Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/229429
Authors: 
Gram, Dennis
Karapanagiotis, Pantelis
Krzyzanowski, Jan
Liebald, Marius
Walz, Uwe
Year of Publication: 
2021
Series/Report no.: 
SAFE Working Paper No. 300
Abstract: 
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 longterm, 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.
JEL: 
C81
C82
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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