Goldman Sachs weekly tracking of China economic activity and policy signals
AI summary card
Goldman Sachs weekly tracking of China economic activity and policy signals
The report updates four categories of high-frequency indicators in China—consumption and mobility, production and investment, other macro activity, and markets and policy—to observe changes in economic activity against the backdrop of an energy supply shock.
- 30-city new-home transaction volume has recently rebounded and is above the same period last year.
- The official consumer confidence index edged up in February, and Morning Consult consumer confidence also improved over the past week.
- Congestion data sources switched from Amap to Baidu Maps starting in 2022, and sample coverage changed from 100 cities to 98 cities, so comparability should be treated with caution.
- The report continues to track important macro policy announcements since mid-January and cites data from PBOC, Wind, CEIC, Haver, CCTD, and other sources.
Report interpretation
Overview
This is a Goldman Sachs weekly tracking report on China economic activity and policy, with a publication date of April 2, 2026. The report says it will update four groups of high-frequency indicators: consumption and mobility, production and investment, other macro activity, and markets and policy. It also says that, in order to more closely monitor the impact of the energy supply shock on China’s economic activity, the tracker has been moved to a weekly publication schedule.
Core views
The report’s core message is that some high-frequency activity indicators in China are showing marginal signs of improvement; for example, 30-city new-home transactions have recently rebounded and are above the same period last year, while consumer confidence indicators have also moved higher. That said, the report is more about data monitoring than directional forecasting, with the main focus on continuously observing macro activity, policy announcements, and market conditions through multi-source high-frequency data.
Analysis framework
The analytical approach is centered on high-frequency indicator tracking, covering dimensions such as real estate transactions, urban traffic congestion, consumer confidence, production and investment, monetary and financial conditions, and macro policy announcements. The report also flags changes in some data sources and sample definitions, for example the city congestion data switched from Amap to Baidu Maps, with Baidu covering 98 cities and Amap covering 100 cities.
Methodology notes
Weekly high-frequency indicator monitoring
By observing four groups of indicators—consumption and mobility, production and investment, other macro activity, and markets and policy—the tracker monitors short-term changes in China’s economic activity and policy response.
Sample definition change
The report notes that starting in 2022, the congestion data source switched from Amap to Baidu Maps; Baidu data began in September 2021 and follows a similar trend to Amap data, but the sample coverage differs.
Policy event table
The report includes important macro policy announcements since mid-January to observe policy pace and changes in the macro environment.
Asset mapping & comparison
Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).
- China macro assetsDirectly relevant
- Strengths
- The report covers economic activity, policy announcements, and market indicators, making it useful for judging the macro cycle and policy pace.
- Weaknesses
- The source material does not include full chart values, making it difficult to quantify the magnitude of individual indicators.
- Comparison
- Compared with a single monthly official release, high-frequency indicators are better suited to observing short-term marginal changes.
- Risks
- High-frequency data can be affected by holiday effects, weather, policy windows, and sample changes.
- China real-estate-related assetsIndirectly relevant
- Strengths
- The recent rebound in 30-city new-home transaction volume and the fact that it is above the same period last year suggest marginal improvement on the transaction side of the property market.
- Weaknesses
- Based only on the chart title for transaction volume, it is not possible to determine the extent of improvement in prices, inventory, or developers’ cash flow.
- Comparison
- Compared with nationwide real estate statistics, daily 30-city transactions are timelier but cover a narrower scope.
- Risks
- Changes in real estate policy, household income expectations, and credit conditions may cause transaction volatility.
- Commodities and energy demandIndirectly relevant
- Strengths
- The report mentions the backdrop of an energy supply shock and cites the commodities research team’s approach to nowcasting China demand.
- Weaknesses
- The excerpt does not provide specific figures for oil products demand or commodity consumption.
- Comparison
- Compared with traditional macro indicators, commodity demand tracking is closer to production and transportation activity.
- Risks
- Energy prices, supply disruptions, and policy interventions may alter the interpretation of demand.
Key data
- Report date2026-04-02The report body lists the publication time as 2 April 2026 | 6:54PM HKT.
- Tracked indicator groups4 groupsConsumption and mobility, production and investment, other macro activity, and markets and policy.
- 30-city new-home transactionsRecently rebounded and above the same period last yearThe chart title shows daily 30-city new-home transaction volume recently trending up and above the level a year earlier.
- Consumer confidenceOfficial index edged up in February; Morning Consult rose over the past weekThe chart title shows that both the official and Morning Consult consumer confidence indicators show signs of improvement.
- Baidu Maps congestion sample98 citiesThe report says Baidu congestion data covers 98 cities.
- Amap congestion sample100 citiesThe report says Amap data covers 100 cities.
Impact & implications
For investors, this report provides a short-cycle framework for observing macro activity and policy impulses, rather than a buy/sell recommendation for a single asset. The combination of changes in real estate transactions, consumer confidence, traffic congestion, production and investment, and policy announcements helps assess the breadth of China’s economic recovery, the strength of policy support, and the potential implications for commodities and market risk appetite.
Risks
- High-frequency indicators may be influenced by holidays, weather, policy windows, and changes in statistical samples.
- The congestion data source switched in 2022, and Baidu and Amap cover different samples, so historical comparability should be handled cautiously.
- Most charts in the excerpt include only titles or sources and lack full numerical values, so the conclusions should be treated as directional summaries.
- This report does not constitute personalized investment advice and does not provide specific security ratings.
What to watch
- Whether real-estate transactions continue to stay above the level seen in the same period last year in subsequent weekly tracking.
- Whether the improvement in consumer confidence is transmitted into actual consumption and mobility activity.
- Whether production and investment indicators improve in sync with the consumer side.
- The pace and intensity of subsequent macro policy announcements from the PBOC and other departments.
- The continued impact of the energy supply shock on China’s economic activity and commodities demand.