Awaid Yasin is presenting his paper on “Tweeting Inflation: Real-Time Expectations from Social Media Insights.” Using natural language processing (NLP) methods on X (formerly Twitter) data, his work develops a state-level inflation expectations series that comoves with established surveys while offering the benefits of higher frequency data and lower cost. As a financial market application, he demonstrates that higher inflation expectations in a state compared to the national level can predict higher stock market returns for firms headquartered in that state, showcasing a local bias in investing behavior.
Another paper titled, “Monetary Policy & Inflation Expectations: Do Local Conditions Matter?” is being presented by his co-author.
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