Tag: risk tolerance

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Can minimum volatility ETFs consistently perform well?

Last weekend, there was a fascinating article about minimum volatility ETFs. It was written by one of my favorite Wall Street Journal columnists, Jason Zweig. In this article, he shared a lot of wisdom, which I will highlight more here.

What is a minimum volatility ETF?

One of the most common ways to measure risk in an ETF is to track its volatility. So, investing in a minimum volatility ETF may make sense for investors seeking to reduce risk. One of the largest low volatility ETFs is the iShares MSCI USA Min Vol Factor ETF (ticker: USMV), with over $30B in assets. The chart below shows it performance since its inception in October 2011, which generally lagged the S&P 500 (ticker: IVV). However, its volatility was noticably lower.

Risk and Return of a large minimum volatility ETF compared to the S&P 500 . Source: www.ETFReplay.com
Risk and Return of a large minimum volatility ETF compared to the S&P 500 . Source: www.ETFReplay.com

Why did this ETF produce lower risk and lower return?

This ETF is able to lower risk through the use of optimization, much like the ETFMathGuy portfolios. However, we don’t limit our optimal portfolios to equities like minimum volatility ETFs. We consider bonds, commodities and other alternative investments too. ETFMathGuy also uses backtesting that includes transaction costs to build portfolios to maximize returns.

The fund’s index uses an optimization algorithm to build a “minimum variance” portfolio—one that considers correlation between stocks—rather than simply holding a basket of low-vol stocks…

USMV Factset Analytics Insight (https://www.etf.com/USMV)

So, this ETF consists of stocks which typically emphasize lower volatility sectors like financial, utilities and real estate. These sectors are often termed “value”, rather than “growth” investments, in part due their issuance of dividends. Consequently, optimization to produce a minimum volatility ETF removes some market risk, generating a beta of 0.87. But, as we can see in the economic cycle from 2011 – 2020, the return also lagged the market.

Recent performance of minimum volatility

This year’s pandemic has certainly affected the stock market in significant ways. Investments favored by minimum volatility ETFs (financials, utilities, and real estate) have been significantly impacted by coronavirus lockdowns. However, technology has done very well, as remote work has increased the demand for technology systems and services. Unfortunately, technology is typically more of a “growth” investment. So, minimum volatility ETFs often limit their exposure to growth stocks to reduce volatility. In the ETFMathGuy portfolios, technology has been a noticeable portion this year, and has led to encouraging year-to-date returns and performance statistics.

ETFMathGuy is a subscription-based education service for investors interested in using commission-free ETFs in efficient portfolios.
ETFMathGuy is a subscription-based education service for investors interested in using commission-free ETFs in efficient portfolios.
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Alpha and Beta Portfolio Statistics

In this post, we will be diving deeper into two commonly used portfolio statistics. These terms are Alpha and Beta, are based on a statistical method called “Regression“, and are used in the Capital Asset Pricing Model (CAPM). They are calculated by fitting a “line” to a set of points.

“…alpha is the return on an investment that is not a result of general movement in the greater market”.

Description of “Alpha” from the Capital Asset Pricing Model (CAPM). Source: Investopedia

“Beta effectively describes the activity of a security’s returns as it responds to swings in the market”

Description of “Beta” from the Capital Asset Pricing Model (CAPM). Source: Investopedia

If we define the market as the S&P 500, then Beta is an indication on how sensitive a portfolio is to S&P 500 returns. Alpha indicates how returns occur independent of the S&P 500. The term Alpha is so important, that it has even spawned its own website. And, why not? It represents the return obtained without exposing an investor to (stock) market risk.

An Example of CAPM

To better illustrate how Alpha and Beta are determined, consider the last 8 months of returns for the the following data sets:

  1. ETFMathGuy Aggressive Portfolio Returns
  2. S&P 500 total returns (ticker: IVV) to represent the market
  3. Short-term U.S. Treasury bill returns (ticker: SHV) to represent the risk free rate

Since CAPM is based on the concept of “excess returns”, which are returns above the risk-free rate, we can visualize this relationship in a scatterplot. The horizontal axis is the “Market Returns – Risk Free Rate”, and the vertical axis is the return of our “ETFMathGuy Aggressive Risk Portfolio Returns – Risk Free Rate”.

