pith:FKWVI6KH
Marking-Aware Sequential VaR Recalibration for Standardized Option Books
Sequential conformal recalibration corrects the systematic underestimation of downside risk produced by base quantile forecasts for standardized SPX option books.
arxiv:2604.03499 v2 · 2026-04-03 · q-fin.RM · q-fin.ST
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\usepackage{pith}
\pithnumber{FKWVI6KHQP3KTKFS4R7EAAGLYY}
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Claims
Using SPX option data from 2018 to 2025, we show that the uncalibrated base model systematically underestimates downside risk across multiple standardized books. Sequential recalibration removes much of this shortfall, brings exceedance rates closer to target, and improves rolling-window tail stability.
The base conditional quantile forecast provides a sufficiently stable starting point whose errors can be corrected by sequential conformal recalibration without introducing new biases under changing market conditions and next-day marking approximations.
Sequential conformal recalibration improves exceedance rates and tail stability for VaR in standardized SPX option books compared to uncalibrated quantile forecasts.
Formal links
Receipt and verification
| First computed | 2026-05-20T00:04:30.741194Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2aad54794783f6a9a8b2e47e4000cbc618cf419299c53e1fb5c2f6db9e51a47c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FKWVI6KHQP3KTKFS4R7EAAGLYY \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 2aad54794783f6a9a8b2e47e4000cbc618cf419299c53e1fb5c2f6db9e51a47c
Canonical record JSON
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