This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility: Economists have long used measures of public sentiment about the economy to forecast a wide range of key financial outcomes, like consumer spending and gross domestic product growth. Now, researchers at Penn State, Florida International University, the University of Cincinnati and California State University, Fresno, have used an artificial intelligence-driven approach that analyzes media coverage data and uncovered a significant connection between the public's perception of the economy and hedge fund returns.
Timothy Simin, professor of finance at Penn State's Smeal College of Business, and his co-authors pulled data from the Thomson MarketPsych Indices to create a comprehensive measure of public sentiment, known as a macro sentiment index. They used the index to explore how hedge funds—actively managed funds that pool money from wealthy investors and institutions and use complex trading strategies—take the other side of the public's emotional swings about the economy and are compensated for the risk of doing so. The team published its findings in the Journal of Banking & Finance.
In the following Q&A, Simin spoke about the value of these newer sentiment measures and what they reveal about both hedge funds and the risks—and potential rewards—involved in betting against public perception. Traditional sentiment measures come from one of two places: surveys, like the University of Michigan's Consumer Sentiment Index, or financial market outcomes, like initial public offering (IPO) activity. Both are useful, but surveys are infrequent and ask a small sample of people how they feel in general, while outcome-based measures infer sentiment indirectly from prices.
Our macro sentiment index takes a different approach. It uses a type of artificial intelligence called natural language processing to analyze millions of articles from roughly 2,000 professional news agencies and 800 social media outlets. It measures the tone of what's actually being written about specific macroeconomic topics, like economic growth, inflation, unemployment, bond markets, politics and social disorder.
We then distill these into a single index. The result is a measure that is more timely than surveys and more specific about what people are optimistic or pessimistic about while capturing the media channels through which most people form their views of the economy. We measured how sensitive each of roughly 15,000 hedge funds was to swings in macro sentiment and then tracked how funds with different sensitivities performed.
Through this analysis, we found that funds that effectively bet against public sentiment—funds whose returns move opposite to the sentiment index—outperformed funds riding sentiment by about 0.4% per month, or roughly 5% per year. With larger funds sometimes holding billions of dollars in assets, that could mean differences of tens of millions of dollars in returns. This isn't a fluke of a few unusual funds or time periods.
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