Measuring Chinese Macro Regimes with Monetary and Economic Indicators

Summary

This research summary compares common ways to divide macroeconomic cycles: the growth-and-inflation framework often called the Merrill Lynch clock, monetary-credit cycles, and monetary-economic cycles. It argues that these approaches revolve around money, credit, economic activity, and inflation, and selects the monetary-economic framework for further analysis because those dimensions are considered important and span useful time horizons. The summary suggests that incorporating more dimensions may improve regime classification, though it gives no comparative performance results.

For economic conditions, the report says year-over-year industrial production growth is broad but can lag turning points. It proposes using leading indicators across financial conditions, output, and prices to estimate the economic state with less delay. For monetary conditions, it combines short-term interbank funding costs, the ten-year government bond yield, and growth in broad money relative to social financing to represent narrow and broad liquidity. The available text is only an abstract: it does not identify the selected leading indicators, explain the classification procedure in detail, or provide backtests and asset-allocation results. The proposed framework therefore cannot be assessed fully from this summary alone.

Key ideas

• Macro regimes can be classified through combinations of growth, inflation, money, and credit dimensions.
• The report chooses a monetary-economic cycle framework for closer analysis, while noting that existing frameworks have limited dimensions.
• Industrial production growth is a broad economic measure but may lag turning points.
• Leading indicators from financial conditions, output, and prices are proposed to estimate economic state earlier.
• Short-term funding costs, long-term government yields, and money and credit growth are combined to gauge monetary tightness.
• The available abstract omits detailed indicator selection, validation, and investment performance results.

Tags

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