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How retail investors behave in robinhoods most popular stocks with the performance of the market during Covid 19
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This work project aims to study retail investor activity from Robinhood user holdings aggregated changes given key market conditions such as volatility, market and stock returns, herding effect, and popularity based on google searches during the COVID-19 pandemic. The empirical methodology used in this analysis was based on a multilinear regression model, by using Robin track official data, along with additional data from Bloomberg, CBOE ,and Google Trends Analyzing the results, we found that Robinhood retail investors are indeed sensitive to changes based on retail volume, market returns, and stock volatility and herding effect which can explain retail investor behavior.
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Fintech Trading Robinhood Retail investors