Nonparametric expectile shortfall regression for functional data
This work addresses the issue of financial risk analysis by introducing a novel expected shortfall (ES) regression model, which employs expectile regression to define the shortfall threshold in financial risk management. We develop a nonparametric estimator for this model and provide mathematical su...
Saved in:
| Main Authors: | Almanjahie Ibrahim M., Abood Hanan, Bouzebda Salim, Alshahrani Fatimah, Laksaci Ali |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2025-04-01
|
| Series: | Demonstratio Mathematica |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/dema-2025-0125 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Dependence modeling in general insurance using local Gaussian correlations and hidden Markov models
by: Afazali Zabibu, et al.
Published: (2025-08-01) -
Highly adaptive Lasso for estimation of heterogeneous treatment effects and treatment recommendation
by: Nizam Sohail, et al.
Published: (2025-08-01) -
A global analysis of the role of uncertainty, globalisation, security and market concentration on domestic capital formation
by: Gildas Dohba Dinga, et al.
Published: (2025-12-01) -
Genome-Wide Analysis of GmMYB S20 Transcription Factors Reveals Their Critical Role in Soybean Nodulation
by: Junchen Leng, et al.
Published: (2025-07-01) -
Tax Wedge and its Impact on Employment in OECD Countries
by: Radu Claudia Florina, et al.
Published: (2025-09-01)