Notice: This wiki was archived in July 2020. All Security Reference Data project collaboration activities, including meeting minutes, are now hosted on the SecRef Data GitHub repo. |
The applicability and actionability of data driven insights in financial services is often a function of how quickly and easily different datasets for analysis can be brought together into a unified set of data for subsequent analysis. Merging data, especially data associated with various financial securities, is often made more difficult than it should be due to lack of public, common, industry accepted master identifiers with a canonical mapping to other IDs for the security as used in specific data provider systems, often proprietary. This can also cause issues throughout the trade lifecycle, from pre-trade to settlement. The lack of clean, shareable data means institutions must develop their own repositories mapping securities reference data, which is extremely duplicative, does not offer a proprietary advantage, is difficult to maintain individually and can be damaging if incorrect.
The intention of the Securities Reference Data project is to address this by developing a public master record - a “golden source” of sorts - that maps symbols (securities identifiers) from a wide range of market sources. Initial project goals include:
@
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Name | Role | Notes |
---|---|---|
Sailesh Pandey (Nomura) | Chair |
The Project was approved by the PMC on 2018-11-05. |