LONDON, Oct. 14, 2019 /PRNewswire/ -- S&P Global
Market Intelligence announced the launch of Textual Data Analytics
(TDA), a sophisticated new data offering which applies Natural
Language Processing to generate sentiment scores and behavioral
metrics based on company transcripts.
TDA makes it possible for businesses and investors to
incorporate more qualitative measures of company performance into
their investment strategy by quantifying sentiment and behavior
during company calls. This new alternative data set complements the
already existing coverage machine-readable transcripts, through
Xpressfeed.
S&P Global Market Intelligence which offers a market leading
coverage of corporate transcripts sourced from earnings calls,
M&A calls and industry conferences for over 9,500 companies
globally, has recently signed an exclusive partnership agreement
with Scripts Asia (Press Release) to further extend its coverage
through the addition of transcripts of Japanese earnings calls.
Warren Breakstone, Managing Director and Chief Product
Officer of Data Management Solutions at S&P Global Market
Intelligence, said: "Clients are increasingly interested in
applying natural language processing to unstructured text to
uncover new insights that can help them make informed business and
investment decisions. Our textual data analytics package of 40
behavioral and sentiment scores will further enrich our existing
transcripts coverage, while offering clients a new alternative data
set via our Xpressfeed delivery channel."
Textual Data Analysis has been productized from two Quantamental
Research papers on Natural Language Processing published by
Frank Zhao at S&P Global market
Intelligence (Paper I & Paper II).
Frank Zhao, Senior Director of
Quantamental Research, S&P Global Market Intelligence,
said: "Our two research publications, which provide the empirical
underpinnings for TDA, show that firms whose executives exhibited
the most positive sentiment or provided the most transparency
during their earnings calls, outperformed the broad U.S. equity
market by 2.75% and 2.00% per annum between 2010 and 2017
respectively. Our analysis shows that textual analytics derived
from earnings calls provide additional stock selection power, which
is complementary to the existing analytics commonly used by
institutional portfolio managers in selecting stocks."
To learn more about S&P Global Market Intelligence's Textual
Data Analysis, please click here.
To learn more about Xpressfeed, please click here.
About S&P Global Market Intelligence
At S&P Global Market Intelligence, we know that not all
information is important—some of it is vital. We integrate
financial and industry data, research and news into tools that help
clients track performance, generate alpha, identify investment
ideas, understand competitive and industry dynamics, perform
valuations and assess credit risk. Investment professionals,
government agencies, corporations and universities globally can
gain the intelligence essential to making business and financial
decisions with conviction.
S&P Global Market Intelligence is a division of S&P
Global (NYSE: SPGI). For more information, visit
www.spglobal.com
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SOURCE S&P Global Market Intelligence