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Sinopsis
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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Reseña del editor
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
- EditorialAV Akademikerverlag
- Año de publicación2015
- ISBN 10 3639844769
- ISBN 13 9783639844764
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas116
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Financial Correlation Modelling Using News and Social Media Data
Publicado por
AV Akademikerverlag Jul 2015, 2015
ISBN 10: 3639844769
ISBN 13: 9783639844764
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783639844764
Cantidad disponible: 2 disponibles
Imagen del vendedor
Financial Correlation Modelling Using News and Social Media Data
Publicado por
AV Akademikerverlag, 2015
ISBN 10: 3639844769
ISBN 13: 9783639844764
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783639844764
Cantidad disponible: 1 disponibles
Imagen del vendedor
Financial Correlation Modelling Using News and Social Media Data
Publicado por
AV Akademikerverlag, 2015
ISBN 10: 3639844769
ISBN 13: 9783639844764
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 4 de 5 estrellas
Condición: 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. Nº de ref. del artículo: 157929115
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Financial Correlation Modelling Using News and Social Media Data
Publicado por
AV Akademikerverlag Jul 2015, 2015
ISBN 10: 3639844769
ISBN 13: 9783639844764
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783639844764
Cantidad disponible: 2 disponibles