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2 New ETFs Dodge The Energy Sector

Summary There are both economic and environmental reasons for avoiding investments in the energy sector. ProShares has introduces an ETF – SPXE – that excludes the energy sector altogether; the fund is based on the S&P 500. State Street offers an SPDR – SPYX – that seeks to exclude all companies owning fossil fuel reserves. There are a couple of good reasons for avoiding the energy sector : for one, energy-based companies are just not doing that well – particularly in the oil and gas industry; second, there is a lot of pressure from environmental groups aimed at curtailing the activities of energy-related businesses – again, particularly the oil and gas industry. Little wonder, then, that the past three months have seen the introduction of three new ETFs designed to minimize exposure to the energy sector, doing so in different ways. I will look at two of these funds here: ProShares S&P 500 Ex-Energy ETF (NYSEARCA: SPXE ) SPDR S&P 500 Fossil Fuel Free ETF ( SPYX ) The third fund (mentioned below) will be discussed separately, in my next article. The Funds This is one of the few ProShares funds that is not leveraged or inverse, and one of four offerings that exclude specific sectors. 1 For all intents and purposes, the fund has little to do with environmental concerns; its function, as ProShares explains, is to enable investors to “tailor” their market exposure. 2 There is a surfeit of questions concerning the energy market, both short-term and long, and these questions can make investing in energy-related companies unappealing. Investors leery of the energy sector can use a fund like SPXE to avoid those uncertainties while still taking advantage of the usually reliable S&P 500 performance. There are also those investors who already have significant energy investments, but who are reluctant to extract themselves from holdings that frequently draw substantial dividends. SPXE offers these investors the opportunity to counterbalance energy-heavy portfolios, drawing on the rest of the S&P 500 to provide growth that may be lacking in the energy sector. The fund uses the S&P 500 Ex-Energy Index (SPXXEGP) which is rebalanced as needed. Distributions will be made quarterly. My estimated dividend yield is lower than the 2.16% projected by ProShares. Where SPXE avoids the energy sector as an investment strategy, SPYX tries to take the higher moral ground of eschewing those energy-related companies “that do not own fossil fuel reserves.” 3 This narrowing of the set of excluded companies gives SPYX a net of 11 holdings more than those available to SPXE . The shift in emphasis is based on a pair of considerations. The first is the increased emphasis on the environmental hazards posed by companies producing fossil fuels. The second involves the growing prospect of ” stranded assets ” – coal, oil and gas reserves that cannot be extracted because of restrictive conditions placed on companies. With the focus being placed on the ownership of fossil fuel reserves, SPYX is able to pick up on energy companies that operate without owning those reserves – and it is here that I find the concept behind SPYX to be flawed. From the environmental perspective, it is not the ownership of reserves that poses the problem – it is the production of those reserves into usable fuel wherein begins the environmental concern. Off-shore drilling companies, companies involved in various stages of extraction and transportation, and refining companies find their ways into the SPYX portfolio, even though they pose as much – if not more – of a threat to the environment as the owners of the reserves. From the practical perspective of having stranded assets , those involved in the extraction, transportation and refining of those assets are affected (in principle) as much as those who own the inaccessible reserves. This fund employs the S&P 500 Fossil Fuel Free Index (SP5F3UP). Dividends will be paid quarterly; the yield I have estimated is lower than the 2.07% yield projected on the basis of the index. Ex-Energy Performance I set out to determine if these funds provide any performance enhancement over the S&P 500 , and the extent to which any change in performance could be attributed to the excluded companies. My first test was of SPXE , using its index ( SPXXEGP ), beginning before the drop in oil prices in 2014 (December 2, 2013, specifically). Besides SPXXEGP and the S&P 500 , I included the following in the comparison: 4 Crude oil prices over the period of the test, for a basic