The physical market and the WTI/Brent price spread

Published date01 March 2018
Date01 March 2018
AuthorPan Liu,Reid B. Stevens,Dmitry Vedenov
DOIhttp://doi.org/10.1111/opec.12117
The physical market and the WTI/Brent price
spread
Pan Liu*
,
**, Reid B. Stevens* and Dmitry Vedenov*
*Associate Professor, Department of Agricultural Economics, Texas A&M University, College Station, TX,
USA. Email: vedenov@tamu.edu
**Senior Analytics Fellow, McKinsey & Company, 85 Seaport Blvd, Boston, MA 02210, USA. Email:
liupan925@gmail.com;
Abstract
West Texas Intermed iate (WTI) and Brent Crude are primary ben chmarks in oil prici ng.
Although produced i n different location s, WTI and Brent are of simi lar quality and are used
for similar purposes . Under the oil market glob alisation assumpti on (Weiner, 1991), price s of
crude oils with the same quali ty should move closely tog ether at all times. How ever,
empirical evidenc e shows that notable vari ations exist in the WT I/Brent spread, part icularly
after 2010, creating risks as well as potent ial arbitrage opport unities for oil market
participants. The pape r analyses the dynamics of WTI/ Brent price spread for the pe riod
between January 1994 and De cember 2016. A test for struct ural breaks in the WTI/Brent
price spread indicat es a change from a stati onary to a non-station ary time series in Dece mber
2010, which is also con rmed by the unit root and cointegration tests. The impact of
physical market funda mentals on the dynamics of WTI/Brent price spread is then analy sed
using the Structura l Vector Autoregres sion Model for each sub- sample period separ ated by
the structural brea k. Impulse response f unctions show that th e WTI/Brent spread i s mainly
driven by US production shoc ks.
1. Introduction
Crude oil is one of the most important industrial commodities. A variety of crude oils of
different characteristics are produced and traded around the world. Among them, West
Texas Intermediate (WTI), Brent, and Dubai Crude are the three primary benchmarks.
The most important characteristics of a crude oil are its density and sulphur content.
Generally, low-density and low-sulphur content crude oils are more valuable than high-
density and high-sulphur content crudes. WTI and Brent are both light (low density) and
sweet (low sulphur) crude oils, making them ideal for rening petroleum products.
Dubai/Oman is a medium sour crude oil, which means it has a higher density and higher
sulphur content than WTI and Brent.
©2018 Organization of the Petroleum Exporting Countries. Published by John Wiley & Sons Ltd, 9600 Garsington
Road, Oxford OX4 2DQ, UK and 350 Main Street, Malden, MA 02148, USA.
55
West Texas Intermediate is produced and primarily used as a benchmark in the
United States. The US crude market is divided into ve regions called Petroleum
Administration for Defense Districts or PADDs. Cushing, Oklahoma is in PADD 2, and
is a key hub with many intersecting pipelines as well as storage facilities. It has served as
the price settlement point for WTI on the New York Mercantile Exchange since 1983.
The development of hydraulic fracturing and horizontal drilling technologies has caused
a boom in shale oil production over the last few years. According to Energy Information
Administration, the average daily production of shale oil is about 3.5 million barrels,
three times higher than the daily production in 2010 (EIA, 2014; Manescu and Nu~
no,
2015). The so-called shale oil revolutionincreased the availability of US domestic
energy availability and reduced its dependence on imported crude.
Brent Crude is extracted from the North Sea and encompasses four crude blends, viz.
Brent, Forties, Oseberg and Ekosk (BFOE). It serves as an international crude oil
benchmark and is responsive to global market fundamentals. Norway and United
Kingdom are two major oil producers in the North Sea. The Brent and Forties blends are
produced offshore in the waters of the United Kingdom, and the Ekosk and Oseberg
blends are mainly produced offshore in the waters of Norway (EIA, 2016). The North
Sea region is experiencing faster-than-expected decline in production, mainly due to the
ageing elds and increasing production costs. Brent production fell by 38 per cent
between 2010 and 2013a fall of 500 million barrels per day of oil production (CME,
2014). Even though the Brent benchmark itself accounts for only a small portion of total
world crude production, it remains a key indicator for world crude oil pricing.
The concept of globalisationin oil market was introduced up by Weiner (1991). This
oil market globalisation theory claims that supply and demand shocks to oil prices in one
region quickly transfer into other regions, which means that prices of crude oils with same
quality will move closely together. Based on this hypothesis, price spread between crude
oils with similar quality should consist of only three components: quality discount,
transportation cost, and time discount. WTI and Brent are both light and sweet forms of
crude oil, therefore, the spread between WTI and Brent should be nearly constant over time
(Fattouh, 2010). However, empirical evidence shows that notable variations exist in WTI/
Brent spread, particularly after 2010 (see Fig. 1). In this paper, we study the dynamics of
WTI/Brent price spread by investigating two questions: (i) is WTI/Brent price spread
stationary over time?; and (ii) what factors are driving the variations in WTI/Brent spread?
The properties of the WTI/Brent price spread as a time series have been studied in the
prior literature. Before 2010, the literature conrmed the predictions of the oil market
globalisation theory. Most authors nd WTI/Brent spread to be a stationary process.
G
ulen (1997, 1999) nds that oil prices in different markets move closely both in the short
run and in the long run. Fattouh (2010) also nds that several pairs of different crude oil
price differentials follow stationary processes. After 2011, a different pattern has been
OPEC Energy Review March 2018 ©2018 Organization of the Petroleum Exporting Countries
56 Pan Liu, Reid Stevens and Dmitry Vedenov

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