AlphaYoda - ESG Controversies Impact™
Data category
- Environmental data
- Governance data
- Research data
- Social data
The data offers solutions for:
- Controversies
- Investment decisions and portfolio insight
- Supply chains
- Value at risk
Who are the data users?
- Corporates
- Financial institutions
- Investors
What asset class does the data cover?
- Listed equity
- Private equity
Brief description of the data offering
ESG Controversies Impact™ is a financial and reputational risk quantification solution that translates ESG controversies into concrete, measurable indicators. For each controversy, the product delivers a financial impact estimate and a reputational impact score, alongside an overall risk level assessment, enabling clients to move from qualitative awareness to quantified decision-making.
The solution incorporates predictive analytics models to estimate potential financial losses on listed companies, including ESG Value at Risk (VaR), and supports portfolio-level aggregation for holistic risk management and strategic allocation. Metrics are tracked over time, allowing trend analysis and period-on-period comparison of controversy impact.
Data is accessible via a web platform with interactive dashboards and real-time alerts, CSV export, or REST API with webhook support.
Where and how do you source your data?
AlphaYoda aggregates data from over 5 million sources worldwide, spanning a broad spectrum of media and information types: international, national, regional, and local news outlets; social media platforms; NGO and civil society reports; judicial and regulatory filings; academic publications; and corporate disclosures. Coverage extends across more than 90 languages, ensuring that controversies surfaced in local-language press or non-English jurisdictions are captured with the same rigor as those reported in major international media.
Data is collected and processed in near real-time, with continuous ingestion pipelines ensuring that new controversies are identified and scored within hours of initial publication. Historical depth spans several years, enabling trend analysis and longitudinal controversy tracking at the company level.
Quality control is embedded at multiple stages of the pipeline. Automated deduplication prevents the same event from being counted multiple times across sources. Entity resolution ensures that mentions are correctly attributed to the right legal entity, including subsidiaries and rebranded entities. A structured taxonomy of ESG controversy categories, aligned with international frameworks, governs classification, and analyst review is applied to high-severity or ambiguous cases before final scoring.
What is the cost for your data offering?
Please contact us at [email protected] for more information.