Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Schwendner, Peter | - |
dc.contributor.author | Schüle, Martin | - |
dc.contributor.author | Hillebrand, Martin | - |
dc.date.accessioned | 2019-07-31T14:56:46Z | - |
dc.date.available | 2019-07-31T14:56:46Z | - |
dc.date.issued | 2019 | - |
dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/17836 | - |
dc.description.abstract | European sovereign bonds are especially sensitive to the political news flow. Consistent to the current sentiment, market makers adjust factor models in their quotation systems to be prepared for short-term market reactions in the most liquid instruments. We present a correlation influence network case study to make the signs of these factor betas transparent using intraday data analysis. This shows the sentiment of the most active market participants. | de_CH |
dc.language.iso | en | de_CH |
dc.rights | Licence according to publishing contract | de_CH |
dc.subject.ddc | 332.6: Investition | de_CH |
dc.title | Correlation influence networks for sentiment analysis in European sovereign bonds | de_CH |
dc.type | Konferenz: Sonstiges | de_CH |
dcterms.type | Text | de_CH |
zhaw.departement | School of Management and Law | de_CH |
zhaw.organisationalunit | Institut für Wealth & Asset Management (IWA) | de_CH |
zhaw.conference.details | Financial Revolution - Sentiment Analysis, AI and Machine Learning, London, United Kingdom, 25-26 June 2019 | de_CH |
zhaw.funding.eu | No | de_CH |
zhaw.originated.zhaw | Yes | de_CH |
zhaw.publication.status | publishedVersion | de_CH |
zhaw.publication.review | Keine Begutachtung | de_CH |
zhaw.author.additional | No | de_CH |
Appears in collections: | Publikationen School of Management and Law |
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Schwendner, P., Schüle, M., & Hillebrand, M. (2019). Correlation influence networks for sentiment analysis in European sovereign bonds. Financial Revolution - Sentiment Analysis, AI and Machine Learning, London, United Kingdom, 25-26 June 2019.
Schwendner, P., Schüle, M. and Hillebrand, M. (2019) ‘Correlation influence networks for sentiment analysis in European sovereign bonds’, in Financial Revolution - Sentiment Analysis, AI and Machine Learning, London, United Kingdom, 25-26 June 2019.
P. Schwendner, M. Schüle, and M. Hillebrand, “Correlation influence networks for sentiment analysis in European sovereign bonds,” in Financial Revolution - Sentiment Analysis, AI and Machine Learning, London, United Kingdom, 25-26 June 2019, 2019.
SCHWENDNER, Peter, Martin SCHÜLE und Martin HILLEBRAND, 2019. Correlation influence networks for sentiment analysis in European sovereign bonds. In: Financial Revolution - Sentiment Analysis, AI and Machine Learning, London, United Kingdom, 25-26 June 2019. Conference presentation. 2019
Schwendner, Peter, Martin Schüle, and Martin Hillebrand. 2019. “Correlation Influence Networks for Sentiment Analysis in European Sovereign Bonds.” Conference presentation. In Financial Revolution - Sentiment Analysis, AI and Machine Learning, London, United Kingdom, 25-26 June 2019.
Schwendner, Peter, et al. “Correlation Influence Networks for Sentiment Analysis in European Sovereign Bonds.” Financial Revolution - Sentiment Analysis, AI and Machine Learning, London, United Kingdom, 25-26 June 2019, 2019.
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