Tag Archive for: EDGAR

New RaptorXML scripts added: XBRL.US DQC Rules, EFM v35, and EBA Filing Rules


Altova is a member of XBRL.US and has recently joined the XBRL US Center for Data Quality to support the Data Quality Committee’s initiative to address the public’s concerns about the quality and usability of XBRL financial data filed with the SEC.

As such, we are pleased to announce that we have just released a new set of EDGAR Tools for RaptorXML+XBRL Server on GitHub. These new Python scripts for RaptorXML+XBRL Server now support validation against the new Edgar Filer Manual (EFM) version 35, as well as implementing all the Approved DQC Guidance and Validation Rules from XBRL.US.

Data Quality DQC

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XBRL Data Quality of SEC Filings in EDGAR


For fundamental investors probably the most important financial information to study are the financial reports from companies that they wish to potentially invest in. For publicly traded companies in the US, the SEC regulates what data needs to be reported and at which frequency, and investors typically access those financial reports through their own brokerage firm’s website, or through publicly available databases from other Internet providers. In addition, all the original filings from all companies are also directly available from the SEC in the EDGAR database. In addition to HTML and PDF versions of those financial reports, the EDGAR database also contains XBRL versions of those company filings since 2007, with the intent of making this data more easily comparable and directly consumable by computer programs for further analysis.

At least that is the goal…

In this article we’re going to look at some issues with the XBRL data quality of company filings in the SEC’s EDGAR database and show the surprising lack of correlation of high-level financial data extracted from the XBRL filings with publicly available financial data about US companies provided, e.g., by Yahoo Finance, Google Finance, and Fidelity Investments, as well as the shocking discrepancies found in the data reported by those separate services amongst one another.

Edgar_Validation

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Foolproof, Fast, and Flexible XML Validation Options


The most recent few releases of XMLSpy included some pretty powerful speed increases for validations jobs, achieved by strengthening synergy between Altova products. Now, developers using XMLSpy can take advantage of RaptorXML Servers installed on their network for the processing of large or complex XML, XBRL, and project-based validation jobs – directly inside the XML editor.

raptorxml

The XML validator in XMLSpy is powered by the Altova RaptorXML validation engine, which already provides the closest possible standards conformance coupled with fast validation speeds. However, the validation rates achieved are still limited to single-core execution on the CPU available in the developer’s machine.  RaptorXML Server, on the other hand, benefits from the substantial increase in processing power afforded by multi-CPU, multi-core servers for increased throughput and more efficient memory utilization.

What does this mean for you? Let’s take a look at some of the advantages of connecting XMLSpy to RaptorXML Server.
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