Abstract
We focus on predicting the movement of the MSCI EURO index based on European Central Bank (ECB) statements. For this purpose we learn and extract fuzzy
grammars from the text of the ECB statements. Based on a set of selected General Inquirer (GI) categories, the extracted fuzzy grammars are grouped around individual content categories. The frequency at which these fuzzy grammars are encountered
in the text constitute input to a Fuzzy Inference System (FIS). The FIS maps these frequencies to the levels of the MSCI EURO index. Ultimately, the goal is to predict whether the MSCI EURO index will exhibit upward or downward movement based on the content of ECB statements, as quantified through the use of fuzzy grammars and GI content categories.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International Conference of Soft Computing and Pattern Recognition, 7-10 December 2010, Cergy Pontoise, Paris, |
| Editors | T. Martin, A.K. Muda, A. Abraham |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 231-236 |
| ISBN (Print) | 978-1-4244-7895-8 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | conference; 2010 International Conference of Soft Computing and Pattern Recognition; 2010-12-07; 2010-12-10 - Duration: 7 Dec 2010 → 10 Dec 2010 |
Conference
| Conference | conference; 2010 International Conference of Soft Computing and Pattern Recognition; 2010-12-07; 2010-12-10 |
|---|---|
| Period | 7/12/10 → 10/12/10 |
| Other | 2010 International Conference of Soft Computing and Pattern Recognition |
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