Wharton Research Data Services (WRDS), the leading data research platform and business intelligence tool for corporate, academic, and government institutions worldwide, is pleased to announce the addition of Audit Analytics European data to its offerings. A part of the Wharton School of the University of Pennsylvania, WRDS provides global corporations, universities, and regulatory agencies the thought leadership, data access and insights needed to enable impactful research.
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“Audit Analytics is one of the most trusted sources of data on our platform and we think the academic community will also embrace their new data.”
Through WRDS, researchers can now analyze public companies listed on European exchanges (EEA, UK, and Switzerland), with access to audit opinions, audit fees, auditor engagements and tenure, auditor changes, key audit matters, and transparency reports.
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Key highlights:
- Coverage of approximately 8,000+ companies listed on EEA, UK, and Swiss regulated and select unregulated exchanges
- Audit, audit related, tax, and other fees paid to the independent auditor
- Key audit matters (KAMs) disclosed in English from over 4,000 companies since 2014
- Ten years of historical data for most datasets
“We’re excited to expand our relationship with Audit Analytics with the addition of their key European data,” said Robert Zarazowski, Managing Director of WRDS. “Audit Analytics is one of the most trusted sources of data on our platform and we think the academic community will also embrace their new data.”
“We are delighted to collaborate with WRDS to offer this breakthrough product to the hundreds of universities we serve on the WRDS platform,” explained Matt Dolan, VP of Marketing at Audit Analytics. “These European data sets make research on auditor market share, fees, and key audit matters available for the first time, opening new horizons to student researchers and the broader accounting research community. As always, we look forward to seeing what our academic partners accomplish with the support of this new data.”
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