Bond ETFs amid rising interest rates

Interest rates continue to rise, with the Federal Reserve recently raising its benchmark rate to a range of 5.25% to 5.5%. While borrowers may face higher costs, new investors in short-term Treasurys now realize these higher annual rates. However, investors in certain bond ETFs could also realize this rate with added liquidity, and convenience, while potentially avoiding state and local taxes.

US Treasury Bills are backed by the full faith and credit of the U.S. Government

Short-term investment options

There are several common approaches for investing in the short term, which we characterize as less than one year. Thankfully, these investments have zero default risk because the full faith and credit of the US Government backs them.

These investments include bank CDs, direct purchases of US short-term Treasury bills, money market funds, and certain Bond ETFs. Firstly, bank CDs and money market funds may be the most convenient for individual investors. Short-term bank CDs are currently yielding over 5%, and money market funds provide similar returns within most brokerage accounts. Unfortunately, both of these short-term investments are often subject to both state and federal income taxes. For residents of California, Hawaii, and New Jersey, the top state income tax rate exceeds 10%.

Bond ETFs for Tax-efficient investing in the short term

Alternatively, similar returns are possible if an investor chooses to purchase short-term Treasury bills from the U.S. Department of the Treasury. Or, an investor may purchase US Government Bonds ETFs. Both of these options are exempt from state taxes. However, treasury bills have maturity dates of 4, 8, 13, 26, or 52 weeks. So, at maturity, the investor receives back their investment plus interest. That means that an investor would need to regularly re-invest in treasuries at TreasuryDirect.gov.

To avoid the need to continually re-invest, and likely avoid state taxes, there are several short-term Bond ETFs to choose from. Here are just a few, that with reinvested dividends have returned 2.5-2.8% so far this year (e.g. from December 30, 2022, to July 28, 2023).

  • SPDR Bloomberg 1-3 Month T-Bill ETF (ticker: BIL)
  • iShares Short Treasury Bond ETF (ticker: SHV)
  • Goldman Sachs Access Treasury 0-1 Year ETF (ticker: GBIL)
  • iShares 0-3 Month Treasury Bond ETF (ticker: SGOV)
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 tax-efficient investing with ETFs

2023 Mid-Year Review of Stock-Based ETFs

With the first half of 2023 now past, we devote this post to a mid-year review of ETFs in a variety of stock sectors within the S&P 500. As we will see, while this broad market index of large-cap stocks did well, there was significant variation in returns across the sectors of the S&P 500.

Sectors of the S&P 500

There are 11 sectors in the S&P 500 as shown below. While some of these sectors have several ETFs tracking them, we choose the ETFs in parentheses due to their long history in the markets.

  • Information Technology (XLK)
  • Health Care (XLV)
  • Financials (XLF)
  • Consumer Discretionary (XLY)
  • Communication Services (XTL)
  • Industrials (XLI)
  • Consumer Staples (XLP)
  • Energy (XLE)
  • Utilities (XLU)
  • Real Estate (IYR)
  • Materials (XLB)

Using this list and reinvesting dividends, we see that some sectors had total returns that did very well in the first half of 2023, and several did not.

2023 mid-year review of S&P 500 sector ETFs
2023 Mid-year review of S&P 500 sector ETFs. Total Returns. Source: https://www.etfreplay.com/charts.aspx

2023 mid-year sector winners

As the figure shows, the technology and consumer discretionary sectors had the highest total return so far in 2023. In retrospect, the technology sector gains were possibly fueled by sector layoffs that didn’t appear to hurt the investor’s view of the future profitability of this sector. Similarly, future expected consumer discretionary spending gave investors significant confidence in this sector. And, overall, the S&P 500 gained nearly 17% in the first half of 2023. At this rate, the effect of the 3rd year in a presidential cycle on stocks may remain true in 2023.

Losses in the first half of 2023

The energy and utility sectors were the worst-performing sectors of the S&P 500 in the first half of 2023. With increasing interest rates, long-term investments by these sector participants are becoming increasingly expensive. So, it appears that investors don’t see strong prospects for profitability in these sectors.

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 tax-efficient investing with ETFs

Inflation and ETFs

Inflation continues to persist higher than its long-term norm. Very few sectors of the U.S. economy have performed well. In this article, we discuss how ETFs designed with inflation in mind have fared in this current economic environment.

Historical rates of inflation

The U.S. Bureau of Labor Statistics (BLS) is an excellent free source of historical rates of inflation. The image below shows this data for the last 20 years. Clearly, the current inflation rate is above the norm of 2-3%. However, it does appear to be down somewhat from its high in June. Fortunately, we don’t see any recent “grey” area in this chart, which represents the U.S. in a recession, as determined by the National Bureau of Economic Research.

