We present an enterprise design pattern for managing metadata in support of financial analytics packages. The complexity of financial modelling typically requires deployment of multiple financial analytics packages, drawing data from multiple source systems. Business domain experts are typically needed to understand the data requirements of these packages. Financial product innovation and research advances imply that data requirements are chronically unstable. These forces of complexity and instability motivate a software architecture that exposes financial metadata declaratively, thus allowing on-the-fly metadata modifications by domain experts, without provoking a costly design-develop-test-deploy life cycle.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Publisher Info
Article provided by Taylor and Francis Journals in its journal Quantitative Finance.