SLNSW-Machine learning shows that the Covid-19 pandemic...-TN_cdi_plos_journals_2687701406

Machine learning shows that the Covid-19 pandemic is impacting U.S. public companies unequally by changing risk structures

Full title: Machine learning shows that the Covid-19 pandemic is impacting U.S. public companies unequally by changing risk structures

Author/creator: Cao, Likun, Ren, Jie.

Call Numbers:

Record Identifier: TN_cdi_plos_journals_2687701406

Language: English

Formats: Articles

Publishers: San Francisco: Public Library of Science

Permalink: https://collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2687701406

Articles

Articles

Export this record

Export selected records

  • Export to excel
  • Permalink

    • Export record to excel

    File type to download

    Beta version

    Record title

    Machine learning shows that the Covid-19 pandemic is impacting U.S. public companies unequally by changing risk structures

    Record identifier

    TN_cdi_plos_journals_2687701406

    Record permalink

    https://collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2687701406

    Share

    Machine learning shows that the Covid-19 pandemic is impacting U.S. public companies unequally by changing risk structures

    ACCESS
    https://collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2687701406

    Machine learning shows that the Covid-19 pandemic is impacting U.S. public companies unequally by changing risk structures

    Full title

    Machine learning shows that the Covid-19 pandemic is impacting U.S. public companies unequally by changing risk structures

    Author / Creator

    Cao, Likun ; Ren, Jie

    Publisher

    San Francisco: Public Library of Science

    Journal title

    PloS one, 2022, Vol.17 (6), p.e0269582-e0269582

    Record Identifier

    TN_cdi_plos_journals_2687701406

    Language

    English

    Formats

    Articles

    Publication information

    Publisher

    Subjects

    Subjects and topics

    Analysis Annual reports Company structure Computational linguistics Computer and Information Sciences Coronaviruses COVID-19 Data mining Disclosure Disease transmission Economic aspects Epidemics Hypotheses Language processing Machine learning Medicine and Health Sciences Natural language interfaces Pandemics Publicly held corporations Return on assets Risk analysis Risk factors Social responsibility Social Sciences Supply chains Validity

    More information

    — SCOPE AND CONTENTS

    Contents

    — ALTERNATIVE TITLES

    Full title

    — AUTHORS, ARTISTS AND CONTRIBUTORS

    Author / Creator

    Identifiers

    — PRIMARY IDENTIFIERS

    Record Identifier

    TN_cdi_plos_journals_2687701406

    Permalink

    https://collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2687701406

    — OTHER IDENTIFIERS

    ISSN

    E-ISSN

    DOI

    How to access this item

    Online

    1 item

    How to access?

    Login with a Library card

    Full text available >

    View in old catalogue

    Connecting people and collections