The market notices published by the Italian Stock Exchange: a machine learning approach for the selection of the relevant ones
Marta Bernardini (),
Paolo Massaro (),
Francesca Pepe () and
Francesco Tocco
Additional contact information
Marta Bernardini: Bank of Italy
Francesca Pepe: Bank of Italy
No 632, Questioni di Economia e Finanza (Occasional Papers) from Bank of Italy, Economic Research and International Relations Area
Abstract:
Bank of Italy data managers check the market notices published daily by the Italian Stock Exchange (Borsa Italiana) and select those of interest to update the Bank of Italy's Securities Database. This activity is time-consuming and prone to errors should a data manager overlook a relevant notice. In this paper we describe the implementation of a supervised model to automatically select the market notices. The model outperforms the manual approach used by data managers and can therefore be implemented in the regular process to update the Securities Database.
Keywords: machine learning; Securities Database; automatic selection; Italian Stock Exchange (search for similar items in EconPapers)
JEL-codes: C18 C81 G23 (search for similar items in EconPapers)
Date: 2021-07
New Economics Papers: this item is included in nep-big, nep-cmp, nep-isf and nep-ore
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.bancaditalia.it/pubblicazioni/qef/2021-0632/QEF_632_21.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bdi:opques:qef_632_21
Access Statistics for this paper
More papers in Questioni di Economia e Finanza (Occasional Papers) from Bank of Italy, Economic Research and International Relations Area Contact information at EDIRC.
Bibliographic data for series maintained by ().