“SeekEdgar is the best among all the interfaces I have used to search information in SEC filings in terms of efficiency and flexibility.”
— Dr. Qin Tan, Yale University (Currently at City University of Hong Kong)

         

  

We Offer:

  • Cloud Technology

  • Cost Effective Solutions for Research

  • Access to 20 million SEC Filings and PCAOB Reports, and 37 Million Documents, updated daily

  • Access to Financial and Non-financial information

  • Custom Data Collection

  • Examples with Videos

You Get:

  • Search Results in Seconds — Anytime, Anywhere

  • Results by Phrase, Paragraph, Table, Footnote

  • Results by MD&A, Audit Report, SOX 404 Reports

  • Unsurpassed Text Mining and Analysis, and Data Extraction

Even More Benefits:

  • No Software to Learn or Programming to Do

  • Guidance on How to Setup Specific Search Logic

  • User’s Guide with Examples

  • Customized Consulting

  • Free Webinars > Register

  • Informative Newsletters

  • Time to Be Creative

SEEKiNF LOGO

SeekiNF(Search Engine to Extract Knowledge from Industry Filings) is a cloud-based technology that provides searchable interface within different levels of resolutions in SEC filings. SeekiNF allows users to search for financial and non-financial information based on user specified search strings from the various SEC filings and PCAOB Inspection Reports from 1994-2023 with daily updates. It has around 20 million SEC filings and 37 million documents in its database spread over 30 years. SeekiNF provides tremendous opportunities for gathering information related to accounting, finance, marketing, tax, law, etc. to conduct research and develop various risk assessment models including financial risk and fraud risk using financial and non-financial information. In short, SeekiNF is a Complete System, Second to None with its own Database and Incredible Search Engine.

 

Four Dimensions of SeekiNF

  1. Search: Search for specific issues/concerns in SEC Filings and PCAOB Inspection Reports in seconds (e.g., which companies are involved in litigation, patent infringement, wrongful termination, or mentioning "we may never be profitable" in their annual report, etc.)
  2. Obtain: Obtain information/data not available from any source. Examples: executives bios and compensation, business address, fiscal year end, Tax ID, State of Incorporation, audit committee members, unique balance sheet items, etc.
  3. Perform: Perform textual analyses of all 37 million documents in no time with built-in features (e.g., Word counter, Sentence counter, Proximity Counter with order, Word distribution for multiple years, six readability indices, Seven Risk Sentiment Metrics (RS): Feng Li RS, Financial Risk, Litigation Risk, Tax Risk, Systematic Risk, Idiosyncratic Risk, and Overall Risk), and Cosine and Vector Similarity Metrics (Vector Similarity Metric is a superior measure of similarity for documents as demonstrated by Dr. R. Srivastava in his paper in JETA 2023) for the same company or two different companies for almost all the filings.
  4. Download: Download all the searched data in HTML and Excel Files on your system for your future reference and analyses.

CONGRATULATIONS to the authors of publications as listed here that

have used data from SeekEdgar. Click here for complete list.
 
  • 2022. The Accounting Review. Managers' strategic use of concurrent disclosure: Evidence from 8-K filings and press releases., C Rawson, B Twedt, J Watkins.

  • 2022. The Accounting Review. Policeman for the World: The Impact of Extraterritorial FCPA Enforcement on Foreign Investment and Internal Controls. , Hans B. Christensen; Mark G. Maffett, Thomas Rauter.

  • 2022. The Accounting Review. Banking Market Consolidation and Tax Planning Intermediation: Evidence from Client Firm Tax Haven Operations, JB Kim, Y Lin, Y Mao, Z Wang.
  • 2022. Management Science. The Opposing Effects of Complexity and Information Content on Uncertainty Dynamics: Evidence from 10-K Filings., JW Bae, F Belo, J Li, X Lin, X Zhao

  • 2022. Management Science. . The Effect of Significant IPO Firms on Industry Incumbents: Evidence from Tax Planning., by James Chyz, Erin Henry, Thomas Omer, and Biyu Wu.

  • 2022. Management Science. Mimicking tax strategies: Evidence from IPOs., J Chyz, E Henry, TC Omer, B Wu.

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