The Capital Asset Pricing Model (CAPM) applied to 8 months of returns of ETFMathGuy Portfolios
The Capital Asset Pricing Model (CAPM) applied to 8 months of returns of ETFMathGuy Portfolios

These results look promising, with a value of Beta = 0.37 and Alpha = 2.1%. However, 8 observations are small, so analysts typically look to see if these values are “significantly different” than 0. Or, put another way, what is the chance that these value were obtained by skill, rather than luck?

Assessing Luck vs. Skill

More data or evidence is always helpful in supporting any claim using statistics. For the example we show above, we are claiming that Alpha and Beta are non-zero values. Using some fundamentals from statistics, we can determine p-values for our Alpha and Beta calculation above as 29% and 15%, respectively. (Yes, p-value is another statistical term.) These p-values are fairly easy to interpret. In this case, 29% is the probability that Alpha = 2.1% is due to random chance, and the 15% is the probability that Beta= 0.37 is due to random chance. Put another way, we can say that Alpha = 2.1% and Beta = 0.37, but there is a chance (29% and 15%) that, in fact, we are wrong and that these value should be zero. So, the smaller the p-values, the greater confidence we have that these are the correct values and have minimal estimation error.

So What?

These results show that the ETFMathGuy Aggressive Portfolio is generating positive Alpha, and isn’t overly sensitive to the market. However, more data is needed to provide stronger evidence that these results are not simply due to luck. We hope you will continue to check back to see how the ETFMathGuy portfolios perform for the rest of 2020. And, for those who are premium subscribers, the September portfolios are now available, which includes a new calculator at the bottom of the page to further aid in portfolio re-balancing decisions.

ETFMathGuy is a subscription-based education service for investors interested in using commission-free ETFs in efficient portfolios.
ETFMathGuy is a subscription-based education service for investors interested in using commission-free ETFs in efficient portfolios.
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Will this stock market rally continue?

As recently discussed in this Wall Street Journal article, there is a deep suspicion on the future of this current stock market rally. In this article, we discuss what this rally looks like in various market segments. We will close on how our ETFMathGuy portfolios have performed so far this year.

The state of our economy

Most investors would agree that the economy is not doing well. Unemployment is high and our GDP (Gross Domestic Product) is shrinking at record levels. However, the Federal reserve has acted quickly and significantly. Also, congress has provided significant economic stimulus. Consequently, we have a stock market, as measured by the S&P 500 total return, up 3.5% year to date. But, not all segments of the market are behaving the same.

Below is a chart similar to the one we wrote about previously, where real estate was lagging the overall market. In that post, we also highlighted that the top 5 companies in the S&P 500 were focused on technology, helping the performance of the S&P 500.

Stock market total returns, year to date. Source: www.ETFreplay.com
Stock market total returns, year to date. Source: www.ETFreplay.com

As this chart shows, real estate is still down about 10% year to date, as measured by the iShares Dow Jones Real Estate REIT ETF. (ticker: IYR). However, the energy sector, as measured by U.S. Energy Sector SPDR ETF (ticker: XLE) is down nearly 38% for the year. Given few people are travelling much these days, we shouldn’t be surprised to see the energy sector prices behaving this way. Alternatively, the technology sector, as measured by the U.S. technology sector SPDR ETF (ticker: XLK) is doing very well, with a 21% total return year to date. Again, this is not surprising to many investors. The demand for many forms of technology is high in order to support workers in our economy working remotely.

ETFMathGuy Portfolios

We build ETFMathGuy portfolios to respond to market dynamics by analyzing daily price returns, variance and covariance over a historical period chosen from our backtesting. We build these portfolios from segments of the market not typically considered, but also exclude ETFs that are not sufficiently liquid. Our cumulative year to date total returns appear below.

