Macro Risk Factor Allocation Across Chinese Stocks and Bonds

Summary

This monthly allocation report describes a strategic portfolio framework that maps broad asset holdings to underlying macroeconomic risks. It uses principal component analysis to define five factors—economic growth, interest rates, credit, term spread, and large versus small capitalization—and a changing conversion matrix to translate macro-factor risk budgets into equity and bond weights. The report argues that asset-level risk parity can leave a portfolio overly exposed to interest-rate risk, so balancing macro risks may diversify exposures more effectively.

The report gives a historical backtest comparison with an asset risk-parity benchmark and a late-2021 allocation across Chinese equity indices, government bonds of different maturities, and credit bonds. The recommended portfolio had low equity exposure and greater bond duration, using leverage. These results are the report’s own historical claims and do not establish future performance. The framework excludes cash, nonstandard assets, private equity, gold, oil, and overseas markets, and it warns that trade tensions, geopolitical events, and monetary-policy changes can alter macroeconomic conditions.

Key ideas

• The framework allocates risk across macro factors before translating those budgets into asset weights.
• Its five factors cover growth, rates, credit, term spread, and capitalization style.
• Asset risk parity may still concentrate portfolio risk in interest rates.
• The report compares its leveraged stock-and-bond portfolio with an asset risk-parity benchmark using historical backtests.
• The model excludes several asset classes and remains exposed to changing macroeconomic conditions.

Tags

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