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Incorporating ESG Sentiment into Investment Strategies

Quantifying Sustainability in Global News and Social Media.

Articles about environmental changes, social impacts and governance quality have saturated news and social media, making it challenging to identify which companies and countries are behaving sustainably.

To gain perspective on a company or a country's sustainability and make sound, sustainable investment decision, comprehensive numerical ESG insights are required. 

Register to join our on-demand webinar to hear from our experts on how AI-based natural language processing (NLP) engine can be utilized to provide numerical ESG insights on companies and countries to drive better investment decisions.  

Topics discussed:
  • The benefits of ESG sentiment in investment decision making
  • The challenge of news and social media sentiment analysis
  • Monitoring ESG performance via real-time ESG data
  • Quantitative research on the predictive power of ESG scores
Event info
Format:  On-demand webinar
Duration:  1 Hour
Dr. Richard Peterson CEO, MarketPsych
Richard Peterson is CEO of MarketPsych Data which produces psychological and macroeconomic data derived from text analytics of news and social media. MarketPsych’s data is consumed by the world’s largest hedge funds, banks, and governments. Dr. Peterson is psychiatrist and an award-winning financial writer, an associate editor of the Journal of Behavioral Finance, has published widely in academia, and performed postdoctoral neuroeconomics research at Stanford University. 
Dr. Arman Sahovic APAC Head Quantitative Analytics and Data Feeds, Refinitiv
Dr. Arman Sahovic is the APAC Head of Refinitiv's Quantitative Analytics and Data Feeds offering, and thus oversees a range of the most sophisticated quantitative research solutions Refinitiv has to offer, including Cloud-based Database solutions, Sentiment and other Natural Language Processing models, ESG analytics as well as risk and trading models.
Arman's career spans the whole spectrum of a Quant's workflow – first as a former researcher in Mathematics at the Imperial College London, then as a multi-asset class quant at Credit Suisse, London, moving to Point72 Asset Management, Hong Kong, as a quant focussing on Equities. He further worked for MSCI on offerings as broad as index, ESG and portfolio and risk analytics.
Dr. Sahovic holds a PhD in Pure Mathematics from the Imperial College London.


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