Year to Date Total returns of ETFMathGuy Portfolios Through July 31, 2020.

As this chart shows total returns each month for this year, the ETFMathGuy portfolios are succeeding in reducing risk. These portfolios are also continuing to outperform the stock market. If you would like to see how this performance was possible, remember that we analyze over 2,000 ETFs to find assets that maximize returns for the levels of risk chosen. We encourage free subscribers to review the portfolios published earlier in the year, including April and May. Premium subscribers can now view the latest portfolios, based on market data through July 31, 2020.

ETFMathGuy is a subscription-based education service for investors interested in using commission-free ETFs in efficient portfolios.
ETFMathGuy is a subscription-based education service for investors interested in using commission-free ETFs in efficient portfolios.

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2020 Mid-year Review by ETFMathGuy

The coronavirus pandemic has made for an interesting year so far in the financial markets. So, we chose to focus this post on a 2020 mid-year review of market volatility and returns.

Let’s begin by looking at the stock (equity) and bond (debt) markets. The time series below shows the significant volatility in both markets. The green line is the total return of the iShares Core S&P 500 ETF (ticker: IVV). The blue line is the total return of the iShares Core U.S. Aggregate Bond ETF (ticker: AGG). Notable, for the second quarter of the year, the S&P 500 had its biggest return since 1998. Unfortunately, the S&P 500 total return (including dividends) is still down for the year.

Year-to-Date Returns

The year-to-date total returns for the stock and bond market appear in the next figure. Alongside them, you can see the total returns of the ETFMathGuy Moderate and Aggressive portfolios. We found these portfolio returns by reviewing my account balances, so they represent returns that include portfolio turnover and the bid-ask spread from actual trades. However, they do not include the effect of taxes. Like many individual investors, I won’t file my 2020 returns until early next year.

Both portfolios continued to outperform the total return of the S&P 500. Premium subscribers can now access the July 2020 portfolios. Free subscribers are invited to review previous month portfolios. We also encourage free subscribers to upgrade their subscriptions to enable access to the portfolios built from the latest market dynamics.

Year-to-date returns through June 2020 for the stock market, bond market and ETFMathGuy Portfolios

Market Volatility

Stock market volatility continues to trend down, but is still higher than historical norms. Current volatility is 27.7% using our market volatility calculator that updates daily. Thus, over the last month, the volatility has come down from the 96th percentile to the 90th percentile, based on historical norms.

Stock market volatility continues to trend down, but still higher than historical norms.

We interpret this lower volatility as the markets reaction to less uncertainty about future economic growth. But, as the chart shows, we are still in a time of elevated uncertainty.

We hope you find this 2020 mid-year review educational as your consider your investments in the second-half of 2020.

ETFMathGuy is a subscription-based education service for investors interested in using commission-free ETFs in efficient portfolios.
ETFMathGuy is a subscription-based education service for investors interested in using commission-free ETFs in efficient portfolios.
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S&P 500 down about 20% in the First Quarter of 2020

It was a difficult year so far for many investors. The total return of the iShares Core S&P 500 ETF (ticker: IVV) was -12.1% for the month of March. The total return of IVV in the first quarter 2020 was -19.6%. Such large losses often shake investor confidence. Also, the math is against you now. To recover from the 20% loss, a investor needs a 25% gain. If losses hit 40%, then an investor needs a 67% return to get back to where they started. And, if losses reach 50%, an investor needs a 100% return, or double their money, to recover all their losses. This is the unfortunate math behind compounded gains and losses.

The recovering from a large market loss can be challenging due to the effect of compounding
Recovering from a large market loss can be challenging due to the effect of compounding

How did the ETFMathGuy portfolios do in First Quarter 2020?

Using my account balances at the end of March, I measured my investment returns for the first quarter. For the Moderate Portfolio in my taxable account, my first quarter return was -5.0%. My Roth IRA used the Aggressive Portfolio and had a first quarter return of -2.1%. These returns far exceeded the S&P 500 in this first quarter. So, we are pleased with these results, which were supported by the backtesting we used to tune our optimization methodology.

