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On equity market inefficiency during the COVID-19 pandemic
Robert Navratil1, Stephen Taylor1,2, Jan Vecer1,3
1Charles University, Department of Probability and Statistics, Faculty of Mathematics and Physics, Sokolovska 83, 18675 Praha 8, Czech Republic.
Abstract:
We show that during the weeks following the initiation of the COVID-19 pandemic, the United States equity market was inefficient. This is demonstrated by showing that utility maximizing agents over the time period ranging from mid-February to late March 2020 can generate statistically significant profits by utilizing only historical price and virus related data to forecast future equity ETF returns. We generalize Merton's optimal portfolio problem using a novel method based upon a likelihood ratio in order to construct a dynamic trading strategy for utility maximizing agents. These strategies are shown to have statistically significant profitability and strong risk and performance statistics during the COVID-19 time-frame.
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