Difference between revisions of "Wikipedia and Stock Return: Wikipedia Usage Pattern Helps to Predict the Individual Stock Movement"
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| − | '''Wikipedia and Stock Return: Wikipedia Usage Pattern Helps to Predict the Individual Stock Movement''' - scientific work related to Wikipedia quality published in 2016, written by Pengyu Wei and Ning Wang. | + | '''Wikipedia and Stock Return: Wikipedia Usage Pattern Helps to Predict the Individual Stock Movement''' - scientific work related to [[Wikipedia quality]] published in 2016, written by [[Pengyu Wei]] and [[Ning Wang]]. |
== Overview == | == Overview == | ||
| − | Vast volumes of online information related to news stories, blogs and online social media have an observable effect on investor's opinions towards financial markets. But do these particular information reflect or impact people's decision-making in investment? This paper investigates whether data generated from Internet usage can be used to predict the movements in the financial market. Authors provide evidence that data on how often a company's Wikipedia page is being viewed is linked to its subsequent performance in the stock market. Authors then develop a portfolio in line with the Wikipedia usages and demonstrate that investment strategy based on Wikipedia views is profitable both financially and statistically. Authors finding implies that online web data such as Wikipedia presents an alternative insights on collecting and quantifying investor's sentiments towards financial markets, which can be further employed as a timely approximation of investor's behaviours in decision-making. | + | Vast volumes of online information related to news stories, blogs and online social media have an observable effect on investor's opinions towards financial markets. But do these particular information reflect or impact people's decision-making in investment? This paper investigates whether data generated from Internet usage can be used to predict the movements in the financial market. Authors provide evidence that data on how often a company's [[Wikipedia]] page is being viewed is linked to its subsequent performance in the stock market. Authors then develop a portfolio in line with the Wikipedia usages and demonstrate that investment strategy based on Wikipedia views is profitable both financially and statistically. Authors finding implies that online web data such as Wikipedia presents an alternative insights on collecting and quantifying investor's sentiments towards financial markets, which can be further employed as a timely approximation of investor's behaviours in decision-making. |
Revision as of 09:45, 12 August 2019
Wikipedia and Stock Return: Wikipedia Usage Pattern Helps to Predict the Individual Stock Movement - scientific work related to Wikipedia quality published in 2016, written by Pengyu Wei and Ning Wang.
Overview
Vast volumes of online information related to news stories, blogs and online social media have an observable effect on investor's opinions towards financial markets. But do these particular information reflect or impact people's decision-making in investment? This paper investigates whether data generated from Internet usage can be used to predict the movements in the financial market. Authors provide evidence that data on how often a company's Wikipedia page is being viewed is linked to its subsequent performance in the stock market. Authors then develop a portfolio in line with the Wikipedia usages and demonstrate that investment strategy based on Wikipedia views is profitable both financially and statistically. Authors finding implies that online web data such as Wikipedia presents an alternative insights on collecting and quantifying investor's sentiments towards financial markets, which can be further employed as a timely approximation of investor's behaviours in decision-making.