Inflation rates are still elevated above their long-term norm, but off of recent highs from June 2022

ETFs to protect against inflation

We chose three ETFs to show that not all ETFs are created equal in addressing inflation. Here, the acronym “TIPS” stands for “Treasury Inflation-Protected Securities”.

  • iShares Barclays TIPS ETF (ticker: TIP), $25B in assets
  • SPDR Bloomberg Barclays 1-10 Year TIPS ETF (ticker: TIPX), $1.4B in assets
  • Vanguard Short-term 0-5 year Inflation Protected ETF (ticker: VTIP), $17B in assets

    The most significant difference in these three ETFs is the term to maturity of the bonds contained within them. This difference has led to very different total returns for these three ETFs in 2022, as shown below.

    2022 Year-to-Date Total Return of Three ETFs offering inflation protection

    So, what’s going on?

    As one of my favorite writers at the Wall Street Journal recently wrote about, rising short-term interest rates are having greater impacts on the price of longer-dated bonds. This impact includes treasuries with inflation protection which each of these ETFs contains. The weighted average maturities for these three ETFs are 7.4 years, 4.7 years, and 2.5 years. By comparison, the broad-based iShares Core U.S. Aggregate Bond ETF has a weighted average maturity of 8.7 years and is down about 11% in 2022. So here, we see the limitation of a fund, like an ETF, that maintains a steady average maturity. Rising interest rates are offsetting the inflation benefit. Unfortunately, investors can avoid this with a bond ladder, but doing so requires investors to leave the relative ease of investing in ETFs.

    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 tax-efficient investing with ETFs

    Asset Correlations in 2022

    In 2022, many long-term trends in asset correlation appear to be changing. In this post, we discuss the longer-term trends in several popular asset class correlations and highlight recent changes that continued from the first half of the year.

    Short-Term Correlations and Long-Term Trends

    The stock and bond markets continued their downward slide this month. The iShares Core S&P 500 losses for 2022 reached 24%. In addition, the bond markets continue their losses for the year, with the iShares Core U.S. Aggregate Bond Market ETF down about 15%. This latter result is quite surprising, given the long-term correlation between the stock and bond market is 5%, but has recently grown to over 40%. Thus, the stock and bond market returns are more similar than they were in the past, so provide fewer diversification benefits. The chart below shows this upward trend in the correlation between the stock and bond markets in blue. The horizontal dotted line shows the long-term correlation from returns dating back to February 2004.

    90-Day Asset Correlation of Total Returns against the S&P 500 Index
    90-Day Asset Correlation of Total Returns against the S&P 500 Index

    Asset Correlation Among Other Sources

    The chart above also highlights the diminished effect of other sources on a portfolio’s diversification. For example, international equities are often sought for their diversification benefit. However, the long-term correlation of 88%, which also appears in this figures legend, hasn’t changed much this year. Bitcoin’s long-term correlation is 21%, but this correlation has steadily grown to over 60% this year. The one asset that has performed well this year is a direct investment in the U.S. Dollar ETF, ticker UUP. Long-term, the dollar has an insignificant correlation to the S&P 500. However, in 2022, the dollar’s correlation to the S&P 500 has grown significantly negative, as interest rate rises have increased demand for U.S. dollars. The chart below shows the total return of the five ETFs discussed here.

    2022 year to date returns of a variety of assets classes
    2022 Total Returns for ETFs associated with the S&P 500, Bonds, International, Bitcoin, and U.S. Dollars.

    Given the economic pressures creating these effects on the markets, the remainder of 2022 may continue to surprise investors. In particular, asset classes that formerly had low correlations to the stock market may continue to diverge from their long-term values.

    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 tax-efficient investing with ETFs

    Cryptocurrency in 2022

    It has been a very difficult year for cryptocurrency investors. Here, we will discuss the recent trend of cryptocurrency returns. Also, we will highlight the current cost of cryptocurrency mining, and share some thoughts on the future of this asset.

    Cryptocurrency returns in 2022

    Year-to-date returns of Bitcoin, Ethereum, and the first ETF that tracks bitcoin futures (ticker: BITO) appear below. Like the stock and bond markets, all three of these assets lost value in 2022. Also, in our previous post on the risks of cryptocurrencies, the volatility of all of these cryptocurrency assets was significantly higher than the long-term historical norm of 15-20% for the S&P 500.

