Tag: backtesting

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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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July 2019 optimal portfolios are now available and discussed in terms of recent and long-term market trends

The July 2019 optimal portfolios are now available to subscribers of ETFMathGuy. So, please log in and select your discount broker. In this post, we will also discuss more about risk and return in an optimal ETF portfolio.

As we mentioned in our last post, there are benefits to having more ETFs to choose from during the portfolio construction process. We showed the potential to increase expected returns. In this post, we highlight another important element – risk.

Risk and Return

Risk and return are two fundamental issue that are important to consider when investing in an ETF portfolio. The chart below shows risk (horizontal axis) and return (vertical axis). Here, we define risk as the annual volatility, measured by the standard deviation of daily returns. We evaluate risk and return using a multi-year sample period selected from our rigorous backtesting process. As this chart shows, the optimal portfolios reside at risk levels between the bond market (ticker: AGG) and stock market (ticker:IVV). And, these portfolios are efficient, since they were selected to maximize the expected return.

Risk (Volatility) and Expected Return in the July 2019 optimal portfolios. Notice that at each risk level (conservative, moderate and aggressive), different ETFs offered by different discount brokers leads to different expected returns.
Risk (Volatility) and Expected Return in the July 2019 optimal portfolios. Notice that at each risk level (conservative, moderate and aggressive), different ETFs offered by different discount brokers leads to different expected returns.

As this chart shows, cash can be nearly risk-less, based on volatility, but offers returns that may not exceed long-term inflation. Bonds can offer more of a potential return, but with added risk. Even more return is possible from the stock market for those willing to accept additional risk.

What about the last 6 months?

Indeed, it is true that the first half of 2019 has been very good for both stocks and bonds. Based on a recent Wall Street Journal article, “… S&P 500 finished Friday up 17% this year, marking its best first half since 1997 “. According to the site ETFreplay.com, and including dividends, the stock and bond market are up 18.3% and 5.8%, respectively, this year. Will this trend continue? I personally doubt anyone really knows, as I believe that markets are generally very efficient. A better question may be “What level of risk” or “How much exposure” do you want your investments to have in various parts of the market. To end this post, I’ll leave you with one (of many) famous quotes by Warren Biuffet.

“The stock market is a device to transfer money from the impatient to the patient.”

Warren Buffett

We hope you found this post educational!

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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June 2019 Optimal Portfolios are Now Available to ETFMathGuy subscribers

The June 2019 optimal portfolios are now available to subscribers of ETFMathGuy. So, just log in and select your discount broker.

You can now view the June 2019 optimal portfolios for the five discount brokers analyzed by ETFMathGuy. These portfolios cover nearly 1,500 ETFs currently offered commission-free from Ameritrade, ETrade, Fidelity, Schwab and Vanguard.

In all cases, we applied our rigorous portfolio construction process to produce the current portfolios. So, we encourage you to browse through these portfolios to review the following characteristics:

  • Allocation of bond versus stock ETFs in the optimal portfolio
  • Turnover from the previous month or months
  • The effect of risk level on the overall portfolio risk statistics
  • The increase in expected return as risk level increases

We hope you find these portfolios educational!

Where are the ESG funds in the 2019 optimal portfolios?

In our mid-April post, we updated the database used by ETFMathGuy to include the expanded list of commission-free ETFs offered by five discount brokers. We also mentioned one of the most popular themes to hit the ETF landscape, called Environmental, Social and Governance (ESG) investing. For example, Vanguard offers two of these ESG funds.

These two ETFs carry an expense ratio of 0.12% and 0.15%, respectively, consistent with Vanguard’s low-cost philosophy. So, why aren’t these funds appearing in the current portfolios developed by ETFMathGuy?

The short answer is that our portfolio construction process requires a sufficient return history. Based on our backtesting results, we identified an optimal sample period of several years. Unfortunately, the two Vanguard ETFs noted above have only existed since September 18, 2018, or about the last 8 and a half months. Consequently, this history is simply too short for our optimization model to generate portfolios that satisfy investor return expectations.

So, is ESG investing worthwhile?

This is an excellent question! In fact, based on a recent Wall Street Journal article, other experts in the industry shared our concern about a short return history.

“Many of these ESG ETFs are relatively young and have not had a chance to prove if they can demonstrate strong performance”

Todd Rosenbluth, senior director of ETF and mutual-fund research at CFRA

What does this mean for you? Well, if you are an investor focused on using your beliefs to guide your investment decisions, you may find this short history acceptable. However, here at ETFMathGuy, we prefer to make evidence-based decisions. So, we look forward to analyzing longer return histories that may show how ESG funds could be part of an optimal portfolio.

ETFMathGuy is a subscription-based education service for investors interested in using commission-free ETFs in efficient portfolios. June 2019 optimal portfolios are now available.
ETFMathGuy is a subscription-based education service for investors interested in using commission-free ETFs in efficient portfolios.