A Self-Calibrating Market Sensitivity Module within the Frequent Valuation Framework: Evidence- Based Evolution of the Market Sensitivity Parameter under TCBV

This paper develops an event-driven calibration mechanism for market sensitivity within the Time-Consistent, Benchmark-Driven Valuation (TCBV) framework.

In conventional private market valuation, calibration is performed periodically and independently from valuation updates. As valuation becomes increasingly continuous, this creates a structural inconsistency between how Net Asset Value (NAV) evolves and how model parameters are updated.

The proposed approach resolves this inconsistency by introducing a self-calibrating module in which parameter updates are triggered exclusively by externally observed valuation datapoints. These datapoints are incorporated through true-up adjustments, while recalibration is applied prospectively and does not affect historical valuation.

This forward-looking structure eliminates circularity in parameter estimation and ensures that market sensitivity evolves in response to evidence rather than time. Calibration is therefore redefined as a governed, event-driven component of the valuation system rather than a periodic statistical procedure.

The result is a calibration framework that is consistent with continuous valuation, preserves auditability, and aligns parameter evolution with observable economic reality.