    Total returns for the  Grayscale Bitcoin Trust  (GBTC), the Grayscale Ethereum Trust (ETHE) and the first ETF linked to bitcoin futures BITO.
    Total returns for the  Grayscale Bitcoin Trust  (GBTC), the Grayscale Ethereum Trust (ETHE), and the first ETF linked to bitcoin futures BITO.

    Bitcoin miners

    Like oil, natural gas, and precious metals, there is a cost to “mine” bitcoin. Economic theory for commodities suggests that, when demand is constant, rising prices should increase production, since even less efficient miners can operate profitably. However, as prices drop, less efficient producers will exit, and less production of a commodity will occur, thereby stabilizing prices. That may be occurring now, as the price to mine one bitcoin is in the $20,000 to $34,000 range. As of July 31, 2022, the price of one bitcoin was within this range, with a value of $23,819.

    Production cost of bitcoin, the most popular cryptocurrency.  Source:  TradingView
    Bitcoin production cost. Source: TradingView

    The Future of Cryptocurrency

    The future of cryptocurrency remains uncertain. However, few expect these new innovations in decentralized finance to go away. Instead, we may see longer-term price stabilization, as the investment in mining produces enough cryptocurrency to satisfy demand. Such price stabilization may not entice investors seeking outsize returns but could help cryptocurrency gain wider acceptance if its volatility can also be reduced.

    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 tax-efficient investing with ETFs

    Mid-year review of stock-based ETFs

    With the 1st half of 2022 now behind us, we devote this post to a mid-year review of ETFs in a variety of stock sectors. We also highlight some recent research on sectors that have historically held up well during periods of high inflation, and the benefit of time horizon when investing in stocks. We hope you find this mid-year review helpful!

    Record-breaking 1st half of 2022

    According to this MarketWatch article, the S&P 500 recorded its steepest 1st-half year loss in over 50 years. But, remember that the S&P 500 is a broad-based index consisting of many different companies across a variety of industries. In fact, there are 11 sectors in the S&P 500, which in order of size (and an ETF to represent them) are:

    • Information Technology (XLK)
    • Health Care (XLV)
    • Financials (XLF)
    • Consumer Discretionary (XLY)
    • Communication Services (XTL)
    • Industrials (XLI)
    • Consumer Staples (XLP)
    • Energy (XLE)
    • Utilities (XLU)
    • Real Estate (IYR)
    • Materials (XLB)

    Mid-year review of best and worst performing sector ETFs

    The chart below sorts the total return for the 11 ETFs identified above for 2022. As can be seen here, the biggest gains were among the energy sector (XLE) and the worst in consumer discretionary (XLY). Over this same period, the S&P 500 total return, measured by the iShares Core S&P 500 ETF (ticker: IVV) was -19.2%. Also, note that the energy sector was the only ETF here that saw a positive return, which is not surprising given the war in Ukraine and its impact on supply in the energy sector.

    Mid-year review of returns from 11 sector-ETFs in the S&P 500 Index
    Mid-year review of returns from 11 sector-ETFs in the S&P 500 Index

    Where will stocks go from here and what to do about it?

    Given the current high inflation rates, Derek Horstmeyer at George Mason University recently showed the following “inflation fighters” in his June 5th Wall Street Journal Article.

    Best performing sectors during periods of high inflation.  Source:  Derek Horstmeyer
    Best performing sectors during periods of high inflation. Source: Derek Horstmeyer

    Of course, the most prudent course of action may be to simply do nothing based on this mid-year review. Given longer investment horizons, the stock market is less likely to suffer losses. Based on Bank of America research, the chart below supports this fact.

    But, as this article notes, behavioral economists know that the pain of loss is greater than the pleasure of gains. So, the 2nd half of this year remains quite uncertain, as market volatility remains elevated.

    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 tax-efficient investing with ETFs

    Using simulation to measure risk in meeting your retirement savings goals

    In our last post, we introduced a new calculator to help you forecast your retirement savings. Part of this introduction showed you how the uncertainty in the markets may affect your savings forecast. So here, we summarize the differences between the two simulation options available in our new retirement savings calculator: bootstrapping and geometric Brownian motion.

    Simulation of asset prices helps manage savings risks.  (The vertical axis is price. The horizontal axis is time.)
    Simulation of asset prices helps manage savings risks. (The vertical axis is price. The horizontal axis is time.)

    Why use simulation?

