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Contribution Details
| Type | Journal Article |
| Scope | Discipline-based scholarship |
| Title | Emotions Matter - Sentiment and Momentum in FX |
| Organization Unit | |
| Authors |
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| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Journal Title | Journal of Behavioral Finance |
| Publisher | Taylor & Francis |
| Geographical Reach | international |
| ISSN | 1542-7560 |
| Volume | 18 |
| Number | 3 |
| Page Range | 249 - 257 |
| Date | 2017 |
| Abstract Text | We introduce news sentiment as a variable that can explain and predict subsequent changes in the USD/EUR exchange rate, and therefore close a gap in the foreign exchange literature. By applying the concept of frequency ltering from the domain of electrical engineering, we show an innovative way of ltering for noise in both news sentiment, but also in price momentum. We nd that news sentiment is not correlated to price momentum, and that trading strategies based on news sentiment achieve around twice as high information ratios (up to 0.9) than with trading strategies based on price momentum. |
| Digital Object Identifier | 10.1080/15427560.2017.1332061 |
| Other Identification Number | merlin-id:13900 |
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