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Google Search Sentiment And Sector Etf Performance, Andrew J. Williamson

Honors Theses

This paper utilizes data from Google searches in an attempt to utilize online investor sentiment as a predictor of sector exchange traded fund (ETF) performance. The paper tests the assumptions of the Efficient Market Hypothesis that all known information about a stock is incorporated into the price of the stock. With the emergence of ETFs as a popular form of investment for casual investors, there is a possibility that these investors may use Google as a way to collect information about potential stock picks. Thus, this paper investigates the association between online search interest and excess ETF returns by collecting …