Big Data and the Dot Com Bubble

James Cicon


I develop a big-data model which predicts dot-com market behavior. My model also predicts the dot-com collapse three months prior to its occurrence. My model differs from others that fail to explain the dot-com market in three ways. First it uses an objective machine driven methodology to analyze media news stories. Second, it treats news articles as complex multi-thematic constructs. Third it requires that news stories mention the firm in its headline. I submit that these three factors enable my model to explain dot-com market behavior where other models fail to do so.

Full Text:



International Journal of Economics and Finance  ISSN  1916-971X (Print) ISSN  1916-9728 (Online)

Copyright © Canadian Center of Science and Education

To make sure that you can receive messages from us, please add the '' domain to your e-mail 'safe list'. If you do not receive e-mail in your 'inbox', check your 'bulk mail' or 'junk mail' folders.