NLP

How Natural Language Processing (NLP) empowers the equity indexing – cooperation between Hang Seng Index and Wizpresso

Hang Seng Index (HSI) has joined hands with Wizpresso to utilize our Discovery platform for index formulation. With its natural language processing (NLP) SaaS solution, Wizpresso can streamline the research processes and identify potential constituents for thematic indexes.  How does Equity Indexing work?  As an essential indicator of the Hong Kong stock market, HSI has […]

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Formulating New Thematic Funds with the assistance of AI and NLP

Introducing Thematic Investing Thematic investing is a top-down investment approach that capitalizes on emerging trends relating to macroeconomics, geopolitics, and technology. These trends encompass long-term, structural shifts arising from innovative business models, disruptive technologies, and changing consumer preferences and behaviors—megatrends that have the potential to change whole industries and shape the way we will live,

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How NLP can improve ESG Investing

Natural Language Processing (NLP) has the potential to improve ESG investing in a number of ways, from inventing alpha-generating tools to monitoring controversial risk across portfolios. Using NLP technology, investors may capitalize on the worldwide trend of ESG investment. Analytics might be generated by scanning web news, identifying entities, linking them to events, and then

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Leverage NLP to Unlock ESG Insights

Takeaways: Investors are increasingly conscious of the significance of environmental, social, and governance (ESG) issues when making investment decisions; the percentage of taking ESG into investment consideration rose from 61% to 72% between 2019 and 2021. Institutions such as the Global Reporting Initiative (GRI) and Task Force on Climate-related Financial Disclosures (TCFD) are creating guidelines

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