Total Returns for the First Quarter Using Taxable and IRA Accounts
Total Returns for the First Quarter Using Taxable and IRA Accounts

Why is there such a large difference between the moderate and aggressive portfolios? The biggest driver was the moderate portfolio’s exposure to the municipal bond market. The aggressive portfolio did not include municipal bond ETFs, since it operated within an IRA. Please, look for yourself at the premium portfolios that produced these returns, which are now available to all free subscribers.

Measuring Volatility

We’ve added a new feature to the ETFMathGuy site to track the daily stock market volatility. Using the first ETF ever created, the SPDR S&P 500 ETF Trust, we developed an average of one, two and three month annualized volatility. At the end of this week, volatility was 70.6%, which is well above its median value of about 13% over the last 20 years.

Current stock market volatility hasn't been seen since the financial crisis of 2008.
Current stock market volatility hasn’t been seen since the financial crisis of 2008. Click this image to see the latest volatility, updated daily.

The last time volatility reached this level was the 2008 financial crisis. Then, volatility peaked at 77.8% on November 24, 2008.

In our next post, we will discuss using volatility to potentially detect market trends. Before then, you may want to read this article on on tips for investors in volatile markets.

ETFMathGuy is a subscription-based education service for investors interested in using commission-free ETFs in efficient portfolios.
ETFMathGuy is a subscription-based education service for investors interested in using commission-free ETFs in efficient portfolios.
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Circuit Breakers and ETFs

Two times in the past week, circuit breakers halted market trading for 15 minutes. But, what is a circuit breaker and why are they used? And, how are they relevant to your ETF investments? We explore this topic of circuit breakers and ETFs more here.

What is a circuit breaker and why are they used?

Circuit breakers are common in homes, apartments, or any dwelling that uses electricity. They stop the flow of electricity and protect the circuit from damage. Analogously, financial markets use circuit breakers to protect investors from excessive selling when few buyers are available.

“It’s working as it’s designed to function so that the market can absorb what news was out over night, how investors are reacting so they can make decisions and everyone gets a chance to see what’s happening.”

New York Stock Exchange President Stacey Cunningham

The NYSE has three levels of circuit breakers used to stop trading, based on the S&P 500 index.

When the NYSE halts trading using circuit breakers
Source: CNBC

The NYSE triggered Level 1 circuit breakers on Monday and Thursday of this past week.

What about ETFs and Circuit Breakers?

Since ETFs also trade on financial exchanges, trading ETFs stops when a circuit breaker trigger occurs. When markets reopened this week after their 15 minute halts, the circuit breaker showed its worth by reducing market volatility. Our opinion at ETFMathGuy is to avoid trading during times of like these, due to market volatility increasing the bid-ask spread.

Daily Spread of the S&P iShares Core S&P 500 ETF (ticker: IVV)

As you can see in the image above, trading ETFs are more expensive due to the impact of the coronavirus. This image shows daily spreads over the last 12 months for the highly liquid iShare Core S&P 500 ETF. Recently, spreads increased by a factor of 4-5 times. Investors would be well served to think about their long term stock allocation strategy and risk tolerance. If possible, avoid selling at times like these to avoid these higher transaction costs. But, if you must trade, avoid selling immediately after markets re-open. Give the the price discovery process a chance to catch up.

ETFMathGuy is a subscription-based education service for investors interested in using commission-free ETFs in efficient portfolios.
ETFMathGuy is a subscription-based education service for investors interested in using commission-free ETFs in efficient portfolios.

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Diversification and February 2020 returns

The stock market experienced a significant drop in the month of February 2020. But, the bond market had a positive total return for the month. In this post, we discuss the benefits of a diversified portfolio during times of market stress, like seen in the February 2020 returns.

