In this study, we examine how well prediction markets captured public sentiment during the unprecedented events of the 2020 US Presidential election. Using data from the Iowa Electronic Markets (IEM), a long-standing experimental asset market for political forecasting, our analysis reveals that despite widespread disruptions caused by COVID-19 pandemic lockdowns, economic recession fears, and nationwide protests, these markets continued to provide surprisingly accurate predictions across multiple electoral levels.
