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ESG Screening

Cut through the noise and track the metrics that matter in sustainable finance

RavenPack Edge helps you

Solve the ESG Data Challenge

Forming a comprehensive view of a company’s sustainability profile is a genuine challenge. Sustainability data mostly comes in unstructured formats that are difficult to consume systematically, which makes the relevant sustainability signals often go unnoticed by practitioners. As investors are increasingly relying on data-driven processes to achieve scale and efficiency across ESG applications, addressing the data challenge is more than ever the foundational step of any long-standing ESG strategy. As a leading alternative data provider, RavenPack can help.

Extensive

Coverage At Scale

The RavenPack data benefits from local and global newswire coverage, which gives investors the opportunity to identify companies involved in controversial events reported in local news outlets before the information reaches the mainstream media.

The news data can also be used to screen companies reported as exposed to specific business areas, like fossil fuel energies or controversial weapons.

RavenPack’s decades-long news archive and global coverage provides investors with the ability to derive insights from a unique source of sustainability signals.

Coverage at Scale
Targeted

A Fitting Data Solution

Among alternative datasets, news data is an exceptionally rich source of information. News data can be consumed in real time and help investors identify new sources of risks as they emerge.

The RavenPack event classification covers numerous topics across companies and global macroeconomic entities, including business, economic, political, societal and environmental events.

The event classification has expanded to capture a range of granular sustainability themes and events, such as the creation of a net-zero emissions target or a reported increase in GHG emissions.

A Targeted Solution
Growth-oriented

Alpha-generative ESG

The inclusion in portfolios of companies with positive societal impact provides greater downside protection to investors, which makes more investment sense. In a recent case study, RavenPack tested the claim made by MSCI, a leading ESG-ratings provider, that higher-rated companies tended to outperform their lower-rated peers on a standalone basis. The results were qualitatively in agreement with the MSCI findings and support the hypothesis that ESG ratings positively contribute to performance.

Alpha Generative
ESG Research

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August 10, 2022

ESG Investing: The Price of Controversy

Sustainability factors can severely impact the financial performance of companies, and investors should account for ESG risks in their portfolio construction process. We analyze the relationship between ESG controversy events detected in RavenPack Edge, and share prices of listed equities.

July 15, 2022

ESG Controversy Case Study: Boeing:The 737-MAX MCAS scandal

Two Boeing 737-MAX aircraft crashed in 2018 and 2019. Investigations revealed that the fatalities were caused by the Boeing-developed MCAS and a lack of pilot training.

July 5, 2022

ESG Controversy Case Study: Volkswagen

The September 2015 dieselgate scandal has cost Volkswagen AG more than $34 billion in fines and settlements. The various dimensions of this scandal were captured by our news-based ESG Controversy Scoring Framework.

June 22, 2022

ESG Controversy Case Study: BP the Gulf of Mexico Oil spill

Our news-based ESG Controversy Scoring Framework captured the different dimensions of the 2010 environmental scandal for BP, as well as other subsequent events, like an industrial fire at a BP refinery in 2012.

May 23, 2022

ESG Controversy Case Study: Activision Blizzard

Last summer, Activision Blizzard was accused of covering up allegations of workplace abuse, harassment, and discrimination, which led to employee walkouts and protests. Our ESG Controversy Scoring Framework detected it.

April 25, 2022

Introducing the RavenPack ESG Controversy Scoring Framework

RavenPack’s ESG Controversy Scoring framework is based on real-time detections of events across 40,000+ news sources in 13 different languages.

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