A big economic shock

Market returns for the the month of February 2020 were significantly impacted by the corona virus outbreak affecting the global economy. The S&P 500 index ETF (ticker: IVV) lost 8.5% in the month, but the iShares Core U.S. Aggregate Bond ETF (ticker: AGG) gained 1.6%. The stock market appears to be pricing in reduced earnings growth, due to the virus outbreak. Consequently, stock market sellers have rotated their investments into the bond market. Increased demand for bonds is driving up prices, and consequently returns, from bond investments.

The graphic below shows the total returns for the stock market, bond market, and two other portfolios for February, 2020.

Stock, bond and other portfolio returns in February 2020

Using a diversified portfolio and February 2020 returns

In hindsight, the bond market offered a higher return in February 2020. But, exclusively investing in bonds eliminates the possibility of the significant upside potential of the stock market, such as the 31.3% of the stock market in 2019.

One approach to managing risk while realizing some additional return is to invest in a 50% stock and 50% bond portfolio. For February 2020, this would have led to a 3.4% loss. However, wider diversification beyond the mainstream stock and bond markets offered a more substantial benefit. Specifically, the ETFMathGuy’s moderate risk portfolio (shown in a previous post) appears below. It returned 0.1% in February 2020, and was designed to match the volatility of the 50% stock and 50% bond portfolio.

The January ETFMathGuy moderate risk portfolio for taxable accounts.

The additional return comes from our optimal portfolio construction. ETFMathGuy portfolios diversify across other asset and sub-asset classes beyond stocks and bonds using a quantitative methodology. For instance, the portfolio above contains municipal bonds, commodity and tech sector exposure, among others. This diversified exposure has been very favorable to returns so far in 2020. But, market conditions are very dynamic. So, if you are looking for ideas on how to improve your portfolio’s diversification, please check out our current free and premium portfolios, constructed using the latest market data.

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Happy New Year from ETFMathGuy!

Happy New Year! To start this year, we made some significant updates to our services. Hopefully, you will find these updates useful as you evaluate your ETF investments.

New Menu Options To Access Optimal Portfolios for 2020

We have reorganized the menu at the top of ETFMathGuy.com to provide access to the 2019 and 2020 portfolios. You can still find them under the heading “Current Portfolios“.

We have also created two options for the 2020 portfolios. The first option is labeled “Free Optimal Portfolios for 2020”, and is accessible to all free subscribers of ETFMathGuy. It provides optimal portfolios generated each month using only Vanguard ETFs. So, please check out the January portfolios posted earlier today, and also now available to download for offline review. These portfolios are an excellent way to minimize expense ratios associated with ETFs, while keeping the number of ETFs in a portfolio to a minimum.

New menu options to access the 2019 and 2020 Optimal Portfolios
New menu options to access the 2019 and 2020 Optimal Portfolios

The other option is the “Premium Optimal Portfolios for 2020“. This option takes advantage of other parts of the financial market that Vanguard ETFs don’t reach, and analyzes over 2,000 commission-free ETFs. As a result, these portfolios are only accessible to premium subscribers. Like the free portfolios, they are also available for download.

All 2020 portfolios are available to download as PDF files.
All 2020 portfolios are now available to download as PDF files.

New Subscription Options

If you are interested in accessing the premium portfolios, we provide two payment options. As shown on the “Join Us” page, you can select either monthly or annual billing. Also, we accept credit card payments through our payment processor Stripe.

Price: $9.95 / month

Want to save over 30% on your monthly subscription each year? Then, consider paying once per year!

Price: $79.95 / year

Don’t want to upgrade your subscription? Well, that is not a problem. You can continue receiving our periodic commentary, access the free portfolios, and continue to test out our new interactive retirement income calculator.

Wishing you a wonderful 2020!

ETFMathGuy is a subscription-based education service for investors interested in using commission-free ETFs in efficient portfolios.
ETFMathGuy is a subscription-based education service for investors interested in using commission-free ETFs in efficient portfolios.

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Making sense of ETF Liquidity

In my last post, I discussed ETF liquidity risk. After the post, a subscriber to ETFMathGuy asked me to talk more about this risk and how it relates to the wide variety of commission-free ETFs now available.

