E0233: Credit Cycle Phase Scanner Framework

Context

Context: identifying credit cycle phase for macroprudential action often exposes disagreements about credit growth, leverage ratio, and default rate and the reliability of lending standards, asset prices, and policy rate. Without a shared frame, the credit support vs bubble risk remains implicit and accountability erodes across reviews. A structured record is needed to keep decisions consistent as market conditions change.

Options

• Option A: Keep the current approach to minimize disruption while accepting limited improvement.
• Option B: Pilot a phased change, validate against agreed metrics, and scale once thresholds are met.
• Option C: Redesign the approach end to end to pursue larger gains with higher execution risk.

Decision

Decision: Choose Option B. Validate credit growth, leverage ratio, and default rate early, confirm lending standards, asset prices, and policy rate assumptions, and pause if the credit support vs bubble risk no longer holds. Document owners, constraints, and review dates.

Rationale

Rationale: Option B balances credit support vs bubble risk while preserving flexibility. It tests whether credit growth, leverage ratio, and default rate respond as expected to changes in lending standards, asset prices, and policy rate before committing to a full rollout. This reduces the risk of locking in a costly path based on weak evidence and improves governance confidence.

Risks

• Weak data quality can hide shifts in credit growth, leverage ratio, and default rate and delay corrective action.
• Slow execution can magnify the downside of credit support vs bubble risk and reduce credibility in reviews.

Next

Next: Assign owners for credit growth, leverage ratio, and default rate and lending standards, asset prices, and policy rate, finalize baseline values, and publish the trigger thresholds. Schedule the first review checkpoint and define stop conditions so the decision can be revised quickly.