    Simulation, or often termed “Monte Carlo” simulation, is a scientific method to model future uncertainty using a random number generator. In the case of our savings calculator, it models the uncertainty of annual stock and bond returns. By running many simulation trials, each trial can represent one of many possible outcomes for investment returns over your planning horizon. Then, you can see what risk you may be taking in assuming a more pessimistic or optimistic account balance at retirement. For example, using default inputs to our model, a retiree can expect their future tax-deferred account balance to be likely more than $629,047, but likely not more than $1,073,058. (These values are based on default 25th and 75th percentiles. Our calculator allows these levels to be adjusted.)

    Simulation provides a range of possible account values and the risk associated with achieving them.
    Simulation provides a range of possible account values and the risk associated with achieving them.

    Bootstrapping

    The two most common approaches to simulation are bootstrapping and geometric Brownian motion. Bootstrapping uses historical returns of stocks and bonds, and randomly samples from them for each trial to develop simulated returns. For our model, we reconstructed annual returns for an S&P 500 ETF and aggregate bond ETF from 1989 to 2021. We used the same methodology described by DiLellio (2018). Retirees benefit from using bootstrapping since it preserves the historical distribution of stock and bond returns, as well as the correlation of their returns. In particular, extreme market shocks, like the financial crisis of 2008-2009, the dot-com bubble burst of 2001, and the Covid-19 pandemic of 2020 are all included when simulation uses bootstrapping.

    One approach to simulating future returns is termed bootstrapping, where we simulate returns by random selection from a set of historical returns. In our calculator, we use annual returns from an S&P 500 and aggregate bond index ETF from 1989 to 2021. This approach has the benefit that it accurately represents the past, including the large market corrections in the financial crisis of 2008-2009, the dot-com bubble bursting in 2001, and the global pandemic in 2020. You can read more about this simulation approach in this peer-reviewed research in DiLellio (2018).

    Geometric Brownian Motion

    However, what if the future isn’t entirely represented by the past? In this case, we can use the geometric Brownian motion (GBM) stochastic process to simulate future stock and bond prices. Why? Using a GBM permits you to dictate return behavior using a normal distribution of asset returns. This simulation approach gives the retiree complete control over future returns. And, the retiree can select volatility and correlations of stock and bond returns. Lastly, GBM is the foundation for the famous Black-Scholes Option pricing formula. Unfortunately, GBM does not capture extreme events well. The image below from DiLellio (2018) shows how the normal distribution does a fair job, but not a perfect one, of fitting stock and bond returns.

    Daily return distribution of stock (top pane) and bond market (bottom pane) indices. Two normal distributions are also shown, with volatility estimates using historical returns from 1989-2017. Reducing the volatility appears to provide a slightly improved fit near the center of the distribution, but worsens the fit in the distribution tails.
    Daily return distribution of stock (top pane) and bond market (bottom pane) indices. Two normal distributions are also shown, with volatility estimates using historical returns from 1989 to 2017. Reducing the volatility appears to provide a slightly improved fit near the center of the distribution, but worsens the fit in the distribution tails. Source: DiLellio (2018) Risk and reward of fractionally leveraged ETFs
    in a stock/bond portfolio, 27 Financial Services Review
    .

    So, which simulation approach is better?

    The short answer is “it depends”. Like any mathematical model, they both have their own strengths and limitations. Fortunately, you can use either of these models to develop your savings plan. In fact, we hope you consider using both, to best understand the risk of achieving your savings goals!

    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 tax-efficient investing with ETFs

    Inflation Hedging

    Inflation hedging continues to be of great interest for investors large and small. In this post, we quantify some possible ways to combat inflation based on a recent article in the WSJ.

    Historical Inflation Trend

    Inflation is currently around 6%, well above the 2% rate seen recently. The chart below shows how most of this change occurred in 2021. This rate is well above the 2% long-term target set by the Federal Reserve. So, what are some options for investors in this current inflation climate?

    Inflation is about 6% in late 2021

    Treasury inflation-Protected Securities (TIPS)

    TIPS are one of the most obvious places investors look for inflation hedging. The iShares TIPS Bond ETF (ticker: TIP), with over $30 billion in assets, is a popular option. This ETF has performed notably better than a broad bond benchmark, like the iShares Core U.S. Aggregate Bond ETF (ticker: AGG), as the chart below illustrates. Note that while TIP has slightly higher volatility than AGG, it performance in 2021 is noticably better. In fact, according to ETFReplay.com, the 2021 year-to-date return of TIP is 5.4%, versus -1.0% for AGG.