Bid-ask Spreads

Bid-ask spreads are an excellent way to measure liquidity. Less liquid ETFs generally have higher bid-ask spreads. But, the liquidity of the securities held by the ETF also affects bid-ask spreads. The image below shows the distribution of bid-ask spreads for Fidelity commission-free ETFs, which I updated from my April 2019 post.

Bid-ask spread of Fidelity Commission-Free ETFs, as of 9/22/2019. Source: ETF.com, Fidelity.com
Bid-ask spread of Fidelity Commission-Free ETFs, as of 9/22/2019. Source: ETF.com, Fidelity.com

Minimizing costs

As we see from these results, there is a wide variation of bid-ask spreads. So, about half have spreads under 0.1%, and about 80% under 0.3%. For ETFs traded commission-free, these spreads are likely the largest contributor to cost of ownership. To reduce this cost, an investor can either buy-and-hold for extended periods, or choose ETFs with lower bid-ask spreads. Investors should also avoid trading ETFs close to the market open and close. Higher volatility over a typical trading day can often occur close to the market’s open and close, and can produce higher bid-ask spreads.

What about ETF liquidity during high market volatility?

It is very likely that, during periods of high market volatility, bid-ask spreads will grow. This growth is simply the result of finding a balance between supply and demand. Or, in the case of ETFs, this balance occurs when an ETF seller finds a buyer. Remember that, due to liquidity risk, we can expect a return premium over risk-free investments. If market volatility is a concern, investors should seek lower volatility investments (e.g. bonds over stocks), and/or seek lower volatility in their portfolio through diversification.

ETFMathGuy is a subscription-based education service for investors interested in using commission-free ETFs in efficient portfolios.
ETFMathGuy is a subscription-based education service for investors interested in using commission-free ETFs in efficient portfolios.
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Is there a bubble in ETFs?

The “hero” of the movie “The Big Short”, Michael Burry, has made some claims recently about a bubble in ETFs and market risks. Here, I discuss his concerns, and provide an alternate perspective.

Price discovery

One of the risks Michael Burry identifies is so-called price discovery. He claims that index funds have removed price discovery from the equity markets. I must disagree with this claim. For example, when an investor buys an S&P 500 index ETF, they are agreeing to pay the seller some price. This transaction is an implicit agreement on the value of the underlying securities. So, this is the very definition of price discovery, where supply and demand are in equilibrium.

” Simply put, it is where a buyer and a seller agree on a price and a transaction occurs. “

Definition of Price Discovery, Investopedia.

Liquidity Risk

Michael Burry also identifies liquidity risk, which occurs when an investor has trouble selling an investment at a desirable price. Liquidity risk is very real. ETF investors often realize this risk during significant market corrections through larger bid-ask spreads.

“…liquidity risk stems from the lack of marketability of an investment that can’t be bought or sold quickly enough to prevent or minimize a loss.

Definition of Liquidity Risk, Investopedia

While I agree that there is liquidity risk in ETFs, there is also liquidity risk in just about any financial investment. For instance, homeowners often face liquidity risk. So, you may wish to sell you home next month to move for a new job, but may not able to find a buyer willing to pay your asking price. In stock and bond ETFs, liquidity risk also occurs during times of market corrections. But, this risk occurs whether you own the individual stock, bond, or a fund that contains them. Taking this risk is part of the risk-reward payoff. That is, by taking additional risk, the investor realizes the possibility of higher returns.

Conclusions about a bubble in ETFs and market risks

So, how should an individual investor treat this opinion? Michal Burry’s solution is to be “…  100% focused on stock-picking.” My choice is to stick with ETFs, thanks to their simplicity and efficiency. Markets corrections will occur, so it’s not a matter of if, but when they occur. If, as an investor, you are not comfortable with these market risk, perhaps you should re-evaluate your risk tolerance and move to lower risk investments.

ETFMathGuy is a subscription-based education service for investors interested in using commission-free ETFs in efficient portfolios.
ETFMathGuy is a subscription-based education service for investors interested in using commission-free ETFs in efficient portfolios.