NL Analytics docs
  • Welcome
  • Our platform
    • Overview
    • Keyword Tool
    • Risk Tool
      • Search earnings calls
      • Search history
      • Merge searches
    • Snippet Tool
  • Research and publications
    • Recent research
    • Academic foundations
  • Help & FAQ
    • Get Help
    • FAQ: General
      • How often do you update the earnings calls data?
      • What languages are covered in your earnings call data?
      • What is the geographic coverage of your earnings call data?
      • How is capitalization handled?
      • How are plural nouns handled?
    • FAQ: Risk Tool
      • Why do I have zero entries in my data?
      • How are Exposure, Risk, and Sentiment defined?
      • What is the "Overall risk and sentiment" file in the output of the Risk Tool?
      • How long do you retain searches?
      • What is the crosswalk to GVKey in the output of the Risk Tool?
      • How can I optimize the speed of the Risk Tool?
      • How are the various variables defined?
    • FAQ: Keyword Tool
      • Does the Keyword Tool take into account feedback by way of rejecting a term?
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Welcome

NL Analytics is a platform to interact with text-based corporate disclosures.

Last updated 4 months ago

We want to help researchers and analysts to obtain insights about the economy from text-based corporate disclosures with a simple but powerful platform.

Our platform is designed to intuitively interact with text-based corporate disclosures - from to associated with the topic to about the topic directly from the text.

At its core is a search engine that can provide answers to questions such as: Which companies have positive sentiment about the current inflation? What is the risk that executives associate with a country over time? How does the risk related to Russia's invasion of Ukraine compare with the risk related to supply chains?

As of 2024, our text data consists of more than 390,000 earnings calls held by about 14,000 listed firms headquartered in over 82 countries.

It is built on our founders' peer-reviewed research in top economics and finance journals including The Quarterly Journal of Economics, The Journal of Finance, and The Review of Economic Studies.

It is designed to break down the barriers in working with text-based data; no prior knowledge in Python or other programming languages is needed to use our platform's capabilities.

Get Started

creating a topic
quantifying firms' exposure, sentiment, and risk
obtaining targeted insights

Learn what our platform can do

Learn about research with NL Analytics

Get help or read our frequently asked questions

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