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Release Changelog
Our research apps, website, APIs, and R-package evolve incrementally. Every new release provides enhancements, fixes, or new features. This page provides an overview over the most recent updates.
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Bug Fixes
ARC / AVC / AVyC
1.242
3 September 2023

Fix of estimation window shift in case of automatic event window shift due to non-trading days - moving estimation window by typically 1 or 2 days in its position. Marginal/negligible impact on analysis results of events that took place on weekends and were set by the user to be auto-shifted as per GUI/API option.

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Enhancements
ARC / AVC / AVyC
1.085
17 June 2022

This release adds two new test statistics, incl. corresponding p-values:

  • Wilcoxon at AAR-level

  • CDA T at AAR-level

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Enhancements
ARC / AVC / AVyC
1.079
5 June 2022

For some data inputs/scenarios, our CAAR-level result report had missing values.

We resolved this printout issue. The new report now consistently displays results for Sign Z, StdCSect T, and Adjusted StdCSect T.

Further, we added the p-values for Sign Z, which were lacking so far.

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CATA
21 January 2022

Available again to support you in innovative news analytics research studies!

Use our Computer-Aided Text Analyzer (CATA) to identify the competitive moves described in corporate press releases. Locate the press releases/competitive moves in time with our regular expression-based Event Date Identifier (EDI). Publish innovative Strategy or Finance research with these capabilities, such as this article in the A+ journal Organization Science: https://pubsonline.informs.org/doi/10.1287/orsc.2017.1189

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1.067
23 December 2021

This release adds a new expected return model for our abnormal return calculator (ARC):

  • Fama-French's Five-Factor Model (FF5FM) with all corresponding test statistics

Further, housekeeping tasks were performed and an error in the file printout mechanism was fixed.

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Enhancements
ARC / AVC / AVyC
1.059
4 December 2021

This release adds a new expected return model for our abnormal return calculator (ARC):

  • Capital Asset Pricing Model (CAPM) with all corresponding test statistics

Further, we worked on making our other factor models more accessible:

  • Fama–French three-factor model (FFM3)

  • Carhart four-factor model (FFM4)

You find sample data sets for the CAPM, FFM3, and FFM4 on our ARC instruction page.

Finally, housekeeping tasks were performed and a bug in the printout mechanism was fixed that had shown values of 0 as empty cells.

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ARC / AVC / AVyC
v1.048
9 October 2021

With this release, we added the following test statistic to the abnormal return calculator (ARC):

  • Sign Z (incl. P-Values) at AAR-level

Further, p-values (see https://en.wikipedia.org/wiki/P-value) were added to the following set of test statistics of ARC:

  • Generalized Sign Z at AAR-level

  • Rank Z at AAR-level and CAAR-level

  • Generalized Rank T at AAR-level and CAAR-level

  • Generalized Rank Z at AAR-level and CAAR-level

  • Patell Z at CAAR-level

  • Csect T at CAAR-level

  • Adjusted Patel Z at CAAR-level

  • Adjusted StdSect Z at CAAR-level

  • Skewness Corrected T at CAAR-level

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Enhancements
ARC / AVC / AVyC
v1.026
29 August 2021

With this release, we added the following test statistic to the abnormal return calculator (ARC):

  • Crude Dependence Adjustment Test at AAR-level

Further, p-values (see https://en.wikipedia.org/wiki/P-value) were added to the following set of test statistics of ARC:

  • t-tests at AR-level

  • t-test at CAR-level

  • Patell Z at AAR-level

  • Cross-Sectional Test at AAR-level

  • StdCSect T at AAR-level

  • Adjusted Patell Z at AAR-level

  • Adjusted StdCSect T at AAR-level

  • Skewness Corrected T at AAR-level

  • Crude Dependence Adjustment Test at AAR-level

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