Sentifi ESG Alternative Data based Intelligence Analytics (45k global equities)

Inherent in current ESG sources are time lags that make it challenging to screen sectors, industries, and assets to identify leading and laggard ESG performers. This coupled with discrepancies in ESG rating methodologies means that there is a lack of correlation in ESG performance baselines. Sentifi’s Alternative Data based ESG analytics solve this key problem. Powered by AI, the technology platform surfaces ESG events reported by 15m+ influencers across tweets, news, and blogs real-time, evaluates the ESG sentiment from these events real-time, and provides early views on the materiality of an ESG event for a particular asset. There is no need to guess the efficacy of the methodologies as the events are surfaced as they are reported to eliminate time lags and support a more granular analysis of the significance of ESG events on a sector, industry, or asset. Key Benefits of Sentifi’s ESG analytics: Real-time ESG event reporting: Identify the crowd segments that report ESG events real-time to power proprietary ESG scoring methodologies More effective ESG screening: Screen portfolios for assets that have positive or negatively perceived ESG events as reported by the 15m+ financially relevant influencers Sentifi’s AI platform monitors, that have yet to be factored into the asset valuation Accurate view on materiality: Gain early indication of ESG event materiality by monitoring historical sentiment shifts for the same ESG event report for an asset to relate the significance of the current event and assess the potential impact on asset price. Easy asset comparability: Understand which segments of the market are reporting ESG events for assets and analyse whether prior reports from this segment were previously factored into asset price movements. For example, which ESG events activists are more positive or negative about in the context of an asset is made transparent with Sentifi’s advanced ESG analytics.

搜集汇总

背景与挑战

背景概述

该数据集通过AI技术实时监测超过1500万影响者报告的ESG事件，并评估其情感，以解决传统ESG数据的时间滞后和评级不一致问题。它提供实时ESG事件报告、有效的投资组合筛选，以及基于历史情感变化的材料性早期评估，帮助用户更精准地分析ESG事件对资产的影响。