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News-based trading strategies

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Other literature type 01 Jan 2015Embargo end date: 01 Jan 2016 Germany, Switzerland English Publisher:Elsevier BVJournal:Decision Support Systems, volume 90, pages 65-74 (issn: 0167-9236, Copyright policy )
Authors: Feuerriegel, Stefan; Prendinger, Helmut;

doi: 10.1016/j.dss.2016.06.020 , 10.2139/ssrn.2580050 , 10.3929/ethz-b-000182400 , 10.48550/arxiv.1807.06824

arXiv: 1807.06824

handle: 20.500.11850/182400

News-based trading strategies

Abstract

Decision Support Systems, 90

ISSN:0167-9236

ISSN:1873-5797

Countries
Germany, Switzerland
Related Organizations
Keywords

FOS: Computer and information sciences, Computer Science - Machine Learning, Quantitative Finance - Trading and Market Microstructure, Trading simulation, 330, Financial news, Text mining, Machine Learning (stat.ML), 004, Trading and Market Microstructure (q-fin.TR), Machine Learning (cs.LG), Decision support, FOS: Economics and business, Sentiment analysis, Statistics - Machine Learning, Trading strategies, Decision support; Financial news; Trading strategies; Text mining; Sentiment analysis; Trading simulation

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 72
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
72
Top 1%
Top 10%
Top 10%
Green
bronze