A Mahalanobis-Distance Index for Business-Cycle Recession Risk

Summary

This reading note summarizes the KKT business-cycle index, a data-driven measure proposed in a referenced academic paper. The index uses Mahalanobis distance and statistical likelihood to compare current economic conditions with a robust-growth state, interpreting the result as the relative probability of recession. Unlike Euclidean distance, Mahalanobis distance accounts for correlations among input variables and standardizes for differences in measurement scales. The note contrasts this approach with conventional composite indicators built from weighted economic series.

The article reports that empirical tests found earlier recession warnings from the KKT index than from the Conference Board leading index, and a shorter warning interval than yield-curve inversion. It also says the measure distinguishes recession from steady growth. These are claims summarized from the referenced paper; the note itself provides no data, construction details, or independent replication. The index is presented as a macroeconomic monitoring tool, so its usefulness for trading depends on whether its signals translate reliably into market decisions.

Key ideas

• The KKT index applies Mahalanobis distance and statistical likelihood to assess recession risk relative to robust growth.
• Mahalanobis distance incorporates correlations among economic variables and is insensitive to their units of measurement.
• The note reports earlier warnings than the Conference Board leading index and a shorter lead interval than yield-curve inversion.
• The measure is described as identifying both recession and steady-growth states.
• The summary does not provide construction details or independent evidence beyond the cited study.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.