Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Francesco Ravazzolo"'
Autor:
Andrea Fronzetti Colladon, Francesca Grippa, Barbara Guardabascio, Gabriele Costante, Francesco Ravazzolo
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract This research studies the impact of online news on social and economic consumer perceptions through semantic network analysis. Using over 1.8 million online articles on Italian media covering four years, we calculate the semantic importance
Externí odkaz:
https://doaj.org/article/339f9fc90e9f44b88f9f076ab0df34f1
Publikováno v:
Journal of Statistical Software, Vol 68, Iss 1, Pp 1-30 (2015)
This paper presents the MATLAB package DeCo (density combination) which is based on the paper by Billio, Casarin, Ravazzolo, and van Dijk (2013) where a constructive Bayesian approach is presented for combining predictive densities originating from d
Externí odkaz:
https://doaj.org/article/c497288b5456402fb1e7f948a20bb94d
Publikováno v:
Econometrics, Vol 4, Iss 1, p 17 (2016)
Decision-makers often consult different experts to build reliable forecasts on variables of interest. Combining more opinions and calibrating them to maximize the forecast accuracy is consequently a crucial issue in several economic problems. This pa
Externí odkaz:
https://doaj.org/article/f02c0deae48b4ea59f3a8f581a1abbd7
Publikováno v:
Econometrics, Vol 4, Iss 1, p 9 (2016)
Challenging statements have appeared in recent years in the literature on advances in computational procedures.[...]
Externí odkaz:
https://doaj.org/article/a1ada3f5b311423d8bc39b56e7ca38ad
Publikováno v:
International Journal of Forecasting. 39:570-586
The monitoring of the regional (provincial) economic situation is of particular importance due to the high level of heterogeneity and interdependences among different territories. Although econometric models allow for spatial and serial correlation o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f299635c22cf2ff13528ca5a73d7349
Publikováno v:
Energy. 278:127831
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Journal of Forecasting
This paper uses a new textual data index for predicting stock market data. The index is applied to a large set of news to evaluate the importance of one or more general economic-related keywords appearing in the text. The index assesses the importanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff780a1716e5ce4a549e9ffda4d5ab64
https://hdl.handle.net/11391/1537216
https://hdl.handle.net/11391/1537216