China consumes about one third of the world’s commodities. However, its influence on commodity prices goes beyond that. Chinese institutions are also major users of commodities as collateral. Empirical evidence shows a significant link between domestic lending and global commodity prices, particularly through so-called commodity financing deals.
Convenience yield can be interpreted as a leasing rate for physical commodities. Returns on convenience claims are premia earned by investment strategies for providing this leasing service. An empirical analysis suggests that they depend on risk factors related to other asset classes, however. The inertia in these risk factors seems to help predicting returns on convenience claims.
A Bank of Italy paper illustrates the detrimental effect of a “negative cost push shock” (for example a commodity price drop) on an economy with low inflation and interest rates close to zero (such as the euro area). In normal times a downside cost shock would boost output. At the zero lower bound for rates, however, it would trigger a contraction, due to rising real rates and debt service.
Convenience yield represents the implied interest paid for borrowing physical commodity. Holding physical inventories carries benefits of flexibility for industrial consumers. The value of such inventories increases when scarcities arise. As a consequence, convenience yields help predicting future demand and price changes. A new Bank of Canada paper illustrates this for the crude oil market.
The systemic importance of commodity trading firms (CTFs) deserves attention. Key points to understand are [i] CTFs’ core business is logistics, storage and processing, [ii] they are exposed to basis risk rather than outright price risk, [iii] their profitability depends on volumes and derivatives markets liquidity, [iv] they perform little traditional bank-style term transformation, but [v] they are financial intermediaries, by offering funding and structured product services.
An academic summary paper shows how the structure of commodity markets has changed, most notably through the growth of commodity index investors. This has raised the correlation of commodities with other asset classes. Moreover, this financialization may impair at times the two key functions of commodity markets: risk sharing and price discovery.
Goldman Sachs Research takes another look at soaring warehouse queues and fears of price distortions in the aluminum market (see previous post here). A case can be made that inventories have risen as consequence of a supply surplus, rather than distortions. The price of physical metal, traded outside the exchange, appears to evolve in line with fundamentals. By contrast, the exchange price trades at a discount, because it only entitles to a warrant for cheapest delivery and not to physical metal at the required location. The variation of this discount constitutes basis risk for producers or consumers that use it for hedging, compromising the validity of the London Metals Exchange prices.
An empirical paper by Prokopczuk and Symeonidis investigates the drivers of commodity price volatility over the past 50 years. On the economic side inflation changes had been critical until price growth compressed over the past decade. Also economic recessions have been conducive to larger (industrial) commodity fluctuations. From the 2000s the importance of financial risk variables has gained weight, an apparent tribute to the “financialisation” of commodities trading.
In a short note Macquarie’s commodity research reviews price distortions and prospective changes related to the warehouse system of the London Metals Exchange (LME). Since 2008 LME warehouses have effectively withdrawn over 4 million tons of aluminium from the physical markets, producing a record premium for physical delivery versus exchange spot prices. Premiums have also climbed for other metals. A future increase in mandatory load-out rates could compress premiums but also adds to uncertainty about the resulting adjustment in exchange prices.
Chinese commodity financing deals exemplify how regulation and circumvention can distort more than one major market. These transactions have been a means for circumventing capital controls and facilitated short USD-CNY carry trades. Thereby they generated capital inflows into China, and distorted demand for physical metals (particularly copper) vis-a-vis futures. As China’s State Administration of Foreign Exchange (SAFE) has issued new regulation to curb these transactions, rapid unwinding might cause reverse distortions.
Macrosynergy is a London based macroeconomic research and technology company whose founders have developed and employed macro quantamental investment strategies in liquid, tradable asset classes, across many markets and for a variety of different factors to generate competitive, uncorrelated investment returns for institutional investors for over eighteen years. Our quantitative-fundamental (quantamental) computing system tracks a broad range of real-time macroeconomic trends in developed and emerging countries, transforming them into macro systematic quantamental investment strategies. In June 2020 Macrosynergy and J.P. Morgan started a collaboration to scale the quantamental system and to popularize tradable economics across financial markets.
