Sample
· This service provides a search
interface on COVID-19 related discussions between company executives and stock
analysts at earnings conference calls.
· The data consist of 16,146 text
excerpts around the mentions of “covid” in the
conference transcripts.
· References to COVID-19 are made
during presentation (9,917) and Q&A (6,229) sessions of the conference call.
· The data period is May 7th to May 15th, 2020. Despite the
short period, the sample covers conference calls for over 1,500 companies around
the world.
Search:
· The underlying search engine is
based on Azure
Cognitive Search
· For example, earnings+(EBITDA|EPS) will search for documents containing the "earnings" term and either "EBITDA" or "EPS" (or both).
· Other options include wildcard and
phrase searches
· All entries for a particular event
can be found using a phrase search on the event name (“Q1 2020 CRYOPORT INC
EARNINGS CALL”)
Sort & Filter:
· The left-hand-side panels provides
options for the sorting and filtering the results.
· The default sort is
based on CovidScore, which measures the
COVID-19 relevance of the conference call based on the total number of COVID-19
mentions.
· Other sorting options include date, event
name, speaker succession, and relevance of the queried keyword(s).
· The filtering options allow to
distinguish between COVID-19 references made by company representatives (SpeakerIsOrganizer=True) and analysts (=False)
· Other filtering options relate to
industries, event types, and event sessions (initial presentation or subsequent
Q&A).
email: jukka.sihvonen@aalto.fi
Recent
COVID-19 research in Business & Economics:
· Finance
· SSRN