industry measure; 5 S&P 500 Energy Select Sector Index (SPN) 6 Vanguard Energy ETF (NYSEARCA: VDE ) 7 (click to enlarge) Given the magnitude of the drop in crude prices over the two-year period, the drop in both SPN and VDE were somewhat moderated. As one might have expected, the exclusion of the energy sector from SPXXEGP resulted in an improved performance to the tune of 483bps – a reasonable payoff, though not quite of the magnitude of the losses the energy sector suffered. Fossil Fuel Free Performance As with the above, I wanted to compare SPYX ‘s performance (via its index, SP5F3UP ) with the S&P 500 . I also wanted to compare the indices with representatives of companies involved with fossil fuels; to this end I included (besides crude oil, as above): 8 S&P Oil & Gas Exploration & Production Select Industry Index ( SPXSOP ) iShares U.S. Oil & Gas Exploration and Production (NYSEARCA: IEO ) (click to enlarge) Unlike the ex-energy comparison, here we have an index that seems closely connected to the drop in oil prices, as SPXSOP moved lower by -54.07%. Losses by IEO , however, were still moderate by comparison. As for SPYX ‘s index, it has risen by 358bps more than the S&P 500 in general – however, this is 125bps less than SPXE ‘s index. Certainly, this is far less than one might have expected, if there was much substance behind the tighter focus on fossil free fuels. Assessment All things considered, I think SPXE is the better of the two funds, even though it does not make any environmental pretensions. In fact, insofar as it excludes all of the companies in the energy sector, rather than just those that own fossil fuel reserves, it is – in a sense – environmentally superior to SPYX . Moreover, it seems that by narrowing it’s focus in the energy sector SPYX actually gives up some of its performance. The fact that SPXSOP has dropped nearly as much as the price of crude is an indication that the oil and gas production industry as a whole is feeling the pinch caused by dropping crude prices – not just companies that own reserves. By holding onto production companies that do not own reserves, SPYX also seems to come up short in addressing environmental concerns. Non-reserve-owning oil-production firms in general are involved in environmentally risky endeavors such as fracking and deep-sea drilling; oil pipelines have carried with them a series of controversies, the most recent being the rejection of the Keystone XL project, which was rejected in large part because of the threat it posed to the environment. 9 Even the claim that SPYX avoids the impending issue of stranded assets is rather weak. Losses that might be foreseen by companies that own reserves that could be “stranded” would likely also extend to non-ownership production and transportation companies, which would see a potential decrease in business. 10 Admittedly, SPYX ‘s approach does achieve some gains in performance over its S&P 500 base, but those gains are not as great as the benefits offered by SPXE . On my estimation, SPYX does appear to be able to offer a larger dividend than its ProShares counterpart, but the potential gains SPXE has over and above those of the SPDR offering appear to outweigh the difference in dividends. Addendum I was originally going to discuss a third ETF here: the ETHO U.S. Climate Leadership ETF (NYSEARCA: ETHO ) ; although that fund excludes companies that pose risk to the environment, however, it is substantially different in approach from both SPYX and SPXE . ETHO ‘s approach to environmental concerns not only leads it to exclude the energy sector, but significant parts of many other sectors as well. 11 I will present a discussion of ETHO in my next article. Disclaimers This article is for informational use only. It is not intended as a recommendation or inducement to purchase or sell any financial instrument issued by or pertaining to any company or fund mentioned or described herein. All data contained herein is accurate to the best of my ability to ascertain, and is drawn from the Company’s Prospectus, Statement of Additional Information, and fact sheets. All tables, charts and graphs are produced by me using data acquired from pertinent documents; historical price data from Yahoo! Finance . Data from any other sources (if used) is cited as such. All opinions contained herein are mine unless otherwise indicated. The opinions of others that may be included are identified as such and do not necessarily reflect my own views. Before investing, readers are reminded that they are responsible for performing their own due diligence; they are also reminded that it is possible to lose part or all of their invested money. Please invest carefully. —————————— 1 Of 150 ETFs offered, 122 are either leveraged, inverse, or both; that leaves 28 “just plain old” ETFs. Besides energy, they offer funds that exclude financials, health care and technology. 