For example, certain companies may employ artificial intelligence, with sentiment analysis algorithms, and natural language processing, to help arrive at data that may assist in ESG investing analysis.<\/p>\n
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S&P Global, for instance, recently noted that ESG investing could become more methodical and accessible with AI technologies. With this in mind, the company recently said the\u00a0Dow Jones Sustainability Index, the original index of sustainable investments from S&P Dow Jones Indices, aims to use AI to speed up analyses and augment traditional research.<\/p>\n
Many researchers also agree that using Big Data as a driving tool for conducting fundamental analysis is likely to reduce issues in corporate disclosures, such as timeliness, accuracy and adherence to stated policies – especially since ESG-related information lacks the same set of standards and generally-accepted principles as applied to financial data.<\/p>\n
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Moreover, certain studies indicate that there appears to be a correlation between media sentiment about a company and its stock\u2019s performance. According to data services provider Refinitiv, for example, stocks tend to outperform after being associated with media sentiment that is high, and when sentiment falls, it may be a warning sign that prices are also likely to decline.<\/p>\n
To this end, through its MarketPsych Analytics, Refinitiv produces data by distilling news and social media content through a curated language framework, which not only measures different emotions like optimism, confusion, and urgency, but also financial language and specific topics, such as interest rates and mergers.<\/p>\n
Meanwhile, FactSet-owned Truvalue Labs \u2013 another data service provider in the ESG space \u2013 can access more than a hundred thousand online sources with unstructured text, such as social media posts. And besides dynamic web feeds, Truvalue Labs\u2019 internal ESG analysts also identify specialized sources to find ESG data, with the company also able to draw on more than two thousand sources residing behind paywalls.<\/p>\n
In fact, the socially responsible investing (SRI) data behind IBKR\u2019s Impact Dashboard is fueled by Refinitiv and Truvalue Labs, who use the unstructured data they collect to compute scores within common frameworks, including ESG and SASB, among others.<\/p>\n
Again, the scores calculated by Refinitiv and Truvalue Labs are derived from thousands of company and non-company resources, including annual reports, regulatory filings, trade blogs, industry publications and social media.<\/p>\n","protected":false},"excerpt":{"rendered":"
This lesson explores the role of Big Data in augmenting traditional fundamental analyses, as well as some of the tools offered by IBKR that support socially responsible investing.<\/p>\n","protected":false},"author":899,"featured_media":9468,"parent":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"contributors-categories":[149],"traders-academy":[100,103,105],"class_list":{"0":"post-9445","1":"trading-lessons","2":"type-trading-lessons","3":"status-publish","4":"has-post-thumbnail","6":"contributors-categories-interactive-brokers","7":"traders-academy-beginner-trading","8":"traders-academy-level","9":"traders-academy-trading-lesson"},"pp_statuses_selecting_workflow":false,"pp_workflow_action":"current","pp_status_selection":"publish","acf":[],"yoast_head":"\n