意大利证券交易所发布的市场公告:选择相关公告的机器学习方法

Paolo Massaro, Marta Bernardini, F. Pepe, Francesco Tocco
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引用次数: 1

摘要

意大利银行的数据经理检查意大利证券交易所(Borsa Italiana)每天发布的市场通知,并选择感兴趣的通知来更新意大利银行的证券数据库。如果数据管理人员忽略了相关通知,该活动既耗时又容易出错。本文描述了一种监督式市场通知自动选择模型的实现。该模型优于数据管理人员使用的手动方法,因此可以在定期更新证券数据库的过程中实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Market Notices Published by the Italian Stock Exchange: A Machine Learning Approach for the Selection of the Relevant Ones
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.
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