OpenEDGAR: Open Source Software for SEC EDGAR Analysis is published in MIT Computational Law Report

Today our Paper – “OpenEDGAR: Open Source Software for SEC EDGAR Analysis” was published in MIT Computational Law Report.

ABSTRACT:  OpenEDGAR is an open source Python framework designed to rapidly construct research databases based on the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system operated by the US Securities and Exchange Commission (SEC). OpenEDGAR is built on the Django application framework, supports distributed compute across one or more servers, and includes functionality to (i) retrieve and parse index and filing data from EDGAR, (ii) build tables for key metadata like form type and filer, (iii) retrieve, parse, and update CIK to ticker and industry mappings, (iv) extract content and metadata from filing documents, and (v) search filing document contents. OpenEDGAR is designed for use in both academic research and industrial applications, and is distributed under MIT License at https://github.com/LexPredict/openedgar

OpenEDGAR: Open Source Software for SEC EDGAR Analysis (Michael Bommarito, Daniel Martin Katz & Eric Detterman)

Our next paper — OpenEDGAR – Open Source Software for SEC Edgar Analysis is now available.  This paper explores a range of #OpenSource tools we have developed to explore the EDGAR system operated by the US Securities and Exchange Commission (SEC).  While a range of more sophisticated extraction and clause classification protocols can be developed leveraging LexNLP and other open and closed source tools, we provide some very simple code examples as an illustrative starting point.

Click here for Paper:   < SSRN > < arXiv >
Access Codebase Here: < Github >

Abstract
OpenEDGAR is an open source Python framework designed to rapidly construct research databases based on the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system operated by the US Securities and Exchange Commission (SEC). OpenEDGAR is built on the Django application framework, supports distributed compute across one or more servers, and includes functionality to (i) retrieve and parse index and filing data from EDGAR, (ii) build tables for key metadata like form type and filer, (iii) retrieve, parse, and update CIK to ticker and industry mappings, (iv) extract content and metadata from filing documents, and (v) search filing document contents. OpenEDGAR is designed for use in both academic research and industrial applications, and is distributed under MIT License at https://github.com/LexPredict/openedgar

Senate Cryptocurrency Hearing Strikes a Cautiously Optimistic Tone (via TechCrunch)

Meanwhile Goldman suggests it all might be going to zero or better stated “most cryptocurrencies will ultimately fall to zero as current iterations are ‘too primitive’ to be viable in the long term.”   There is merit to the Goldman view – I would say the question to focus upon is what is actually going to persist here -for us the key is probably helping incumbents learn how to incorporate crypto tech into their respective business models.

The 2017 Fin Legal Tech Conference @ Illinois Tech – Chicago Kent College of Law (Sign Up for a Free Ticket Today)

The Law Lab at Illinois Tech – Chicago-Kent College of Law presents its second Fin(Legal)Tech Conference on October 19, 2017.  Continuing its legacy as an academic leader in legal technology and innovation, Chicago-Kent will bring together a wide-ranging group of industry leaders for a truly unique conference experience. Attendance is FREE but registration is required! Sign up for a FREE Ticket Today.

Thanks to Chapman and Cutler for helping sponsor the event!

Digital Coins Are So Hot, Startups Are Selling Them Like an IPO (via Bloomberg)


ICO vs IPO … ICO’s are So Hot – “ICOs may seem to fall into a legal gray area, but she says the vast majority of tokens count as securities, and if they are sold to investors in the U.S., they fall under the jurisdiction of the Securities and Exchange Commission … The SEC has yet to wade in, but the hotter the ICO market, the greater the potential for abuse or investor losses that could spur the agency to act. Channing suspects the regulators are waiting for the right case.”

Law on the Market? Abnormal Stock Returns and Supreme Court Decision-Making (Version 2.01 on arXiv)


Here is Version 2.01 of the Law on the Market Paper
From the AbstractWhat happens when the Supreme Court of the United States decides a case impacting one or more publicly-traded firms? While many have observed anecdotal evidence linking decisions or oral arguments to abnormal stock returns, few have rigorously or systematically investigated the behavior of equities around Supreme Court actions. In this research, we present the first comprehensive, longitudinal study on the topic, spanning over 15 years and hundreds of cases and firms. Using both intra- and interday data around decisions and oral arguments, we evaluate the frequency and magnitude of statistically-significant abnormal return events after Supreme Court action. On a per-term basis, we find 5.3 cases and 7.8 stocks that exhibit abnormal returns after decision. In total, across the cases we examined, we find 79 out of the 211 cases (37%) exhibit an average abnormal return of 4.4% over a two-session window with an average |t|-statistic of 2.9. Finally, we observe that abnormal returns following Supreme Court decisions materialize over the span of hours and days, not minutes, yielding strong implications for market efficiency in this context. While we cannot causally separate substantive legal impact from mere revision of beliefs, we do find strong evidence that there is indeed a “law on the market” effect as measured by the frequency of abnormal return events, and that these abnormal returns are not immediately incorporated into prices.