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Title: The correlation between of sentiment of tweets and stock price returns
Other Titles: Μελέτη συσχέτισης price returns και σχολίων σε κοινωνικά δίκτυα
Authors: Λιβάνης, Νικόλαος
Keywords: Price returns
Keywords (translated): Κοινωνικά δίκτυα
Abstract: As opposed to computers, it is hard for people to consistently settle on objective choices and not let sentiments and feelings influence them. It has been noticed that there are a ton of irregularities in budgetary markets that would not show up if people were levelheaded and if stock prices were based on all accessible data about an company and nothing more. That is what the efficient market hypothesis by Fama (1970) recommends. The reality is clearly more complicated than that and to be able to predict future stock returns, human emotions need to be considered.
Appears in Collections:Τμήμα Οικονομικών Επιστημών (ΜΔΕ)

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