In-depth Analysis of the Divergence Between Economic Data and the A-Share Market

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According to the latest data, China’s November economic indicators did show a comprehensive weakening trend: retail sales grew by 1.3% year-on-year, hitting the lowest level since 2023; industrial added value increased by 4.8%, the lowest since August 2024 [1]. Meanwhile, automobile consumption fell by 8.3%, and high-end liquor revenue dropped by 6.2%, indicating a clear weakening of domestic demand.
At the same time, the A-share market has indeed shown an upward trend since June 2024. From historical experience, this divergence between economic fundamentals and stock market performance is not uncommon, but its duration and degree are worthy of in-depth analysis.
Policy-driven valuation increases are mainly based on the following logic: the market expects the government to introduce more growth-stabilizing policies, including fiscal stimulus and monetary easing. However, this expectation support has several key constraints:
Despite weak economic fundamentals, monetary policy remains relatively loose, providing liquidity support for the market. A low-interest rate environment is conducive to maintaining valuations.
Against the backdrop of real estate market adjustments and declining yields of wealth management products, A-shares, as an important asset allocation channel, can still attract some capital inflows.
The divergence between economic data and the A-share market may persist in the short term (3-6 months), mainly benefiting from policy expectations and liquidity environment support. However, in the longer term (6-12 months), if economic fundamentals fail to improve and performance verification is missing, this divergence will be unsustainable.
Key turning points may occur when:
- Earnings Disclosure Season: When performance cannot support high valuations
- Policy Window Period: When policy strength or effects fall short of expectations
- External Shocks: When major changes occur in the external environment
Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.
About us: Ginlix AI is the AI Investment Copilot powered by real data, bridging advanced AI with professional financial databases to provide verifiable, truth-based answers. Please use the chat box below to ask any financial question.
