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Energy Sector 4Q19: Best and Worst

The Energy sector ranks fourth out of the 11 sectors as detailed in our 4Q19 Sector Ratings for ETFs and Mutual Funds report. It gets our Neutral rating.
New Constructs leverages reliable fundamental data (https://bit.ly/381hKF1) to provide unconflicted insights into the fundamentals and valuation of private and public businesses. Combining human expertise with cutting-edge machine learning (ML) technologies (featured by Harvard Business School: https://hbs.me/308BaTX), the firm shines a light in the dark corners (e.g. footnotes) of hundreds of thousands of corporate financial filings to reveal critical details that drive uniquely comprehensive and independent credit and equity investment ratings, valuation models and research tools. The Journal of Financial Economics (https://bit.ly/3q6G8LI) reveals: 1. Legacy fundamental datasets suffer from significant inaccuracies, omissions and biases. 2. Only our “novel database” enables investors to overcome those flaws and apply reliable (https://bit.ly/303iuoQ) fundamental data in their research. 3. Our proprietary measures of Core Earnings (https://bit.ly/3bQVrD9) and Earnings Distortion (https://bit.ly/3uJkrF3) materially improve stock picking and forecasting of profits. Harvard Business School and MIT Sloan are not the only institutions to write papers on the superiority of our data and research. Find more papers here (https://bit.ly/3uGW0Ih). Now, all investors, not just Wall Street insiders, can access trustworthy research on the earnings and valuation of stocks, bonds, ETFs, and mutual funds. Elite money managers, advisors and institutions have relied (https://bit.ly/3sCT2mj) on us to lower risk and improve performance since 2004. See our client testimonials (https://bit.ly/3dZaa1G) and media coverage (https://bit.ly/3sxYDu2).
New Constructs leverages reliable fundamental data (https://bit.ly/381hKF1) to provide unconflicted insights into the fundamentals and valuation of private and public businesses. Combining human expertise with cutting-edge machine learning (ML) technologies (featured by Harvard Business School: https://hbs.me/308BaTX), the firm shines a light in the dark corners (e.g. footnotes) of hundreds of thousands of corporate financial filings to reveal critical details that drive uniquely comprehensive and independent credit and equity investment ratings, valuation models and research tools. The Journal of Financial Economics (https://bit.ly/3q6G8LI) reveals: 1. Legacy fundamental datasets suffer from significant inaccuracies, omissions and biases. 2. Only our “novel database” enables investors to overcome those flaws and apply reliable (https://bit.ly/303iuoQ) fundamental data in their research. 3. Our proprietary measures of Core Earnings (https://bit.ly/3bQVrD9) and Earnings Distortion (https://bit.ly/3uJkrF3) materially improve stock picking and forecasting of profits. Harvard Business School and MIT Sloan are not the only institutions to write papers on the superiority of our data and research. Find more papers here (https://bit.ly/3uGW0Ih). Now, all investors, not just Wall Street insiders, can access trustworthy research on the earnings and valuation of stocks, bonds, ETFs, and mutual funds. Elite money managers, advisors and institutions have relied (https://bit.ly/3sCT2mj) on us to lower risk and improve performance since 2004. See our client testimonials (https://bit.ly/3dZaa1G) and media coverage (https://bit.ly/3sxYDu2).

The Energy sector ranks fourth out of the 11 sectors as detailed in our 4Q19 Sector Ratings for ETFs and Mutual Funds report. Last quarter, the Energy sector ranked eighth. It gets our Neutral rating, which is based on an aggregation of ratings of the 184 stocks in the Energy sector. See a recap of our 3Q19 Sector Ratings here.

Figures 1 and 2 show the five best and worst rated ETFs and mutual funds in the sector. Not all Energy sector ETFs and mutual funds are created the same. The number of holdings varies widely (from 24 to 136). This variation creates drastically different investment implications and, therefore, ratings.

Investors seeking exposure to the Energy sector should buy one of the Attractive-or-better rated ETFs or mutual funds from Figures 1 and 2.

Our Robo-Analyst technology[1] empowers our unique ETF and mutual fund rating methodology, which leverages our rigorous analysis of each fund’s holdings.[2] We think advisors and investors focused on prudent investment decisions should include analysis of fund holdings in their research process for ETFs and mutual funds.

Figure 1: ETFs with the Best & Worst Ratings – Top 5

Image Source: New Constructs, LLC

* Best ETFs exclude ETFs with TNAs less than $100 million for inadequate liquidity.

Sources: New Constructs, LLC and company filings

Three ETFs (XLTY, FCG, ROKT) are excluded from Figure 1 because their total net assets (TNA) are below $100 million and do not meet our liquidity minimums.

Figure 2: Mutual Funds with the Best & Worst Ratings

Image Source: New Constructs, LLC

* Best mutual funds exclude funds with TNAs less than $100 million for inadequate liquidity.

Sources: New Constructs, LLC and company filings

GAGEX is excluded from Figure 2 because its total net assets (TNA) are below $100 million and do not meet our liquidity minimums.

IXC is the top-rated Energy ETF and CGEYX is the top-rated Energy mutual fund. IXC earns a Neutral rating and CGEYX earns an Attractive rating.

IEO is the worst rated Energy ETF and GHAAX is the worst rated Energy mutual fund. IEO earns an Unattractive rating and GHAAX earns a Very Unattractive rating.

184 stocks of the 2850+ we cover are classified as Energy stocks.

The Danger Within

Buying a fund without analyzing its holdings is like buying a stock without analyzing its business and finances. Put another way, research on fund holdings is necessary due diligence because a fund’s performance is only as good as its holdings’ performance. Don’t just take our word for it, see what Barron’s says on this matter.

PERFORMANCE OF HOLDINGs = PERFORMANCE OF FUND

Analyzing each holding within funds is no small task. Our Robo-Analyst technology enables us to perform this diligence with scale and provide the research needed to fulfill the fiduciary duty of care. More of the biggest names in the financial industry (see At BlackRock, Machines Are Rising Over Managers to Pick Stocks) are now embracing technology to leverage machines in the investment research process. Technology may be the only solution to the dual mandate for research: cut costs and fulfill the fiduciary duty of care. Investors, clients, advisors and analysts deserve the latest in technology to get the diligence required to make prudent investment decisions.

Figures 3 and 4 show the rating landscape of all Energy ETFs and mutual funds.

Figure 3: Separating the Best ETFs From the Worst ETFs

Image Source: New Constructs, LLC

Sources: New Constructs, LLC and company filings

Figure 4: Separating the Best Mutual Funds from the Worst Mutual Funds

Image Source: New Constructs, LLC

Sources: New Constructs, LLC and company filings

This article originally published on October 14, 2019.

Disclosure: David Trainer, Peter Apockotos, and Kyle Guske receive no compensation to write about any specific stock, sector or theme.

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[1] Harvard Business School features the powerful impact of our research automation technology in the case New Constructs: Disrupting Fundamental Analysis with Robo-Analysts.

[2] This paper compares our analytics on a mega cap company to other major providers. The Appendix details exactly how we stack up.