Making Data Analysis with XBRL Easier
A webinar from XBRL US shows the possibilities presented for investors and analysts by XBRL data
For those looking for a demonstration on how analysts, investors, data providers and regulators are easily extracting XBRL-formatted financial fundamentals for analysis, XBRL US held a webinar that walked attendees through how to do just that, along with a discussion about normalized data and a demonstration led by Alex Rapp from Calcbench. You can watch a replay of the webinar here.
The Data Analysis Toolkit featured in the webinar is a set of freely available templates and tools that allow users to perform analysis on any of the data filed by listed companies with the US SEC. Examples for analysis of margins, lease obligations and balance sheet rations are included, in addition to APIs that allow users to extract reported values for XBRL data contained in the XBRL US database. The toolkit is designed to reduce the barriers to entry of using XBRL data for the retail investment community, but is also a great example of the kinds of capabilities that structured data creates.
At XBRL International we’d encourage everyone in our community to see what has been done by our colleagues in the US jurisdiction and to experiment with the Toolkit. Like what you see? Let us know your thoughts.
