Predicting stock market movements using network science: an information theoretic approach
Abstract A stock market is considered as one of the highly complex systems, which consists of many components whose prices move up and down without having a clear pattern. The complex nature of a stock market challenges us on making a reliable prediction of its future movements. In this paper, we ai...
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| Principais autores: | , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
SpringerOpen
2017-10-01
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| Serier: | Applied Network Science |
| Fag: | |
| Online adgang: | http://link.springer.com/article/10.1007/s41109-017-0055-y |
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