Using Year-over-Year Index Cycles to Anticipate Market Turning Points

Summary

This study proposes using the roughly 42-month cycle in year-over-year asset-price series to identify broad market turning points. It treats price behavior as a combination of trend, cycle, and random components, and argues that year-over-year log changes filter out some short-term noise and long-term trend, making the cycle easier to observe. The authors compare shorter, medium, and longer economic cycles and conclude that the short Kitchin cycle has the strongest influence on market bull and bear phases.

The proposed timing method shifts a detected turning point in the year-over-year cycle forward by about 4.5 months to estimate the corresponding price turning point. The study supports this with mathematical derivation, signal-processing methods, statistical tests, and phase comparisons across major indices. It applies the method to argue that global equities may have peaked in early 2018. That historical forecast is not proof of predictive reliability: the cycle length is an estimate, policy shocks and short-term moves can interfere, and past cycle patterns may fail.

Key ideas

• Year-over-year log price changes are presented as a way to reduce trend and high-frequency noise while exposing cyclical movement.
• The study argues that a roughly 42-month Kitchin cycle is more influential on market regimes than longer cycles.
• It estimates that turning points in the year-over-year cycle lead price turning points by about 4.5 months.
• The proposed timing rule is supported by mathematical analysis and empirical phase comparisons across major indices.
• Cycle lengths can vary, and historical regularities may not persist.

Tags

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