Regulatory Stress Test Automation

Purpose

Regulatory Stress Test Automation automates the generation and calibration of regulatory stress test scenarios using market and economic data. Its purpose is to reduce manual effort, support consistency with regulatory requirements, and improve risk insight for senior management.

Primary users

The primary users are external client-facing teams working on financial risk management activities related to regulatory stress testing. The provided owner is H. Meacham.

Where it fits (process/stage/trigger)

This agent fits within the regulatory stress testing process when teams need to generate, calibrate, simulate, and document forward-looking stress scenarios aligned with frameworks such as CCAR, EBA, and PRA.

Key capabilities / workflow

The agent ingests large volumes of market and economic data, detects emerging trends, generates stress assumptions, simulates multiple forward-looking scenarios, proposes shocks based on historical correlations or anomalies, and produces documentation explaining the rationale and links to supporting data sources.

Inputs

Typical inputs include market and macroeconomic data, including interest rates, foreign exchange data, credit spreads, commodity prices, and market datasets such as rates, FX, and spreads.

Outputs / Deliverables

Typical outputs include calibrated stress scenarios and supporting documentation that explains the rationale for the scenarios and links them to supporting data sources.

Value

The agent helps reduce manual effort in regulatory stress testing, improves consistency with regulatory frameworks, and strengthens risk insight for senior management by automating scenario generation, calibration, simulation, and documentation.