2 ProShares S&P 500 Ex-Sector ETFs , available here . 3 SPDR S&P 500 Fossil Fuel Free ETF (SPYX) Prospectus , p. 2. Such reserves are defined as “economically and technically recoverable sources of crude oil, natural gas and thermal coal.” 4 For sake of convenience I have adjusted index values to a range commensurate with the ETFs involved. 5 Energy Information Administration (IEA) prices for Cushing OK Crude Oil Future Contract 1 (Dollars per Barrel). 6 Data for all S&P indices from S&P Dow Jones Indices . 7 VDE was chosen because it is based on the MSCI U.S. Investable Market Energy 25/50 Index , providing contrast to SPN . 8 To my knowledge there is no index or ETF that specifically covers only those companies that own coal, oil and gas reserves. I have opted, instead, to used “oil and gas exploration and production” for the comparison. 9 The Keystone XL project was supposed to run from Alberta, Canada into Montana, from whence it would run through South Dakota and into Nebraska, where it would link with the existing Keystone pipeline in Steele City. After six years of studies and wrangling, the project was rejected by the Obama administration. 10 I was able to address some questions about the philosophy behind SPYX to Christopher McKnett , Managing Director and head of Environmental, Social and Governance at State Street Global Advisors . He reaffirmed the environmental and economic concerns that are discussed above. He added that retaining some of the energy holdings “preserves some diversification benefits and may help dampen volatility as compared to a zero weight.” The correspondence took place between 12/21/2015 and 12/23/2015. 11 Particularly the utilities and materials sectors.

Low-Risk Tactical Strategies Using Volatility Targeting

Summary In this volatility targeting approach, the allocation between equity and bond assets is varied on a monthly basis based on a specified target volatility level. Low volatility is the goal. Two strategies are presented: 1) a moderate growth version and 2) a capital preservation version. 30 years of backtesting results are presented using mutual funds as proxies for ETFs. For the moderate growth version, backtests show a CAGR of 12.6%, a MaxDD of -7.4% (based on monthly returns), and a return-to-risk (CAGR/MaxDD) of 1.7. For the capital preservation version, CAGR = 10.2%, MaxDD = -4.9%, and return-to-risk (CAGR/MaxDD) = 2.1. In live trading, ETFs can be substituted for the mutual funds. Short-term backtesting results using ETFs are presented. I must admit I am somewhat of a novice at using volatility targeting in a tactical strategy. But recently, the commercially free Portfolio Visualizer [PV] added a new backtest tool to their arsenal, so I started studying volatility targeting and how it works. Volatility targeting as used by PV is a method to adjust monthly allocations of assets within a portfolio based on the volatility of the assets over the previous month(s). In this case, we are only looking at high volatility equities and very low volatility bonds. To maintain a constant level of volatility for the portfolio, when the volatility of the equity asset(s) increases, allocation to the bond asset(s) increases because the bond asset has low volatility. And when the volatility of the equity asset(s) decrease, allocation to the bond asset(s) decreases. In PV, you can specify a target volatility level for the portfolio. Since I wanted an overall low volatility strategy with moderate growth (greater than 12% compounded annualized growth rate), I mainly focused on very low volatility target levels. I ended up using a monthly lookback period on volatility to determine the asset allocations because monthly lookbacks produced the best overall results. I quickly came to realize that high-growth equity assets are desired for the equity holdings, and a low-risk (low volatility) bond asset is preferred for the bond fund. In order to assess the strategy, I used mutual funds that have backtest histories to 1985. This enabled backtesting to Jan 1986. In live trading, ETFs that mimic the funds can be used. I will show results using the mutual funds as well as the ETFs. The equity assets I selected were Vanguard Health Care Fund (MUTF: VGHCX ) and Berkshire Hathaway (NYSE: BRK.A ) stock. Either Vanguard Health Care ETF (NYSEARCA: VHT ) or Guggenheim – Rydex S&P Equal Weight Health Care ETF (NYSEARCA: RYH ) can be substituted for VGHCX in live trading. BRK.A is, of course, a long-standing diversified stock. These two equity assets were selected because of their high performance over the years. Of course, these equities had substantial drawdowns in bear markets, something we want to avoid in our strategy. But in volatility targeting, as I have found out, it is advantageous to use the best-performing equities, not just index-based equities. Of course, it is assumed that these equities will continue to perform well in the future as they have in the past 30 years, and that may or may not be the case. For the low-risk bond asset class, I used the GNMA bond class. The selection of the GNMA bond class was made after studying performance and risk using other bond classes such as money market, short-term Treasuries, long-term Treasuries, etc. The GNMA class turned out to be the best. I selected Vanguard GNMA Fund (MUTF: VFIIX ) for backtesting, so that the backtests could extend to Jan 1986. There are a number of options for ETFs that can be used in live trading, e.g. iShares Barclays MBS Fixed-Rate Bond ETF (NYSEARCA: MBB ). Moderate Growth Version (CAGR = 12.6%) A moderate growth version is considered first. VGHCX and BRK.A are the equities always held in a 66%/34% split; VFIIX is the bond asset; and the target volatility is 6%. The backtested results from 1986-2015 are shown below compared to a buy and hold strategy of the equities (rebalanced annually). (click to enlarge) (click to enlarge) (click to enlarge) (click to enlarge) It can be seen that the compounded annualized growth rate [CAGR] is 12.6%, the maximum drawdown [MaxDD] is -7.4% (based on monthly returns), and the return-to-risk [MAR = CAGR/MaxDD] is 1.7. There are three years with essentially zero or very slightly negative returns: 1999, 2002 and 2008. The worst year (2008) had a -1.6% return. The monthly win rate is 74%. The percentage of VFIIX varies between 1% and 93% for any given month. The Vanguard Wellesley 60/40 Equity/Bond Fund (MUTF: VWINX ) is a good benchmark for this strategy. The overall performance and risk of VWINX are shown below. It can be seen that the CAGR is 9.1%, while the MaxDD is -18.9%. These performance and risk numbers are quite good for a buy and hold mutual fund, but the volatility targeting strategy produces higher CAGR and much lower MaxDD. VWINX Benchmark Results: 1986-2015 (click to enlarge) Capital Preservation Version (MAR = 2.1) For this version, the target volatility was set to a very low level of 3.5%. This volatility level produced the lowest MAR. The results using PV are shown below. (click to enlarge) (click to enlarge) (click to enlarge) (click to enlarge) It can be seen that the CAGR is 10.2%, the MaxDD is -4.9%, and the MAR is 2.1. Every year has a positive return; the worst year has a return of +0.4%. The monthly win rate is 75%. Limited Backtesting Using ETFs To show how this strategy would play out in live trading, I have substituted RYH for VGHCX and MBB for VFIIX. The second equity asset is BRK.A as before. Backtesting is limited to 2008 with these ETFs and the BRK.A stock. The backtest results are shown below. (click to enlarge) (click to enlarge) The ETF results can be compared with the mutual fund results from 2008 to 2015. The mutual fund results are shown below. (click to enlarge) (click to enlarge) It can be seen that the overall performance over these years is lower than seen over the past 30 years. The CAGR is 9.7% from 2008 to 2015 for the mutual funds and 9.3% for the ETFs. Although this performance in recent years is less than earlier performance, it is still deemed acceptable for most retired investors interested in preserving their nest egg while accumulating modest growth. The good quantitative agreement between mutual funds and ETFs between 2008 and 2015 provides some confidence that using ETFs is a viable option for this strategy. Overall Conclusions The tactical volatility targeting strategy I have presented has good potential to mitigate risk and still provides moderate growth in a retirement portfolio. The moderate growth version has a CAGR of 12.6% and a MaxDD of -7.4% in 30 years of backtesting. The capital preservation version has a CAGR of 10.2% and a MaxDD of -4.9% over this same timespan. The return-to-risk MAR using target volatility is much better than passive buy and hold approaches, especially in bear markets when large drawdowns may occur even in diversified portfolios.