Modelling and measuring price discovery in commodity markets

I. Figuerola-Ferretti Garrigues, J. Gonzalo

Journal of Econometrics Vol. 158, nº. 1, pp. 95 - 107

Resumen:

In this paper we present an equilibrium model of commodity spot (st) and futures (ft) prices, with finite elasticity of arbitrage services and convenience yields. By explicitly incorporating and modelling endogenously the convenience yield, our theoretical model is able to capture the existence of backwardation or contango in the long-run spot-futures equilibrium relationship, st=β2ft+β3. When the slope of the cointegrating vector β2>1(β2<1) the market is under long run backwardation (contango). It is the first time in this literature in which the theoretical possibility of finding a cointegrating vector different from the standard β2=1 is formally considered.

Independent of the value of β2, this paper shows that the equilibrium model admits an economically meaningful Error Correction Representation, where the linear combination of (st) and (ft) characterizing the price discovery process in the framework of Garbade and Silber (1983), coincides exactly with the permanent component of the Gonzalo and Granger (1995) Permanent–Transitory decomposition. This linear combination depends on the elasticity of arbitrage services and is determined by the relative liquidity traded in the spot and futures markets. Such outcome not only provides a theoretical justification for this Permanent–Transitory decomposition; but it offers a simple way of detecting which of the two prices is dominant in the price discovery process.

All the results are testable, as can be seen in the application to spot and futures non-ferrous metals prices (Al, Cu, Ni, Pb, Zn) traded in the London Metal Exchange (LME). Most markets are in backwardation and futures prices are “information dominant” in highly liquid futures markets (Al, Cu, Ni, Zn).

Palabras Clave: Backwardation; Cointegration; Commodity markets; Contango; Convenience yield; Futures prices; Permanent–Transitory decomposition; Price discovery

Índice de impacto JCR y cuartil WoS: 1,815 (2010); 6,300 - Q1 (2022)

Referencia DOI: https://doi.org/10.1016/j.jeconom.2010.03.013

Publicado en papel: Septiembre 2010.

Publicado on-line: Marzo 2010.

Cita:
I. Figuerola-Ferretti Garrigues, J. Gonzalo, Modelling and measuring price discovery in commodity markets. Journal of Econometrics. Vol. 158, nº. 1, pp. 95 - 107, Septiembre 2010. [Online: Marzo 2010]