Commodity carry

December 8, 2018

Across assets, carry is defined as return for unchanged prices and is calculated based on the difference between spot and futures prices (view post here). Unlike other markets, commodity futures curves are segmented by obstacles to intertemporal arbitrage. The costlier the storage, the greater is the segmentation and the variability of carry. The segmented commodity curve is shaped prominently by four factors: [1] funding and storage costs, [2] expected supply-demand imbalances, [3] convenience yields and [4] hedging pressure. The latter two factors give rise to premia that can be received by financial investors. In order to focus on premia, one must strip out apparent supply-demand effects, such as seasonal fluctuations and storage costs. After adjustment both direction and size of commodity carry should be valid, if imprecise, indicators of risk premia. Data for 2000-2018 show clear a persistent positive correlation of the carry with future returns.

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Seasonal effects in commodity futures curves

July 7, 2018

Seasonal fluctuations are evident for many commodity prices. However, their exact size can be quite uncertain. Hence, seasons affect commodity futures curves in two ways. First, they bias the expected futures price of a specific expiry month relative that of other months. Second, their uncertainty is an independent source of risk that affects the overall risk premia priced into the curve. Integrating seasonal factor uncertainty into an affine (linear) term structure model of commodity futures allows more realistic and granular estimates of various risk premia or ‘cost-of-carry factors’. This can serve as basis for investors to decide whether to receive or pay the risk premia implied in the future curve.

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Commodity pricing

May 19, 2018

A new paper combines two key aspects of commodity pricing: [1] a rational pricing model based on the present value of future convenience yields of physical commodity holdings, and [2] the activity of financial investors in form of rational short-term trading and contrarian trading. Since convenience yields are related to the scarcity of a commodity and the value of inventories for production and consumption they provide the fundamental anchor of prices. The trading aspect reflects the growing “financialization” of commodity markets. The influence of both fundamentals and trading is backed by empirical evidence. One implication is that adjusted spreads between spot and futures prices, which partly indicate unsustainably high or low convenience yields, are valid trading signals.

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The latent factors behind commodity price indices

October 7, 2017

A 35-year empirical study suggests that about one third of the monthly changes in a broad commodity price index can be attributed to a single global factor that is related to the business cycle. In fact, for a non-fuel commodity basket almost 70% of price changes can be explained by this factor. By contrast, oil and energy price indices have been driven mainly by a fuels-specific factor that is conventionally associated with supply shocks. Short-term price changes of individual commodities depend more on contract-specific events, but also display a significant influence of global and sectoral factors. The latent global factor seems to help forecasting commodity index prices at shorter horizons.

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Volatility risk premia in the commodity space

May 6, 2017

Volatility risk premia – differences between options-implied and actual volatility – are valid predictors for risky asset returns. High premia typically indicate high surcharges for the risk of changes in volatility, which are paid by investors with strong preference for more stable returns. For commodities volatility risk premia should have become a greater factor as consequence of their “financialization”. New evidence suggests that indeed volatility risk premia on commodity currencies have predictive power for subsequent commodity returns, while crude and gold premia have predictive power for other asset classes in accordance with the nature of these commodities. Since estimation of these premia takes some skill and judgment this points to opportunities for macro trading with econometric support.

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The drivers of commodity cycles

December 17, 2016

Demand shocks have been the dominant force behind non-oil commodity price cycles, according to a 145-year empirical analysis. They have been linked to global recessions or recoveries and displayed persistent effects of 10 years or more. The second most import driver has been so-called “inventory shocks”, which have been less long-lived. Supply shocks have not played an important role in driving long-term price deviations of most commodities. They were mostly commodity-specific and transient.

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The importance of differentiating types of oil price shocks

August 13, 2016

To assess the consequences of an oil price shock for markets it is important to identify its type. A new method separates oil supply shocks, oil market-specific demand shocks and global growth shocks. Supply shocks have accounted for about 50% of price volatility since the mid-1980s. Oil market-specific shocks drive a wedge between the growth of developed and emerging economies and hence matter for exchange rate trends. Global demand shocks to oil prices do not cause such a divergence.

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Climate change and systemic financial risk

May 22, 2016

The rise in global temperatures calls for a lower-carbon economy overtime. This poses systemic financial risk in two ways. First, large fossil-fuel reserves may become unburnable, triggering a collapse in asset valuations and a rise in corporate and sovereign default risk. Second, ecological deterioration may trigger belated and sudden policy adjustments, forcing the financial system to confront large underestimated carbon risk exposure and an economic recession at the same time.

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China housing and global base metal prices

April 30, 2016

China consumes half of the world’s base metal supply. Its housing market is the most metal-intensive large sector. A new quantitative study shows that China housing has been a key determinant of global metal prices during the boom of the 2000s and the bust since 2014. It is a crucial ingredient of forecasting models for directional commodity trading.

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Using commodity prices to predict exchange rates

April 9, 2016

A new empirical study confirms that export price changes explain a substantial part of commodity currency fluctuations, particularly at high frequencies. More importantly, country-specific export price indices help predicting commodity countries’ future exchange rate dynamics. The predictive power appears to be most robust over a horizon of one month.

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