The analytical framework for the cotton market is evolving from traditional supply-demand balance sheets to a composite model integrating financial perspectives and invisible inventory monitoring. On July 11, during the 14th session of the Cotton School training, fund manager Lu Jie systematically deconstructed the core logic of this framework, offering direct reference value for current industry analysis.
The Underlying Logic of the Supply-Demand Balance Sheet
Lu emphasized that the economic principle of supply-demand influencing price is the analytical cornerstone, with contradictions ultimately reflected in inventory data. Analysts need to break down the four core balance sheet indicators: production, consumption, trade flows, and industry inventory. Notably, changes in downstream invisible inventory—such as stocks held by traders or small mills not captured in official statistics—are becoming a critical variable in adjusting inventory structure. These fluctuations often signal demand turning points earlier than visible inventory.
Seasonal Characteristics and Macro Factors
Cotton supply and demand exhibit distinct seasonal rhythms. Before harvest, weather dominates market sentiment; during harvest, supply pressure anchors prices; after harvest, actual consumption determines direction. However, current markets can no longer rely solely on seasonal patterns. Macro factors such as policy changes, US dollar exchange rate fluctuations, and interest rate cycles now create overlapping effects. For example, a stronger dollar directly depresses dollar-denominated cotton prices, while rate cycles suppress end-consumer demand, indirectly transmitting pressure upstream.
Financial Monitoring of Downstream Health
In demand-side analysis, Lu highlighted that beyond conventional metrics like mill operating rates, domestic-international cotton/yarn spreads, and fiber price ratios, corporate cash flow is a key indicator of industry health. From a financial perspective, even if inventory data appears reasonable, tight cash flow among downstream companies implies limited restocking capacity, potentially overstating actual demand. This dimension helps analysts penetrate surface data and assess the resilience of the industry's capital chain.
Monitoring and Applying Quantifiable Data
Lu advised closely tracking quantifiable data across the supply chain, such as weekly operating rates, port inventories, and warrant registrations. These data points provide empirical support for the analytical framework, but analysts must develop their own methodologies. All analytical logic should adhere to common sense and return to the essence of cotton as a commodity—its price ultimately determined by real physical supply and demand, not short-term speculative sentiment. Risk control should always be prioritized.