In a world of information overload, how can investment managers cut through the noise and use news media to their advantage? The answers start with assessing the impact that news has on share prices— and it requires tapping into the power of AI.
Using the media to inform investment decisions is not a new concept, of course. But determining the true impact of news stories – from articles that leave room for a range of different interpretations, contain several different angles and fit into any number of industry or macroeconomic trends – has historically been difficult, limiting their utility.
Until now, that is. In a recent study in collaboration with AI research platform Causality Link and the Toulouse School of Economics, French asset manager Amundi found that when incorporated into a long-short strategy, company-specific fundamental news can produce positive excess returns up to the day after publication. This report is a key milestone for anyone seeking to learn where and how investment intelligence can be gleaned from the media.
The key is to analyze this information programmatically and at scale. Using the power of AI, Causality Link ingests thousands of news articles and other written content each day, extracts key performance indicators (KPIs) and links them to their respective companies within a vast database, along with the direction (positive or negative) and tense (past, present or future) of the news. Across thousands of documents, these “causal links” can be aggregated into powerful news sentiment signals.
Amundi’s study revolved around how, when and to what extent these signals are reflected in share prices. For each trading day, the firm constructed two portfolios. One consisted of stocks with the most positive news signals for that day, and the other shorted stocks with the most negative signals for that day. This process was carried out repeatedly to assess a range of criteria beyond positive or negative direction alone, including volume of coverage, timing of news publication, category and tense of the news, company size and more.
The result: these signal-driven portfolios outperformed the market significantly, averaging an overall excess return of +1.3% per day. These positive effects persisted into the following day, though average returns were significantly lower at +0.04%. That’s a powerful endorsement of using news media sentiment to drive investment decisions – and the findings become even more revealing as you drill deeper. Let’s explore three of the most compelling.
Focus on the Future
The study found that companies’ share prices react more strongly to news about their future than to revelations about their present and past achievements. This follows logically. Many market participants will assume that the present and past are already “priced in,” while future predictions invite more opportunity for speculation. In addition, the study found that news on the near-term future will impact prices more than that relating to the long-term future.
ESG Exaggeration
While share prices moved significantly based on news relating to company finances and fundamentals, their reaction to news on environmental, social and governance (ESG) issues was negligible. In fact, negative ESG news had a slightly positive effect on prices, suggesting a lack of causation. This makes sense because even most ESG-focused investments are financial in nature. Nobody invests to lose money - any ESG investment worth its salt has the potential to be profitable.
Size Matters
News information had a far greater impact on share prices of smaller companies than on the prices of their larger counterparts. Portfolios focused on larger companies generated an average return of +0.7% on publication day – significant, but less than half of those focused on mid- and small-cap companies. This is likely due to lower volumes and more limited news flow on smaller firms. When there are fewer sources at play, investors are more likely to react to one particular piece of news. This finding can be seen as an extension of the broader cost-benefit analysis of investing in small caps, where the potential for returns is great, but the risk of volatility and low liquidity may give pause.
Conclusion: Taking Action
These findings have significant implications. With better insight into how the headlines manifest in market swings, investors can identify opportunities before the competition and take swifter, more decisive action to pursue them. Across our society, the excitement around AI is palpable, with mainstream innovations like ChatGPT inspiring conversations on how machines may augment or replace human intelligence and help shape the future of society long into the future. But we need not look that far ahead to see its impact. As we see in Amundi’s findings, AI is already proving its value today – and investors stand to benefit.
