Reliability-Aware ETF Tail-Risk Monitoring

Fuente: arXiv
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Autori principali: Zhong, Tenghan, Wu, Keyuan
Natura: Preprint
Pubblicazione: 2026
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author Zhong, Tenghan
Wu, Keyuan
author_facet Zhong, Tenghan
Wu, Keyuan
contents Daily ETF risk monitoring can become unreliable when market data quality degrades, market conditions shift, or predictive performance becomes unstable. This paper develops a reliability-aware risk monitoring service for next-day tail-risk surveillance. The proposed framework combines service-time quality checks, lower-tail prediction, uncertainty scoring, and risk-aware adjustment of the tail-risk estimate. We evaluate the system on a daily panel of multiple ETFs augmented with VIX and yield-curve information under a rolling walk-forward design. Empirically, the framework improves tail-risk monitoring, especially during stressed periods, while remaining reliable under simulated input degradation.
format Preprint
id arxiv_https___arxiv_org_abs_2604_08765
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Reliability-Aware ETF Tail-Risk Monitoring
Zhong, Tenghan
Wu, Keyuan
Risk Management
Statistical Finance
Daily ETF risk monitoring can become unreliable when market data quality degrades, market conditions shift, or predictive performance becomes unstable. This paper develops a reliability-aware risk monitoring service for next-day tail-risk surveillance. The proposed framework combines service-time quality checks, lower-tail prediction, uncertainty scoring, and risk-aware adjustment of the tail-risk estimate. We evaluate the system on a daily panel of multiple ETFs augmented with VIX and yield-curve information under a rolling walk-forward design. Empirically, the framework improves tail-risk monitoring, especially during stressed periods, while remaining reliable under simulated input degradation.
title Reliability-Aware ETF Tail-Risk Monitoring
topic Risk Management
Statistical Finance
url https://arxiv.org/abs/2604.08765