Prado, MelissaSàágua, João Guilherme Martins Borges2014-03-182014-03-182014-01http://hdl.handle.net/10362/11694A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and EconomicsThis paper takes search intensity for stock tickers in Google (SVI) as a direct measure of retail investor attention and assesses whether it holds predictive power over short-term market outcomes. In a sample of the most representative US stocks, during the period 2005 – 2008, I provide evidence that (1) surges of investor attention forecast higher stock liquidity and volatility; (2) depending severely on what is considered an abnormal level of SVI, retail investor attention can also be priced; and (3) SVI does not relate to firm-specific features, such as size and value. Furthermore, I extend the investigation to the aggregate market level, finding that investor attention to the market index predicts greater market liquidity, volatility and return.engInvestor attentionSearch dataStock market predictabilityNoise tradingExploring the predictive power of Google searches over the US stock marketmaster thesis201474638