Mild explosivity in recent crude oil prices

Este paper aplica la tecnologia de deteccion de burbujas financieras introducida por Phillips Shi and Yu (2015) para estudiar los dos periodos de crisis de la última década, la Crisis Financiera Global y la crisis del petroleo de 2014. Se encuentran periodos de mild explosivity en ambos episodios que se asocian con fundamentales de demanda y oferta respectivamente. El paper resuelve contribuye a la literatura dando luz al debate de fundamentales versus financialización.

This paper provides an analysis of oil prices during and in the aftermath of the Global Financial Crisis, concentrating
on the 2007–08 price spike and the 2014–16 price decline. The mildly explosive/multiple bubbles testing strategy
by Phillips, Shi and Yu (2015, International Economic Review 56(4), 1043–1133) is used to test for price departures
from an underlying stochastic trend and to assess whether any such departures can be explained by fundamentals
or other proxy variables. The test dates two significant time periods in both Brent and WTI nominal and real frontmonth futures prices: a mildly explosive episode during the 2007–08 spike, prior to the peak of the Global Financial
Crisis; and a significantly shorter, negative such episode during the 2014–16 price decline, whose commencement
is dated around a key OPEC meeting in November 2014. Evidence using other commodity prices points to
explanatory factors beyond commodity markets. A global economic activity proxy is found to be decisive
in the episode in mid-2008; excess speculation is not. U.S. shale oil production, though contributing to
the post-June 2014 price decline, is not seen to have been decisive. Against some recent work tying the
CBOE Volatility Index (VIX) to oil futures prices, we find no evidence that the VIX decisively affected oil
price levels during the sample period. The results are compared and contrasted with those obtained by
Baumeister and Kilian (2016, Journal of the Association of Environmental and Resource Economists 3, 131-158)
via a forecasting approach based on a structural vector autoregressive model without financial variables.
Taken altogether, the results herein provide new evidence based on formal statistical testing that helps resolve a number of recent controversies in the oil price literature