Why risk is hard to measure
Danielsson, J.
& Zhou, C.
(2015).
Why risk is hard to measure.
VoxEU,
Regulators and financial institutions increasingly depend on statistical risk forecasting. This column argues that most risk modelling approaches are highly inaccurate and confidence intervals should be provided along with point estimates. Two major approaches, value-at-risk and expected shortfall are compared, and while the former is found to be superior in practice, it is also easier to be manipulated by forecasters.
| Item Type | Article |
|---|---|
| Copyright holders | © 2015 The Authors |
| Departments |
LSE > Academic Departments > Finance LSE > Research Centres > Financial Markets Group LSE > Research Centres > Financial Markets Group > Systemic Risk Centre |
| Date Deposited | 22 May 2015 |
| URI | https://researchonline.lse.ac.uk/id/eprint/62054 |
Explore Further
- http://www.lse.ac.uk/finance/people/faculty/Danielsson.aspx (Author)
- http://www.voxeu.org/article/why-risk-hard-measure (Publisher)
- http://www.voxeu.org/ (Official URL)
ORCID: https://orcid.org/0009-0006-9844-7960