BovDB: a data set of stock prices of all companies in B3 from 1995 to 2020

Fabian Corrêa Cardoso, J. Malska, P. Ramiro, Giancarlo Lucca, E. Borges, V. Mattos, R. Berri
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Abstract

Stock markets are responsible for the movement of vast amounts of financial resources worldwide. This market generates a high volume of transaction data, which after being analyzed are very useful for many applications. In this article, we present BovDB, a data set that was built considering a source of the Brazilian Stock Exchange (B3) with information related to the years between 1995 and 2020. We have approached the events’ impact on the stocks byapplying a cumulative factor to correct prices. The results were compared with public data from InfoMoney and BR Investing, showing that our methods, are valid and follow the market standards, based on the proposed factor. BovDBdata set can be used as a benchmark for different applications and it is available in open access for any researcher on GitHub.
BovDB: B3中所有公司1995年至2020年的股价数据集
股票市场负责全球范围内大量金融资源的流动。这个市场产生了大量的交易数据,经过分析后,这些数据对许多应用程序都非常有用。在本文中,我们介绍了BovDB,这是一个考虑巴西证券交易所(B3)的一个来源而构建的数据集,其中包含1995年至2020年之间的相关信息。我们通过应用累积因子来修正价格,来处理这些事件对股票的影响。结果与InfoMoney和BR Investing的公开数据进行了比较,表明我们的方法是有效的,并且基于所提出的因素遵循市场标准。BovDBdata集可以用作不同应用程序的基准,并且可以在GitHub上对任何研究人员开放访问。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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