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This thesis compares the performance of various models that measure the relationship between news and stock price correlations. These models are analysed when they are applied on the different datasets. One dataset contains social media news while the other dataset contains news flows provided by Thomson Reuters. These datasets have consequently different characteristics. Social media news are much more dynamic, since it allows a wide range of audience an easy and fast access to gain and share information. On the other hand the news flow doesn't spread as widely and quickly as the social media news flow. As a result of the different characteristics of these datasets, there is not one overall best performing model but one best performing model for each dataset.
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- EditoreVDM Verlag
- Data di pubblicazione2015
- ISBN 10 3639844769
- ISBN 13 9783639844764
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero di pagine116
- Contatto del produttorenon disponibile
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Financial Correlation Modelling Using News and Social Media Data
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Satilmis CerenCeren Satilmis studied BA Banking and Finance at University of Zurich. After she worked in a private asset management company in Pfaeffikon, Switzerland, she enrolled into the masters program at University of Zurich. Codice articolo 157929115
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Financial Correlation Modelling Using News and Social Media Data
Editore:
AV Akademikerverlag Jul 2015, 2015
ISBN 10: 3639844769
ISBN 13: 9783639844764
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This thesis compares the performance of various models that measure the relationship between news and stock price correlations. These models are analysed when they are applied on the different datasets. One dataset contains social media news while the other dataset contains news flows provided by Thomson Reuters. These datasets have consequently different characteristics. Social media news are much more dynamic, since it allows a wide range of audience an easy and fast access to gain and share information. On the other hand the news flow doesn't spread as widely and quickly as the social media news flow. As a result of the different characteristics of these datasets, there is not one overall best performing model but one best performing model for each dataset. 116 pp. Englisch. Codice articolo 9783639844764
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Financial Correlation Modelling Using News and Social Media Data
Print on DemandDa: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This thesis compares the performance of various models that measure the relationship between news and stock price correlations. These models are analysed when they are applied on the different datasets. One dataset contains social media news while the other dataset contains news flows provided by Thomson Reuters. These datasets have consequently different characteristics. Social media news are much more dynamic, since it allows a wide range of audience an easy and fast access to gain and share information. On the other hand the news flow doesn't spread as widely and quickly as the social media news flow. As a result of the different characteristics of these datasets, there is not one overall best performing model but one best performing model for each dataset. Codice articolo 9783639844764
Quantità: 1 disponibili
Immagini fornite dal venditore
Financial Correlation Modelling Using News and Social Media Data
Editore:
AV Akademikerverlag Jul 2015, 2015
ISBN 10: 3639844769
ISBN 13: 9783639844764
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Neuware -This thesis compares the performance of various models that measure the relationship between news and stock price correlations. These models are analysed when they are applied on the different datasets. One dataset contains social media news while the other dataset contains news flows provided by Thomson Reuters. These datasets have consequently different characteristics. Social media news are much more dynamic, since it allows a wide range of audience an easy and fast access to gain and share information. On the other hand the news flow doesn¿t spread as widely and quickly as the social media news flow. As a result of the different characteristics of these datasets, there is not one overall best performing model but one best performing model for each dataset.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch. Codice articolo 9783639844764
Quantità: 2 disponibili