Apps for event studies and news analytics

EventStudyTools helps you perform event studies and news analytics with dedicated research apps. These apps will calculate for you the various statistics needed in your academic or business-oriented research project.

You can access our research apps online on this website or locally via our R-package and application programming interface (API) .

The EventStudyTools website further provides reviews of methodological literature, access to event study experts, and ideas on meaningful academic and business applications.

Event Study Tools

Use our Award-winning research apps!

Explore how you can make your research more innovative with our research apps and review publications that cite us on Google Scholar - such as this A+ ranked article.

Join the scholars who have saved countless hours of coding by having used EventStudyTools' research apps 134393 times.


Why our research apps

  • Easy to use, no coding required
  • All the metrics you need to get published
  • Proven in a large number of publications
  • Multi-channel: web/graphical user interface, R-package, and direct API 
  • Full privacy. No personal data is stored: Payments are processed by Stripe and only the hash value of your email is stored by us as your access key
  • Free basic abnormal return calculator (bARC) to try out the process
  • Fairly priced advanced calculators with one-off payments only - we do not do subscriptions / recurring payments
  • Free student access for whitelisted institutions

Watch the Chinese version of this introduction on youtube.


Features of abnormal return calculator

  • Ideal for sample studies - with one analysis, you can study a large number of events at different dates and cluster them by sub-groups
  • Large choice of expected return models, including the market model and various factor models
  • Test statistics at the AR-, CAR-, AAR- and CAAR-levels (incl. p-values)
  • Automatic adjustments for non-trading event dates, for example to the subsequent trading day
  • Choice between simple and log returns
  • Data file compilation service to help you create your input data files
  • Market Model
  • Scholes/Williams
  • Market Adjusted
  • Comparison Period Mean Adjusted
  • Capital Asset Pricing Model (CAPM)
  • Fama-French 3 Factor Model
  • Fama-French-Momentum 4 Factor Model
Test Statistics
  • Time-Series T-Test
  • Cross-Sectional T-Test
  • Patell Test
  • Adjusted Patell Test
  • BMP/Standardized Cross-Sectional Test
  • Adjusted Standardized Cross-Sectional Test
  • Skewness Corrected
  • Rank Z
  • Generalized Rank T
  • Generalized Rank Z
  • Generalized Sign Z
Other Features
  • Automatic non-trading day adjustments
  • Choice between simple and log-returns
  • Optional data file creation service

Workflow for an event study when using our web interface

To conduct an event study on, you simply need to parameterize your analysis and upload the respective financial data - which you can retrieve beforehand at one of the free financial data providers (e.g., Yahoo!Finance). Figure 1 illustrates this basic workflow. Please note that we offer three event study research apps: An abnormal return calculator (ARC) for return event studies, an abnormal volume calculator (AVC) for event studies that investigate abnormal trading volumes, and an abnormal volatility calculator (AVyC) if the trading volatility is to be investigated. Each abnormal effect calculator will give you the test statistics that you need for your publication.

Eventstudy analysis

News Analytics

News analytics describes the analysis of news streams aimed at turning news into quantitative metrics and time-series. As a quantitative research approach, news analytics can be well combined with event studies that capture the capital market responses of the corresponding news. We consider this combination of methods particularly fruitful for both scientific research purposes and for practical applications, such as news-based trading strategies. The figure below sketches the news analytics capabilities available to you on EventStudyTools.

News analytics