RESOURCES

Research, docs & field notes.

Research, docs & field notes.

Research, docs & field notes.

Everything to evaluate, deploy, and get the most from synthetic market intelligence.

Everything to evaluate, deploy, and get the most from synthetic market intelligence.

Search resources…

All

Research

Docs

Case studies

AI Stress Testing for Financial Models: Beyond Historical Replay

Financial stress testing has gone through three generations. The first was manual. The second was historical replay. The third uses AI to generate scenarios that never occurred but plausibly could — testing models against the conditions history was too short to supply. Here's what AI stress testing actually means in 2026.

Read article →

AI Model Governance for Financial Institutions: The 2026 Regulatory Landscape

SR 26-2 replaced fifteen-year-old model risk guidance and explicitly excluded generative and agentic AI from scope. That exclusion is not a free pass — it's a governance gap institutions now own without a template. Here's the 2026 regulatory landscape, what governance actually requires, and where most institutions stand.

Read article →

SEC Form PF Stress Test Requirements: What Hedge Fund Advisers Need to Know in 2026

Form PF is often called a stress test — but it isn't one. It's a reporting obligation: large hedge fund advisers must report stress events like sharp losses or redemption waves within 72 hours. Here's what triggers a filing, the thresholds that matter, and why the 2026 rollback changes everything.

Read article →

AIFMD Liquidity Stress Testing Requirements: Complete Guide

AIFMD II's liquidity management tool rules are now in force, with the core selection requirement applying to every open-ended fund — new and existing — from April 16, 2026. Here's what AIFMD actually requires for liquidity stress testing, what's changed, and why your LST methodology now feeds directly into a binding compliance decision.

Read article →

SR 11-7 Replacement: The New MRM Framework Explained

SR 11-7 governed model risk for fifteen years. SR 26-2 replaces it with six concrete changes — a narrower model definition, risk-based validation cadence, more flexible validator independence, a shift to non-binding guidance, a scope weighted toward larger institutions, and an explicit AI carve-out. Here's what each change means in practice for your MRM program.

Read article →

Why Backtesting Is Not Enough for Risk Management

Backtesting answers one question well: did this work before? It was never designed to answer the question that matters just as much — would it survive something new? Here's where backtesting structurally falls short, and what forward-looking risk teams add alongside it.

Read article →

New research, in your inbox

New research, in your inbox

Occasional notes on synthetic data and market modeling.

Occasional notes on synthetic data and market modeling.

you@firm.com

Subscribe

Discover the future of time-series analysis with AHEAD. Effortlessly create, edit, and enhance your data.

Copyright © 2026 Ahead Innovation Laboratories GmbH. All Rights Reserved