The correlation between of sentiment of tweets and stock price returns
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 b...
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| Γλώσσα: | English |
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2020
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| Διαθέσιμο Online: | http://hdl.handle.net/10889/14273 |
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nemertes-10889-142732022-09-05T09:40:17Z The correlation between of sentiment of tweets and stock price returns Μελέτη συσχέτισης price returns και σχολίων σε κοινωνικά δίκτυα Λιβάνης, Νικόλαος Livanis, Nikolaos Price returns Sentiment Κοινωνικά δίκτυα Συναισθήματα 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. 2020-12-07T11:29:32Z 2020-12-07T11:29:32Z 2020-08-15 http://hdl.handle.net/10889/14273 en application/pdf |
| institution |
UPatras |
| collection |
Nemertes |
| language |
English |
| topic |
Price returns Sentiment Κοινωνικά δίκτυα Συναισθήματα |
| spellingShingle |
Price returns Sentiment Κοινωνικά δίκτυα Συναισθήματα Λιβάνης, Νικόλαος The correlation between of sentiment of tweets and stock price returns |
| description |
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. |
| author2 |
Livanis, Nikolaos |
| author_facet |
Livanis, Nikolaos Λιβάνης, Νικόλαος |
| author |
Λιβάνης, Νικόλαος |
| author_sort |
Λιβάνης, Νικόλαος |
| title |
The correlation between of sentiment of tweets and stock price returns |
| title_short |
The correlation between of sentiment of tweets and stock price returns |
| title_full |
The correlation between of sentiment of tweets and stock price returns |
| title_fullStr |
The correlation between of sentiment of tweets and stock price returns |
| title_full_unstemmed |
The correlation between of sentiment of tweets and stock price returns |
| title_sort |
correlation between of sentiment of tweets and stock price returns |
| publishDate |
2020 |
| url |
http://hdl.handle.net/10889/14273 |
| work_keys_str_mv |
AT libanēsnikolaos thecorrelationbetweenofsentimentoftweetsandstockpricereturns AT libanēsnikolaos meletēsyschetisēspricereturnskaischoliōnsekoinōnikadiktya AT libanēsnikolaos correlationbetweenofsentimentoftweetsandstockpricereturns |
| _version_ |
1771297190697762816 |
