Arbeitspapier
Encompassing tests for value at risk and expected shortfall multi-step forecasts based on inference on the boundary
We propose forecast encompassing tests for the Expected Shortfall (ES) jointly with the Value at Risk (VaR) based on flexible link (or combination) functions. Our setup allows testing encompassing for convex forecast combinations and for link functions which preclude crossings of the combined VaR and ES forecasts. As the tests based on these link functions involve parameters which are on the boundary of the parameter space under the null hypothesis, we derive and base our tests on nonstandard asymptotic theory on the boundary. Our simulation study shows that the encompassing tests based on our new link functions outperform tests based on unrestricted linear link functions for one-step and multi-step forecasts. We further illustrate the potential of the proposed tests in a real data analysis for forecasting VaR and ES of the S&P 500 index.
- Sprache
-
Englisch
- Erschienen in
-
Series: Hohenheim Discussion Papers in Business, Economics and Social Sciences ; No. 11-2020
- Klassifikation
-
Wirtschaft
Hypothesis Testing: General
Model Evaluation, Validation, and Selection
Financial Econometrics
- Thema
-
asymptotic theory on the boundary
joint elicitability
multi-step ahead and aggregate forecasts
forecast evaluation and combinations
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Dimitriadis, Timo
Liu, Xiaochun
Schnaitmann, Julie
- Ereignis
-
Veröffentlichung
- (wer)
-
Universität Hohenheim, Fakultät Wirtschafts- und Sozialwissenschaften
- (wo)
-
Stuttgart
- (wann)
-
2020
- Handle
- URN
-
urn:nbn:de:bsz:100-opus-18131
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Dimitriadis, Timo
- Liu, Xiaochun
- Schnaitmann, Julie
- Universität Hohenheim, Fakultät Wirtschafts- und Sozialwissenschaften
Entstanden
- 2020