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

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  • Gram, Dennis
  • Karapanagiotis, Pantelis
  • Krzyzanowski, Jan
  • Liebald, Marius
  • Walz, Uwe

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.

Suggested Citation

  • Gram, Dennis & Karapanagiotis, Pantelis & Krzyzanowski, Jan & Liebald, Marius & Walz, Uwe, 2021. "An extensible model for historical financial data with an application to German company and stock market data," SAFE Working Paper Series 300, Leibniz Institute for Financial Research SAFE.
    • Handle: RePEc:zbw:safewp:300
    DOI: 10.2139/ssrn.3770607
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    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access

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