arXiv (All)
open access
Early Detection of Pension-Sponsor Distress from Public Filings: A Sponsor Vulnerability Index, Stress-Augmented VaR, and Dynamic Self-Investment Caps
A defined-benefit pension is only as safe as its sponsor, yet sponsor distress is under-instrumented relative to plan-side modelling. We present a transparent, reproducible early-warning pipeline built entirely on public data. A Sponsor Vulnerability Index (SVI), a gradient-boosted classifier over p
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Heart Failure Prediction & Risk Stratification using Machine Learning#156683
- Heart Failure Prediction & Risk Stratification using Machine Learning#152662
- <b>Machine Learning-Based Financial Distress Prediction: Evidence from Bangladesh’s Banking Sector</b>#339890
- A Study to Improve Cardiovascular Outcomes in High Risk PatieNts With Acute Coronary Syndrome#1350016
- Targeted Health Dialogues in Primary Care#1184738
Record · ID 1324721
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive