Corisk Index

Last updated

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.

Contents

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: , [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.

References

  1. 1 2 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". Humanities and Social Sciences Communications. 9 (1): 1–15. doi: 10.1057/s41599-022-01039-1 . hdl: 20.500.11850/532071 . ISSN   2662-9992.
  2. ↑ "Analysis | Crisis begins to hit professional and public-sector jobs once considered safe". Washington Post. ISSN   0190-8286 . Retrieved 2022-08-29.
  3. ↑ Guldner, Jan. "Rezession und Instabilität: So steht der Pegel der Corona-Angst". www.wiwo.de (in German). Retrieved 2022-08-29.
  4. ↑ smartlighting (2020-05-06). "Nuevo índice online analiza preocupaciones comerciales ante COVID-19". smartlighting (in Spanish). Retrieved 2022-08-29.
  5. ↑ "New online index shows business concerns over COVID-19 | University of Oxford". www.ox.ac.uk. Retrieved 2022-08-29.
  6. ↑ Latif, Siddique; Usman, Muhammad; Manzoor, Sanaullah; Iqbal, Waleed; Qadir, Junaid; Tyson, Gareth; Castro, Ignacio; Razi, Adeel; Boulos, Maged N. Kamel; Weller, Adrian; Crowcroft, Jon (2020-09-04). "Leveraging Data Science To Combat COVID-19: A Comprehensive Review" (PDF). doi: 10.36227/techrxiv.12212516.v2 .{{cite journal}}: Cite journal requires |journal= (help)
  7. ↑ Béland, Louis-Philippe; Brodeur, Abel; Wright, Taylor (2020-04-27). "The Short-Term Economic Consequences of Covid-19: Exposure to Disease, Remote Work and Government Response". Rochester, NY.{{cite journal}}: Cite journal requires |journal= (help)
  8. ↑ "DATA in the time of COVID-19". Open Data Watch. 2020-11-13. Retrieved 2022-08-29.
  9. ↑ Brodeur, Abel; Clark, Andrew E.; Fleche, Sarah; Powdthavee, Nattavudh (2021-01-01). "COVID-19, lockdowns and well-being: Evidence from Google Trends" (PDF). Journal of Public Economics. 193 104346. doi: 10.1016/j.jpubeco.2020.104346 . ISSN   0047-2727.
  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". Journal of Environmental Economics and Management. 106 102427. doi: 10.1016/j.jeem.2021.102427 . ISSN   0095-0696. PMC   7864793 .
  11. ↑ Davis, Steven J.; Hansen, Stephen; Seminario-Amez, Cristhian (September 2020). "Firm-Level Risk Exposures and Stock Returns in the Wake of COVID-19".{{cite journal}}: Cite journal requires |journal= (help)
This page is based on this Wikipedia article
Text is available under the CC BY-SA 4.0 license; additional terms may apply.
Images, videos and audio are available under their respective licenses.