Robust Forecast Evaluation of Expected Shortfall

Ziegel, Johanna F.; Krüger, Fabian; Jordan, Alexander Inigo; Fasciati, Fernando (2019). Robust Forecast Evaluation of Expected Shortfall. Journal of financial econometrics, 18(1), pp. 95-120. Oxford University Press 10.1093/jjfinec/nby035

[img]
Preview
Text
var_es_revision_October23.pdf - Accepted Version
Available under License Publisher holds Copyright.

Download (872kB) | Preview
[img] Text
ZiegelKrugerETAL2019.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (817kB) | Request a copy

Motivated by the Basel III regulations, recent studies have considered joint forecasts of Value-at-Risk and Expected Shortfall. A large family of scoring functions can be used to evaluate forecast performance in this context. However, little intuitive or empirical guidance is currently available, which renders the choice of scoring function awkward in practice. We therefore develop graphical checks of whether one forecast method dominates another under a relevant class of scoring functions, and propose an associated hypothesis test. We illustrate these tools with simulation examples and an empirical analysis of S&P 500 and DAX returns.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Department of Mathematics and Statistics > Institute of Mathematical Statistics and Actuarial Science

UniBE Contributor:

Ziegel, Johanna F., Jordan, Alexander Inigo

Subjects:

300 Social sciences, sociology & anthropology > 330 Economics
500 Science > 510 Mathematics

ISSN:

1479-8409

Publisher:

Oxford University Press

Language:

English

Submitter:

Johanna Ziegel

Date Deposited:

20 Mar 2019 17:05

Last Modified:

05 Dec 2022 15:26

Publisher DOI:

10.1093/jjfinec/nby035

BORIS DOI:

10.7892/boris.126146

URI:

https://boris.unibe.ch/id/eprint/126146

Actions (login required)

Edit item Edit item
Provide Feedback