Abstract
We exploit the novel Global Database of Events, Language and Tone (GDELT) to construct news-based financial sentiment measures capturing investor’s opinions for three European countries, Italy, Spain and France. We study whether deterioration in investor’s sentiment implies a rise in interest rates with respect to their German counterparts. Finally, we look at the link between agents’ sentiment and their portfolio exposure on the Italian, French and Spanish markets.
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Tiozzo Pezzoli, L., Consoli, S., Tosetti, E. (2020). Big Data Financial Sentiment Analysis in the European Bond Markets. In: Bitetta, V., Bordino, I., Ferretti, A., Gullo, F., Pascolutti, S., Ponti, G. (eds) Mining Data for Financial Applications. MIDAS 2019. Lecture Notes in Computer Science(), vol 11985. Springer, Cham. https://doi.org/10.1007/978-3-030-37720-5_10
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DOI: https://doi.org/10.1007/978-3-030-37720-5_10
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