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Buy, Sell, or Hold? Information Extraction from Stock Analyst Reports

  • Conference paper
Book cover Modeling and Using Context (CONTEXT 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6967))

Abstract

This paper presents a novel linguistic information extraction approach exploiting analysts’ stock ratings for statistical decision making. Over a period of one year, we gathered German stock analyst reports in order to determine market trends. Our goal is to provide business statistics over time to illustrate market trends for a user-selected company. We therefore recognize named entities within the very short stock analyst reports such as organization names (e.g. BASF, BMW, Ericsson), analyst houses (e.g. Gartner, Citigroup, Goldman Sachs), ratings (e.g. buy, sell, hold, underperform, recommended list) and price estimations by using lexicalized finite-state graphs, so-called local grammars. Then, company names and their acronyms respectively have to be cross-checked against data the analysts provide. Finally, all extracted values are compared and presented into charts with different views depending on the evaluation criteria (e.g. by time line). Thanks to this approach it will be easier and even more comfortable in the future to pay attention to analysts’ buy/sell signals without reading all their reports.

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Author information

Authors and Affiliations

  1. CIS, University of Munich, Germany

    Yeong Su Lee & Michaela Geierhos

Authors
  1. Yeong Su Lee
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  2. Michaela Geierhos
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Editor information

Editors and Affiliations

  1. TecO/Pervasive Computing Systems, Karlsruhe Institute of Technology, Am Fasanengarten 5, 76131, Karlsruhe, Germany

    Michael Beigl  & Hedda R. Schmidtke  & 

  2. Department of Communication, Business and Information Technologies, Roskilde University, P.O. box 260, 4000, Roskilde, Denmark

    Henning Christiansen

  3. Institut für Informatik, AG Erklärungsfähige Softwaresystems, Universität Hildesheim, Marienburger Platz 22, 31141, Hildesheim, Germany

    Thomas R. Roth-Berghofer

  4. Department of Computer and Information Science, Intelligent Systems Group, Norwegian University of Science and Technology (NTNU), Sem Saelandsvei 7-9,, 7491, Trondheim, Norway

    Anders Kofod-Petersen

  5. Cognition and Communication Research Centre, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK

    Kenny R. Coventry

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© 2011 Springer-Verlag Berlin Heidelberg

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Lee, Y.S., Geierhos, M. (2011). Buy, Sell, or Hold? Information Extraction from Stock Analyst Reports. In: Beigl, M., Christiansen, H., Roth-Berghofer, T.R., Kofod-Petersen, A., Coventry, K.R., Schmidtke, H.R. (eds) Modeling and Using Context. CONTEXT 2011. Lecture Notes in Computer Science(), vol 6967. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24279-3_19

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  • DOI: https://doi.org/10.1007/978-3-642-24279-3_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24278-6

  • Online ISBN: 978-3-642-24279-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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