Macroeconomic Regimes for Multi-Asset Allocation

Summary

The document outlines a framework for allocating across asset classes according to macroeconomic trends. It first identifies whether individual indicators are rising or falling, using historical averages or filtering, then compares asset returns over the following month across those trend conditions. Indicators whose associated average returns differ meaningfully are selected and related indicators are combined to define broader economic states.

It also describes incorporating macroeconomic views into a Black–Litterman model: historical average monthly returns supply prior expected returns, while economic growth and inflation trends inform subjective views. A separate allocation approach divides conditions into four growth-and-inflation combinations and assigns asset weights based on historical performance within each state. The document reports that its backtests produced relatively steady positive returns across states and that its Black–Litterman strategy outperformed a mean-variance strategy while controlling risk. These are claims about historical results, not guarantees; the authors caution that the models rely on simplifying assumptions and historical data, which may not represent future markets.

Key ideas

• Use moving averages or filtering methods to classify the direction of macroeconomic indicators.
• Compare subsequent asset returns across indicator trends to identify potentially informative relationships.
• Combine related indicators to define regimes based on economic growth and inflation trends.
• Use historical returns as Black–Litterman priors and macroeconomic trends to shape asset-return views.
• Historical backtests do not establish that the strategy will perform similarly in future conditions.

Tags

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