Oil prices and OPEC influence

Light, sweet crude is the most desirable grade of crude oil because it requires minimal refining while producing the most gasoline. This chart is useful when considering geopolitical risk and commodities prices, as it illustrates where the “best” oil is.

Comparison of oil types by country

Oil types by country (click image to view full-sized)

The chart was produced by the U.S. Department of Energy in 2012. Perhaps that is why West Texas Intermediate (WTI) crude is not listed, as the U.S. was not an oil exporting nation until recently, under President Obama’s administration, although we are not a net oil exporter.


The Organization of Petroleum Exporting Countries has had varying levels of power since its founding in 1960 and heyday in the 1970s. Saudi Arabia has always been the controlling producer in the cartel. OPEC’s objective is to control oil price by either freezing production or cutting production.

Iran is an OPEC member. (more…)

Published in: on March 4, 2016 at 2:31 am  Comments (1)  
Tags: , , , ,

The EPA is not the Federal Reserve of oil markets

Energy market pricing behavior seems contrary to the relationship between supply and demand. The oddly behaving RIN market is an intermediate factor that influences gasoline prices for automobiles. RIN (Renewable Identification Numbers) should be decreasing. Instead, they are too high.

Bio-fuel pricing anomaly

RIN establish compliance with standards for non-fossil fuel usage, specifically, for corn-based ethanol as a blend in gasoline. In 2007, legislation was passed to encourage greater use of ethanol. The percentage requirement of ethanol is set by the EPA. It increases annually, and is calculated at an aggregate level, measured volumetrically, over all U.S. domestic consumption.

My favorite energy blog, Platt’s Oil Barrel, featured a guest post* by former Special Assistant to President Obama and Senior Director for Energy and Climate Change of the National Security Council Jason Bordoff, explaining anomalous RIN price behavior, and what the EPA is doing about it. He noted two reasons for the seemingly anomalous pricing.

Hitting the blend wall

Renewable Fuel Standards (RFS) were revised in 2007, based on the assumption that gasoline usage would increase over time. In fact, it has not done so, not consistently. Instead, it decreased during 2011-2013, yet the schedule of increasing amounts of ethanol has remained, as legislated. As a result, according to Bordoff, we are now hitting the “blend wall”, when blenders physically cannot put enough ethanol into the gas supply to comply with RFS law.

Bordoff identified a second reason:

broad-based skepticism in the market that EPA will use its waiver authority to avoid the blend wall—even though EPA just went to unusual lengths to signal precisely that it will.

Federal Reserve v. EPA: Powers and purpose

The bio-fuel situation bears an odd resemblance to the rational expectations based logic of monetary policy. It is difficult for the Federal Reserve to effectively signal to markets, e.g. the anticipated (and appropriate!) end of quantitative easing. The Federal Reserve System has taken measures to increase transparency. Fed Governors Bernanke and Yellen hold scheduled press conferences. Bernanke was the first Federal Reserve governor to do so. The Fed was audited by the GAO in 2012. Federal Open Markets Committee (FOMC) meeting notes are published and posted online.

The Fed also has the necessary tools to carry out monetary policy e.g. quantitative easing known as QE.

Despite all of the above, the “job creators” aren’t investing, and the Fed is now contemplating QE4. (more…)

Published in: on October 13, 2014 at 7:54 am  Comments (8)  
Tags: , , , , , ,

Economic Models for Turbulent Times Part 2

A new research study has already received unusual attention. The Network of Global Corporate Control [PDF] discovers a relatively small group of multinational companies with disproportionate influence over the global economy. The authors, a trio of complex systems theorists at the Swiss Federal Institute of Technology in Zürich, are supposedly the first to empirically identify such a network.

The problem is approached using mathematical models designed for capturing behavior of complex natural systems. The study applies this methodology to a large data set of corporate information, to map ownership among the world’s transnational corporations (TNCs). Previous studies reported that a few TNCs drive much of the global economy. However, they analyzed fewer companies. Due to limited data availability and computing resources, past studies did not consider the effect of indirect ownership.


Orbis 2007, a repository of over 30 million private and public companies, published by Bureau van Dijk, was the data source. The study sample used the 43,060 largest TNCs, and derived the associated ownership linkages. The network structure was based on the relationships between shareholding interests, then weighted by each company’s operating revenue. This yielded a directional map of global economic power.

Quantitative results

The model revealed a core group with networked ownership, see image below. These 1,318 companies:

  • all had ties to at least two other companies in the core group
  • on average, were each connected to 20 other core group companies
  • represented 20% of all global operating revenues,
  • collectively owned the majority of the world’s largest blue chip and manufacturing firms:
  • in total, generated 60% of all global revenues.


Published in: on November 20, 2011 at 4:28 am  Comments (2)  
Tags: , , , ,