An extensible model for historical financial data with an application to german company and stock market data

  • Broad, long-term financial and economic datasets are a scarce resource, in particular in the European context. In this paper, we present an approach for an extensible, i.e. adaptable to future changes in technologies and sources, data model that may constitute a basis for digitized and structured long- term, historical datasets. The data model covers 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, based on historical German company and stock market data, we discuss a relational implementation of this approach.

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Author:Dennis Gram, Pantelis KarapanagiotisORCiDGND, Jan Krzyzanowski, Marius LiebaldORCiD, Uwe WalzORCiDGND
Parent Title (English):SAFE working paper series ; No. 300
Series (Serial Number):SAFE working paper (300)
Place of publication:Frankfurt am Main
Document Type:Working Paper
Year of Completion:2021
Year of first Publication:2021
Publishing Institution:Universit├Ątsbibliothek Johann Christian Senckenberg
Release Date:2021/02/09
Page Number:36
Institutes:Wirtschaftswissenschaften / Wirtschaftswissenschaften
Wissenschaftliche Zentren und koordinierte Programme / House of Finance (HoF)
Wissenschaftliche Zentren und koordinierte Programme / Center for Financial Studies (CFS)
Wissenschaftliche Zentren und koordinierte Programme / Sustainable Architecture for Finance in Europe (SAFE)
Dewey Decimal Classification:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
Licence (German):License LogoDeutsches Urheberrecht