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https://doi.org/10.21256/zhaw-18487| Publikationstyp: | Beitrag in wissenschaftlicher Zeitschrift |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | Sentiment analysis of European bonds 2016 - 2018 |
| Autor/-in: | Schwendner, Peter Schüle, Martin Hillebrand, Martin |
| et. al: | No |
| DOI: | 10.3389/frai.2019.00020 10.21256/zhaw-18487 |
| Erschienen in: | Frontiers in Artificial Intelligence |
| Band(Heft): | 2 |
| Heft: | 20 |
| Erscheinungsdatum: | 2019 |
| Verlag / Hrsg. Institution: | Frontiers Research Foundation |
| ISSN: | 2624-8212 |
| Sprache: | Englisch |
| Schlagwörter: | Sovereign bond; Contagion; Sentiment; European sovereign bond crisis; Correlation influence; Correlation; Network |
| Fachgebiet (DDC): | 332.6: Investition |
| Zusammenfassung: | We revisit the discussion of market sentiment in European sovereign bonds using a correlation analysis toolkit based on influence networks and hierarchical clustering. We focus on three case studies of political interest. In the case of the 2016 Brexit referendum, the market showed negative correlations between core and periphery only in the week before the referendum. Before the French presidential elections in 2017, the French bond spread widened together with the estimated Le Pen election probability, but the position of French bonds in the correlation blocks did not weaken. In summer 2018, during the budget negotiations within the new Italian coalition, the Italian bonds reacted very sensitively to changing political messages but did not show contagion risk to Spain or Portugal for several months. The situation changed during the week from October 22 to 26, as a spillover pattern of negative sentiment also to the other peripheral countries emerged. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/18487 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | CC BY 4.0: Namensnennung 4.0 International |
| Departement: | Life Sciences und Facility Management School of Management and Law |
| Organisationseinheit: | Institut für Computational Life Sciences (ICLS) Institut für Wealth & Asset Management (IWA) |
| Enthalten in den Sammlungen: | Publikationen Life Sciences und Facility Management |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| 2019_Schwendner_frai-02-00020.pdf | 7.36 MB | Adobe PDF |  Öffnen/Anzeigen |
Zur Langanzeige
Schwendner, P., Schüle, M., & Hillebrand, M. (2019). Sentiment analysis of European bonds 2016 - 2018. Frontiers in Artificial Intelligence, 2(20). https://doi.org/10.3389/frai.2019.00020
Schwendner, P., Schüle, M. and Hillebrand, M. (2019) ‘Sentiment analysis of European bonds 2016 - 2018’, Frontiers in Artificial Intelligence, 2(20). Available at: https://doi.org/10.3389/frai.2019.00020.
P. Schwendner, M. Schüle, and M. Hillebrand, “Sentiment analysis of European bonds 2016 - 2018,” Frontiers in Artificial Intelligence, vol. 2, no. 20, 2019, doi: 10.3389/frai.2019.00020.
SCHWENDNER, Peter, Martin SCHÜLE und Martin HILLEBRAND, 2019. Sentiment analysis of European bonds 2016 - 2018. Frontiers in Artificial Intelligence. 2019. Bd. 2, Nr. 20. DOI 10.3389/frai.2019.00020
Schwendner, Peter, Martin Schüle, and Martin Hillebrand. 2019. “Sentiment Analysis of European Bonds 2016 - 2018.” Frontiers in Artificial Intelligence 2 (20). https://doi.org/10.3389/frai.2019.00020.
Schwendner, Peter, et al. “Sentiment Analysis of European Bonds 2016 - 2018.” Frontiers in Artificial Intelligence, vol. 2, no. 20, 2019, https://doi.org/10.3389/frai.2019.00020.
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