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doi:10.22028/D291-42218 | Title: | Measuring tail risk |
| Author(s): | Dierkes, Maik Hollstein, Fabian Prokopczuk, Marcel Würsig, Christoph Matthias |
| Language: | English |
| Title: | Journal of Econometrics |
| Volume: | 241 |
| Issue: | 2 |
| Publisher/Platform: | Elsevier |
| Year of Publication: | 2024 |
| Free key words: | Tail risk Return forecasting Tail event forecasting |
| DDC notations: | 330 Economics |
| Publikation type: | Journal Article |
| Abstract: | We comprehensively investigate the usefulness of tail risk measures proposed in the literature. We evaluate their statistical as well as their economic validity. The option-implied measure of Bollerslev and Todorov (2011b) (𝐵𝑇 11𝑄) performs best overall. While some other tail risk measures excel at specialized tasks, 𝐵𝑇 11𝑄 performs well in all tests: First, 𝐵𝑇 11𝑄 can predict both future tail events and future tail volatility. Second, it has predictive power for returns in both the time series and the cross-section, as well as for real economic activity. Finally, a simulation analysis shows that the main driver of performance is measurement error. |
| DOI of the first publication: | 10.1016/j.jeconom.2024.105769 |
| URL of the first publication: | https://doi.org/10.1016/j.jeconom.2024.105769 |
| Link to this record: | urn:nbn:de:bsz:291--ds-422184 hdl:20.500.11880/37897 http://dx.doi.org/10.22028/D291-42218 |
| ISSN: | 0304-4076 |
| Date of registration: | 20-Jun-2024 |
| Description of the related object: | Supplementary data |
| Related object: | https://ars.els-cdn.com/content/image/1-s2.0-S0304407624001155-mmc1.pdf |
| Faculty: | HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft |
| Department: | HW - Wirtschaftswissenschaft |
| Professorship: | HW - Prof. Dr. Fabian Hollstein |
| Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Files for this record:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 1-s2.0-S0304407624001155-main.pdf | 765,32 kB | Adobe PDF | View/Open |
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