    Commodities

    There are certainly other options investors can consider. For example, investors often seek commodity investments when inflation rises. This recent study by Vanguard indicated that a 1% rise in inflation could produce a 7-9% rise in commodities. This estimate looks surprisingly accurate, as the ETF DBC (PowerShares DB Commodity Index) should be up 28-36% in 2021, given the inflation rate increase this year from 2% to 6%. In fact, DBC is up 32.7% in 2021, according to ETFReplay.com

    Updated optimal portfolios

    For subscribers of our ETF optimal portfolios, we encourage you to log in to see the latest updates. Note that, based on our latest backtesting, monthly portfolios change more quickly now to respond to market dynamics.

    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.

    Bitcoin ETFs may arrive soon, but returns may surprise ETF investors

    Investor interest in cryptocurrency and bitcoin remains high. This week, ETF investors may see the first futures-based bitcoin ETFs. Here, we discuss the introduction of bitcoin ETFs, and why they may not perform as ETF investors expect.

    person putting bitcoin in a piggy bank
    Photo by Alesia Kozik on Pexels.com

    Set to debut this week and next week

    According to this ETF.com article, October 18th could be the first effective date that two bitcoin ETFs are set to debut. And, another bitcoin ETF could become available a week later, on October 23rd, and a fourth potentially available on October 25th. But, its important to note that each of these ETFs depend on futures contracts for their bitcoin exposure. Therefore, none of them hold bitcoin to provide direct exposure to the spot market. Instead, the most direct exposure for investors seeking bitcoin remains the Grayscale Bitcoin Trust (GBTC), which typically trades at a premium. In fact, we wrote about the risks and taxation of GBTC earlier this year.

    What can happen with futures-based ETFs?

    Sadly, futures-based ETFs can often not match the corresponding price performance of the spot market. For example, ETF investors wishing exposure to West Texas Intermediate crude oil price changes could buy the United States Oil Fund ETF (ticker: USO) Unfortunately, a phenomenan called “contango” can occur when the price of the futures contract exceeds the expected future spot price. So, the fund loses money when it replaces expiring contracts with near-term future contracts. Consequently, over time, futures-based ETFs tend to underperform the spot price market.

    “These kinds of vehicles are primarily meant to be used by active traders to hedge or short positions.  They are not meant as long-term buy and hold vehicles.”

    source: CNBC.com.

    A better way to track bitcoin in an ETF

    Fortunately, there is some good news about bitcoin ETFs. Greyscale has indicated it may convert its current bitcoin fund into an ETF. If they do, this ETF’s investment returns wouldn’t be subject to contango, and won’t suffer from the return drag of futures-based bitcoin ETFs. However, the Securities and Exchange Commission (SEC) current commissioner has stated he prefers approving ETFs backed by bitcoin futures. So, ETF investors interested in bitcoin may wish to continue to wait or seek alternatives outside the ETF space.

    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.

    Backtesting for 2021 and ETFMathGuy portfolio enhancements

    Due to portfolio performance not meeting our recent expectations, we revisited our backtesting results from August 2018 and produced important new insights and portfolio construction enhancements. We discovered that a longer sample period, identified previously, no longer applied. The image below shows that a three-month sample period produced the best returns from January 2020 to August 27, 2021. Each point on this line plot represents annualized backtested performance for 19 monthly portfolios over this testing period.

    Backtesting for 2021 to find the optimal sample period (months) for ETFMathGuy Portfolio Construction
    Backtesting for 2021 to find the optimal sample period (months) for ETFMathGuy Portfolio Construction

    What performance predictions occurred with this shorter sample period?

    Using this shorter sample period, we produced the plot below of total return since January of 2020. We chose this time period to include the full pre and post-term effects of the coronavirus on the world economy. In addition, and based on subscriber feedback, we now exclude ETFs that issue K-1 tax forms to investors. We made this decision because these 22 ETFs had a marginal effect on backtested performance that used over 1,000 other ETFs that do not issue K-1s. We also increased our ETF filter threshold of median volume to improve liquidity for future portfolios that will likely have a higher turnover rate. The consequences of these decisions on backtested performance appear below.

    Backtested Returns from 2020-2021 of the ETFMathGuy Optimal Portfolios
    Backtested Returns from 2020-2021 of the ETFMathGuy Optimal Portfolios

    Future ETFMathGuy portfolios

    Given the improvement potential identified from this updated backtesting for 2021, all portfolios published in September 2021 and later will follow these updated findings. This update for the September portfolios will likely indicate a significant change from the August portfolios. However, future monthly portfolios will change less significantly. So, we encourage subscribers to log in and see the September ETFMathGuy portfolios that are based on this evidence-based analysis.

    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.