Tail-Risk Forecasting with General Cubic Distributions
A cubic quantile framework forecasts Value-at-Risk and Expected Shortfall more reliably than GARCH benchmarks across eight equity indices without requiring a parametric density.
Featured in No. 132 on 25 Sep 2026 · 1 day after release
- Released
- 24 Sep 2026
- First featured
- No. 132 · 25 Sep 2026
- Published in
- Not yet, as far as Semantic Scholar knows
- Fanfare
- 3 of 5
- Identifier
- SSRN 7504480
- Authors
- Laura Garcia-Jorcano et al.
Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).