Corisk Index

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The CoRisk Index is the first[according to whom?] economic indicator of industry risk assessments related to COVID-19. In contrast to conventional economic climate indexes, e.g. the Ifo Business Climate Index or Purchasing Managers' Index, the CoRisk Index relies on automatically retrieved company filings.[1] The index has been developed by a team of researchers at the Oxford Internet Institute, University of Oxford, and the Hertie School of Governance in March 2020. It gained international media attention[2][3][4][5] as an up-to-date empirical source for policy makers and researchers[6][7][8][9][10][11] investigating the economic repercussions of the Coronavirus Recession.

Methodology

The index is calculated with the use of company 10-k risk reports filed to the U.S. Securities and Exchange Commission (SEC). The CoRisk Index is calculated industry-specific as a geometric mean of three measures: [math]\displaystyle{ CoRisk Index = \sqrt[2]{k+n} }[/math],[1] where k refers to the average industry count of Corona-related keywords used in each report and n represents the average industry share of negative keywords in Corona-related sentences.

External links

References

  1. 1.0 1.1 Stephany, Fabian; Neuhäuser, Leonie; Stoehr, Niklas; Darius, Philipp; Teutloff, Ole; Braesemann, Fabian (2022-02-02). "The CoRisk-Index: a data-mining approach to identify industry-specific risk perceptions related to Covid-19" (in en). Humanities and Social Sciences Communications 9 (1): 1–15. doi:10.1057/s41599-022-01039-1. ISSN 2662-9992. https://www.nature.com/articles/s41599-022-01039-1. 
  2. "Analysis | Crisis begins to hit professional and public-sector jobs once considered safe" (in en-US). Washington Post. ISSN 0190-8286. https://www.washingtonpost.com/business/2020/04/30/jobless-claims-industry/. 
  3. Guldner, Jan. "Rezession und Instabilität: So steht der Pegel der Corona-Angst" (in de). https://www.wiwo.de/erfolg/trends/rezession-und-instabilitaet-so-steht-der-pegel-der-corona-angst/25703386.html. 
  4. smartlighting (2020-05-06). "Nuevo índice online analiza preocupaciones comerciales ante COVID-19" (in es). https://smart-lighting.es/indice-online-analiza-preocupaciones-comerciales-covid-19/. 
  5. "New online index shows business concerns over COVID-19 | University of Oxford" (in en). https://www.ox.ac.uk/news/2020-04-30-new-online-index-shows-business-concerns-over-covid-19. 
  6. Latif, Siddique; Usman, Muhammad; Manzoor, Sanaullah; Iqbal, Waleed; Qadir, Junaid; Tyson, Gareth; Castro, Ignacio; Razi, Adeel et al. (2020-09-04) (in en). Leveraging Data Science To Combat COVID-19: A Comprehensive Review. doi:10.36227/techrxiv.12212516.v2. https://www.techrxiv.org/articles/preprint/Leveraging_Data_Science_To_Combat_COVID-19_A_Comprehensive_Review/12212516/2. 
  7. Béland, Louis-Philippe; Brodeur, Abel; Wright, Taylor (2020-04-27) (in en). The Short-Term Economic Consequences of Covid-19: Exposure to Disease, Remote Work and Government Response. Rochester, NY. https://papers.ssrn.com/abstract=3584922. 
  8. "DATA in the time of COVID-19" (in en). 2020-11-13. https://opendatawatch.com/whats-being-said-resource/data-in-the-time-of-covid-19/. 
  9. Brodeur, Abel; Clark, Andrew E.; Fleche, Sarah; Powdthavee, Nattavudh (2021-01-01). "COVID-19, lockdowns and well-being: Evidence from Google Trends" (in en). Journal of Public Economics 193: 104346. doi:10.1016/j.jpubeco.2020.104346. ISSN 0047-2727. https://halshs.archives-ouvertes.fr/halshs-03029872/file/dp1693.pdf. 
  10. Brodeur, Abel; Cook, Nikolai; Wright, Taylor (2021-03-01). "On the effects of COVID-19 safer-at-home policies on social distancing, car crashes and pollution" (in en). Journal of Environmental Economics and Management 106: 102427. doi:10.1016/j.jeem.2021.102427. ISSN 0095-0696. PMC 7864793. https://www.sciencedirect.com/science/article/pii/S0095069621000103. 
  11. Davis, Steven J.; Hansen, Stephen; Seminario-Amez, Cristhian (September 2020). Firm-Level Risk Exposures and Stock Returns in the Wake of COVID-19. https://www.nber.org/papers/w27867.