Items where Author is "Bormetti, Giacomo"
Number of items: 7. BoZhou, Wei-Xing and Ranco, Gabriele and Bordino, Ilaria and Bormetti, Giacomo and Caldarelli, Guido and Lillo, Fabrizio and Treccani, Michele Coupling News Sentiment with Web Browsing Data Improves Prediction of Intra-Day Price Dynamics. PLOS ONE, 11 (1). e0146576. ISSN 1932-6203 (2016) Zhou, Wei-Xing and Ranco, Gabriele and Bordino, Ilaria and Bormetti, Giacomo and Caldarelli, Guido and Lillo, Fabrizio and Treccani, Michele Coupling News Sentiment with Web Browsing Data Improves Prediction of Intra-Day Price Dynamics. PLOS ONE, 11 (1). e0146576. ISSN 1932-6203 (2016) CaZhou, Wei-Xing and Ranco, Gabriele and Bordino, Ilaria and Bormetti, Giacomo and Caldarelli, Guido and Lillo, Fabrizio and Treccani, Michele Coupling News Sentiment with Web Browsing Data Improves Prediction of Intra-Day Price Dynamics. PLOS ONE, 11 (1). e0146576. ISSN 1932-6203 (2016) LiZhou, Wei-Xing and Ranco, Gabriele and Bordino, Ilaria and Bormetti, Giacomo and Caldarelli, Guido and Lillo, Fabrizio and Treccani, Michele Coupling News Sentiment with Web Browsing Data Improves Prediction of Intra-Day Price Dynamics. PLOS ONE, 11 (1). e0146576. ISSN 1932-6203 (2016) RaZhou, Wei-Xing and Ranco, Gabriele and Bordino, Ilaria and Bormetti, Giacomo and Caldarelli, Guido and Lillo, Fabrizio and Treccani, Michele Coupling News Sentiment with Web Browsing Data Improves Prediction of Intra-Day Price Dynamics. PLOS ONE, 11 (1). e0146576. ISSN 1932-6203 (2016) TrZhou, Wei-Xing and Ranco, Gabriele and Bordino, Ilaria and Bormetti, Giacomo and Caldarelli, Guido and Lillo, Fabrizio and Treccani, Michele Coupling News Sentiment with Web Browsing Data Improves Prediction of Intra-Day Price Dynamics. PLOS ONE, 11 (1). e0146576. ISSN 1932-6203 (2016) ZhZhou, Wei-Xing and Ranco, Gabriele and Bordino, Ilaria and Bormetti, Giacomo and Caldarelli, Guido and Lillo, Fabrizio and Treccani, Michele Coupling News Sentiment with Web Browsing Data Improves Prediction of Intra-Day Price Dynamics. PLOS ONE, 11 (1). e0146576. ISSN 1932-6203 (2016) |