How to Track Commodities With Li Keqiang Index

Summary:

A comparison of the Li Keqiang Index and commodity prices found that many commodity movements are highly correlated with the KCI movements. Industrials metals such as aluminium and copper show the strongest correlations, followed by crude oil, corn and wheat. Does this also mean that China's economic growth is slowing down and the corresponding demand for commodities will also decrease?

Over the past 16 years, China' s "Li Keqiang" Index, has been highly correlated with the prices of many commodities including agricultural and energy products, and industrial metals. The pandemic period has been no exception. In fact, between 2005 and 2021, the index has consistently shown a more positive correlation with every major commodity than has China' s official GDP (Figure 1). This may be because it works especially well as a proxy for China' s manufacturing sector.

Figure 1: Correlation between Commodities Prices and Li Keqiang Index

The Li Keqiang Index includes only three components: rail freight volumes, electricity production, and bank loans. The index dipped sharply in Q1 2020 amid China’s lockdown, corresponding to a sharp drop in the prices of most commodities. It then rebounded to show year-on-year economic growth rates of as high as 17% by early 2021. During this period, commodity prices surged with the prices of many goods rising 100% or more off their 2020 lows. In recent months China’s growth has slowed sharply to around 5-6% and commodity markets have tended to see more sideways price action.

Prior to the pandemic, the Li Keqiang Index showed a great deal more variability than China’s official GDP, which spent many years growing at an annualized pace of around 6.5-7.0% per year. The Li Keqiang index showed much sharper slowdowns in 2009 and in 2014-16 than the official GDP did, while showing much stronger economic growth from 2010-12 and 2017-19 (Figure 2). With a few exceptions like gold, commodity markets tended to follow what the Li Keqiang index was doing - sometimes with a significant lag of up to one year or more.

Figure 2: China' s official GDP and The Li Keqiang Index

Going into 2022, the index might continue to correlate highly with global commodity prices. China continues to consume 40%-70% of the world’ s industrial metals as well as close to one-fifth of the world’ s energy and one-sixth of the world’s food. The Li Keqiang index would likely detect any significant change in China’s pace of economic growth, and since the index is released monthly rather than quarterly, it might pick up those variations before it becomes apparent in China’ s official GDP.

Going into 2022, the main downside risk for China is its property sector, where construction activity is slowing, and real estate prices have begun to decline. Balanced against this risk is easier monetary policy. At a time when many central banks have either begun to tighten policy, or appear potentially poised to do so soon, the People’ s Bank of China is actively easing monetary policy, having recently reduced its reserve requirement ratio for the second time this year (Figure 3). A lower reserve requirement ratio might boost the availability loans to China’ s corporations. Bank loans account for 40% of the index.

Figure 3: Chinese Yuan and Monetary Policy

Here is a quick look at how different commodities have responded to variations in the Li Keqiang Index in the past:

Crude Oil: energy markets pay a great deal of attention to the swing producers of oil, but China may well be the swing consumer. Pre-pandemic oil consumption was fairly stable in Europe and the U.S., but it grew rapidly in China, especially during periods when China’ s economy was growing quickly. As such, it comes as little surprise that crude oil prices follow the Li Keqiang index, and sometimes with long lags. Peak correlation for oil comes 4-5 quarters after a change in the Li Keqiang index (Figure 4 and 5).

Figure 4: WTI and YoY change in Li Keqiang Index

Figure 5: Correlation between GDP & "Li Keqiang" Growth Rates and Price of NYMEX WTI

Industrials metals: aluminum and copper show the strongest correlation to the Li Keqiang index. Unlike most other commodities, the metals have shown a strong contemporaneous correlation to changes in the Li Keqiang index as well as strong lagged correlations. That said, the correlation peaks at around one year (four quarters) for both metals (Figure 6-9).

Figure 6: Aluminum and YoY change in Li Keqiang Index

Figure 7: Correlation between GDP & "Li Keqiang" Growth Rates and Price of aluminum

Figure 8: COMEX High Grade Copper and YoY change in Li Keqiang Index

Figure 9: Correlation between GDP & "Li Keqiang" Growth Rates and Price of COMEX High Grade Copper

Precious metals: silver has a somewhat weaker but still positive correlation that peaks at around 5-6 quarters after a change in the Li Keqiang index. Silver prices correlate negatively with GDP. Meanwhile, gold is one of the few commodities that correlates negatively with the Li Keqiang index.

Stronger Chinese economic growth may be good news for most commodities but, on balance, it tends not be good news for gold (Appendix figures 7-10). Silver’s positive correlation is probably best explained by the fact that it has many industrial uses while gold has relatively few. Around 65% of silver is used for some sort of industrial purpose compared to only around 5% for gold. Unlike other metals, the yellow metal is used overwhelmingly for investment purposes.

Figure 10: COMEX Silver and YoY change in Li Keqiang Index

Figure 11: Correlation between GDP & "Li Keqiang" Growth Rates and Price of COMEX Silver

Figure 12: Gold and YoY change in Li Keqiang Index

Figure 13: Correlation between GDP & "Li Keqiang" Growth Rates and Price of COMEX Gold

Agricultural goods: corn, soybean oil and wheat demonstrate among the highest correlations with the Li Keqiang index and the correlation tends to peak five to six quarters after a move in the index –somewhat later than the peak correlation for metals and energy goods. Soymeal, like gold, tends to have a negative correlation with Li Keqiang. The difference is that corn, wheat and soybean oil can be used as biofuels and tend to correlate positively with crude oil prices. As such, they may be more heavily influenced by changes in the pace of China’s growth rate.

By contrast, soybean meal is used primarily as animal feed and, like lean hog prices, shows little response to changes in the pace of Chinese growth. Finally, soybeans fall somewhere between bean oil, which is strongly correlated, and soymeal, which shows little correlation (Figure 14-23).

Figure 14: CBTO Corn and YoY change in Li Keqiang Index

Figure 15: Correlation between GDP & "Li Keqiang" Growth Rates and Price of CBTO Corn

Figure 16: CBTO Soy Oil and YoY change in Li Keqiang Index

Figure 17: Correlation between GDP & "Li Keqiang" Growth Rates and Price of CBTO Soy Oil

Figure 18: CBTO Wheat and YoY change in Li Keqiang Index

Figure 19: Correlation between GDP & "Li Keqiang" Growth Rates and Price of CBTO Wheat

Figure 20: CBTO Soymeal and YoY change in Li Keqiang Index

Figure 21: Correlation between GDP & "Li Keqiang" Growth Rates and Price of CBTO Soymeal

Figure 22: CBTO Soybean and YoY change in Li Keqiang Index

Figure 23: Correlation between GDP & "Li Keqiang" Growth Rates and Price of CBTO Soybean

Conclusion

The bottom line is that variations in the pace of China’s growth rate have continued to reverberate through commodity markets, often with significant lags of one year of more.

For the moment, many commodity markets may still be benefitting from the extraordinary rebound in China’s manufacturing sector in the second half of 2020 and the first half of 2021. The future of China’s manufacturing growth depends on which forces prove more powerful: booming demand for manufactured goods and an easier monetary policy or a sharp slowdown in the pace of growth in China’s real estate and construction sectors. Data from the second half of 2021 suggest that the pace of growth in China has slowed substantially and, if the past is any guide, this might suggest somewhat softer demand for many commodities in 2022.

Reference: Erik Norland, Tracking Commodities With Li Keqiang Index, CME Group

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