A multinational conglomerate, Siemens is a leading provider of technology solutions in various sectors, including energy, healthcare, industrial automation, and infrastructure.

Deutsche Bank AG: One of Germany's major financial institutions, Deutsche Bank offers a wide range of banking and financial services, including investment banking, retail banking, and asset management.

BASF SE: A global chemical company, BASF produces a variety of products ranging from chemicals, plastics, and performance materials to agricultural solutions and oil and gas products.

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If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Germany, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

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Data fields included:

Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E) ‍

Q&A:

1. How much does the End-of-Day Pricing Data cost in Germany ?

The cost of this dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

1. How complete is the End-of-Day Pricing Data coverage in Germany?

Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on Germany exchanges.

1. How does Techsalerator collect this data?

Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.

1. Can I select specific financial instruments or multiple countries with Techsalerator's End-of-Day Pricing Data?

Techsalerator offers the flexibility to select specific financial instruments, such as equities, bonds, or indices, depending on your needs. While the dataset focuses on Botswana, Techsalerator also provides data for other countries and international markets.

1. How do I pay for this dataset?

Techsalerator accepts various payment methods, including credit cards, direct transfers, ACH, and wire transfers, facilit...

Germany RS: Books, Magazines & Newspaper: Poor Demand data was reported at 47.800 % in Jun 2021. This records a decrease from the previous number of 67.500 % for Mar 2021. Germany RS: Books, Magazines & Newspaper: Poor Demand data is updated quarterly, averaging 48.900 % from Jun 2006 (Median) to Jun 2021, with 61 observations. The data reached an all-time high of 76.900 % in Jun 2014 and a record low of 20.300 % in Dec 2018. Germany RS: Books, Magazines & Newspaper: Poor Demand data remains active status in CEIC and is reported by Ifo Institute - Leibniz Institute for Economic Research at the University of Munich. The data is categorized under Global Database’s Germany – Table DE.S044: Quarterly Business Survey: Retailing: IFO Institute: WZ 2008.

The television broadcasting industry comprises the planning and broadcasting of television programmes that are made up of a combination of programme components that are either purchased from production companies outside the industry or produced by the television broadcasters themselves. A distinction is made between free-to-air TV broadcasters, which are mainly financed by advertising revenue and, in the case of public broadcasters, by the licence fee, and pay-TV broadcasters, which are also financed by advertising revenue but also by subscription models in which viewers pay for a specific programme. As this sector is mainly financed by advertising revenue, its development depends on factors such as the accessibility of the population, its willingness to pay, which is generally determined by household income, and the business expectations of advertising companies. The better these indicators develop, the higher prices can be achieved for advertising time on television. However, streaming services and online video portals have become an increasingly popular alternative to television in recent years, which is worsening the industry's market position. With the sharp decline in sales, profit margins have also fallen to a very low level and are expected to remain there.Industry revenue fell by an average of 4.7% per year between 2019 and 2024. In 2020 in particular, there was a significant drop in revenue due to the decline in advertising income. Consumers had to cut back on their spending due to the pandemic-related recession and companies experienced liquidity bottlenecks, forcing them to reduce their TV advertising budgets. In the hospitality industry, many pay TV subscriptions were cancelled due to business closures. Teleshopping, on the other hand, recorded sales growth as many consumers shied away from shopping in bricks-and-mortar retail outlets and demand for consumer goods shifted to mail order. In the current year, industry sales are expected to fall by 1.3% to 8.8 billion euros. This is due to the deterioration in business expectations as a result of the Ukraine crisis as well as the sanctions against Russia and the associated economic uncertainty.An average annual decline in revenue of 1.6% is expected for the period from 2025 to 2030, meaning that revenue in 2030 is likely to be €8.2 billion. In addition to the expected increase in digitalisation, which will favour competition from alternative video services, this decline is also due to the falling number of people aged between 18 and 64, who represent the advertising-relevant audience. This is likely to have a negative impact on the demand for television offerings and therefore on the advertising revenue of industry players.