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Slide Building Hypothetical Stock Portfolio Using US Energy Information Administration Data

Top 3 Energy Sources

Woobler Energy Analysis

26.5%

Coal

26.2%

Natural Gas

18.7%

Nuclear

WOOBLER USE CASE

Building a Hypothetical Stock Portfolio

Using US Energy Information Administration (EIA) Data

EIA is the statistical and analytical agency within the U.S. Department of Energy. EIA produces energy data and analysis to provide context for how a variety of energy industries serve customers in the United States and abroad. EIA vast database is available for public use. EIA data, as well as many other connected data sets, is available as part of Woobler Knowledge Graph.

This study focused on the understanding of the US energy balance, geographical distribution of electricity generation across the country, utility types, the structural changes, and, finally, construction of a hypothetical stock portfolio using company’s contribution to the cleaner and more sustainable energy generation as a selection factor.

For our analysis we used EIA electrical 2016-19 plant-level data enhanced by connections to Woobler-own industry and geographic taxonomies, company family tree and stock market data. These connections made analysis and subsequent construction of our hypothetical portfolio seamless and quick.

Section Sub Title

US Energy Balance by Power Source

United States generates about four thousand TERA Watt hours of electrical power a year.

While the ‘fossil’ power sources (Coal, Oil and Natural Gas) remain dominant in the US energy balance accounting together for 63-67% of the US energy production their share is gradually getting smaller while the share of renewable sources (Wind and Solar) is increasing.

Nuclear and Hydro power generation remains stable 18 and 12% respectively. There is also a sizeable shift within ‘fossil’ group: the material capacity shift from Coal to the Natural Gas. Below we will examine in details both structural changes.

Moving from Coal to cleaner Natural Gas

From 2016 thru 2019 the country has shifted about 7% of the power generating capacity from coal to the cleaner source – natural gas.

Where this change is taking place?

Texas, Pennsylvania, Virginia, West Virginia, and Georgia are 5 top states driving the transition from Coal to the Natural Gas. The table below shows the changes in terms of electricity generation volume (TWh). Together they moved over 27% of their combined electrical generation from Coal to the Natural Gas in 4 years. At the same time Nevada, Oregon, Florida, Connecticut and Washington added Coal-based generation.

ANALYSIS

Who is driving the change from Coal to the Natural Gas?

It appears that private industry (investor-owned, independent) is ahead of publicly-owned or mixed-ownership utilities.

Here are the five top private utilities that lead the industry by reducing their exposure to Coal and moving at least some of their generation capacity to the cleaner source – Natural Gas.

Let us turn our attention to renewables: in four years (2016-19) the electricity generation from Wind and Solar sources has significantly grown.

While in absolute numbers the generation from Wind and Solar has yet to reach the levels produced by ‘fossil’ fuels the trend is steep and clear. During these years the generation from Solar has doubled and from Wind increased by 30%.

Texas, California, Oklahoma, and Kansas lead.

Who is driving the growth in renewable sources?

The growth of the renewable sources is driven predominantly by independent producers while federal, state-owned, and municipal utilities are lagging in terms of generation capacity and growth.

NextEra Energy Resources and Southern Power look like clear leaders in driving the move to use more renewable sources (Wind and Solar) in terms of absolute generation capacity

On a more granular level...

Constructing Hypothetical Portfolios

There is a hypothesis that market would reward companies that have capabilities and incentives to drive the change to a more sustainable and cleaner energy generation. We would like to evaluate this hypothesis using the findings from this study.

 

As the first step let us look at the publicly traded utilities and understand how their balance of power sources has changed over the last 4 years (2016-19). We identified 23 publicly traded utilities leading the industry in terms of total electricity generations and examined their power sources. Our list contains well known names like: Duke Energy, Dominion Energy, Exelon, etc. These companies account for roughly 50% of US electricity generation.

We then organized these companies into 3 groups (portfolios) based on their contribution in terms of generating capacity to both significant structural changes: a) shift from Coal to the Natural Gas and b) Solar and Wind growth.

Our expectation was that in terms of market performance over the long term our Group 1 will deliver better returns than Group 2,  and Group 2 will outperform Group 3. We then would compare the market performance of our portfolios to the benchmark – S&P Utilities Index (.GSPU).

As can be seen from the chart below, our Group 1 fared by and large on par with our Group 2 and both Group 1 and Group 2 have significantly outperform Group 3 and the benchmark. Our analysis did not account for the dividend adjustments, therefore the actual returns will be materially higher than presented here.

Conclusion

Performance of our hypothetical portfolios vs S&P Utility Index. Simple returns. 2010-2020

We used Woobler connected data for this case study. It made many data “massaging” and calculation tasks fast and easy because Woobler has already addressed many integration and data quality issues freeing users from mundane and time-consuming tasks.

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