德国历史企业财务数据库的设计与实现

Dennis Gram, Pantelis Karapanagiotis, Marius Liebald, U. Walz
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引用次数: 0

摘要

广泛、长期的金融和经济数据集是稀缺资源,在欧洲尤其如此。在本文中,我们提出了一种可扩展数据模型的方法,该方法可以适应技术和数据源的未来变化。该模型可以构成不同司法管辖区和时期的数字化和结构化长期历史数据集的基础。该数据模型涵盖了历史金融和经济数据的特定特性,并且足够灵活,可以涵盖来自不同历史来源的不同类型(定量和定性)数据,从而实现可扩展性。此外,我们根据1920年至1932年的历史德国公司和股票市场数据,概述了这种方法的关系实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Implementation of a Historical German Firm-level Financial Database
Broad, long-term financial, and economic datasets are scarce resources, particularly in the European context. In this article, we present an approach for an extensible data model that is adaptable to future changes in technologies and sources. This model may constitute a basis for digitized and structured long-term historical datasets for different jurisdictions and periods. The data model covers the specific peculiarities of historical financial and economic data and is flexible enough to reach out for data of different types (quantitative as well as qualitative) from different historical sources, hence, achieving extensibility. Furthermore, we outline a relational implementation of this approach based on historical German firm and stock market data from 1920 to 1932.
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