I am frequently asked about performance and backtest results for my Dual Momentum portfolio, which is inspired by Gary Antonnaci at Optimal Momentum.
I recently began using AllocateSmartly to test some of my favorite tactical strategies, including Dual Momentum. AllocateSmartly tracks some of the most popular tactical asset allocation strategies, with thorough, up-to-date backtests, and users can combine the strategies to create and test their own custom model portfolio.
The first Dual Momentum strategy is very similar to the strategy I update monthly on Scott’s Investments.
The strategy divides the portfolio into four “modules”, each targeted to a different component of financial markets: equities, credit risk, real estate, and stress. From each module, the strategy selects either one of two related asset classes, or cash. The four modules and their associated assets are as follows:
- Equities: US equities (SPY) or international equities (EFA)
- Credit risk: US corporate bonds (LQD) or US high yield bonds (HYG)
- Real estate: equity REITs (VNQ) or mortgage REITs (REM)
- Economic stress: gold (GLD) or long-term US Treasuries (TLT)
The test below trades on the last trading day of each month. You will note the backtest extends further than the launch date for any of the ETFs. In order to extend the backtests as far into the past as possible, AllocateSmartly often makes use of simulated data from an alternative sources. For example, an alternative data source for SPY could be the Vanguard S&P 500 mutual fund (VFINX).
The second dual momentum strategy is the GEM strategy from Antonacci’s book Dual Momentum Investing.
The strategy rules tested are below:
- At the close on the last trading day of the month, measure the 12-month return of SPY, EFA (international equities) and BIL (short-term Treasuries).
- If the return of SPY is greater than BIL (absolute momentum), go 100% long either SPY or EFA, depending on which has the highest return (relative momentum).
- If the return of SPY is less than BIL, go 100% long AGG (US aggregate bonds).
- Positions are held until the last trading day of the following month.
The time frame for this test is much longer than the first test, 1971 – present:
Backtest data courtesy of AllocateSmartly – if you are interested in receiving monthly updates for this strategy or many other tactical strategies give them a try!
Stay tuned for an updated Dual Momentum backtest using Allocate Smartly
Scott’s Investments provides a free “Dual ETF Momentum” spreadsheet which was originally created in February 2013. The strategy was inspired by a paper written by Gary Antonacci and available on Optimal Momentum. Antonacci’s book, Dual Momentum Investing: An Innovative Strategy for Higher Returns with Lower Risk, also details Dual Momentum as a total portfolio strategy.
My Dual ETF Momentum spreadsheet is available here and the objective is to track four pairs of ETFs and provide an “Invested” signal for the ETF in each pair with the highest relative momentum. Invested signals also require positive absolute momentum, hence the term “Dual Momentum”.
Relative momentum is gauged by the 12 month total returns of each ETF. The 12 month total returns of each ETF is also compared to a short-term Treasury ETF (a “cash” filter) in the form of iShares Barclays 1-3 Treasury Bond ETF (SHY). In order to have an “Invested” signal the ETF with the highest relative strength must also have 12-month total returns greater than the 12-month total returns of SHY. This is the absolute momentum filter which is detailed in depth by Antonacci, and has historically helped increase risk-adjusted returns.
An “average” return signal for each ETF is also available on the spreadsheet. The concept is the same as the 12-month relative momentum. However, the “average” return signal uses the average of the past 3, 6, and 12 (“3/6/12″) month total returns for each ETF. The “invested” signal is based on the ETF with the highest relative momentum for the past 3, 6 and 12 months. The ETF with the highest average relative strength must also have an average 3/6/12 total returns greater than the 3/6/12 total returns of the cash ETF.
Portfolio123 was used to test a similar strategy using the same portfolios and combined momentum score (“3/6/12″). The test results were posted here.
Below are the four portfolios along with current signals:
Return Data Provided by Quandl
The Dual ETF Momentum spreadsheet also has four additional sheets using a dual momentum strategy with broker specific commission-free ETFs for TD Ameritrade, Charles Schwab, Fidelity, and Vanguard. It is important to note that each broker may have additional trade restrictions and the terms of their commission-free ETFs could change in the future.
The High Yield Dividend Champion Portfolio is a publicly tracked stock portfolio on Scott’s Investments. Its goal is to capture quality high yield stocks with a history of raising dividends.
The screening process for this portfolio starts with the “Dividend Champions” as compiled by DRIP Investing. The list is comprised of stocks that have increased their dividend payout for at least 25 consecutive years. Stocks are then ranked on yield, P/E and 3 year dividend growth rate and assigned an overall rank.
Stocks are sold on the re-balance date (generally around the 5th of the month) when they drop out of the top 15 (to limit turnover) and are replaced with the next highest rated stock.
The top 25 stocks are below and displayed in order of their overall ranking (figures are from the end of April):
|Altria Group Inc.
|T. Rowe Price Group
|Helmerich & Payne Inc.
|Weyco Group Inc.
|Old Republic International
|People’s United Financial
|Sonoco Products Co.
|Genuine Parts Co.
|National Retail Properties
|United Bankshares Inc.
|Archer Daniels Midland
|Eagle Financial Services
|Federal Realty Inv. Trust
|Procter & Gamble Co.
|W.W. Grainger Inc.
|Community Trust Banc.
There is no turnover in positions this month.
The current portfolio is below:
||Average Purchase Price
||Initial Purchase Date
||Percentage Gain/Loss Excluding Dividends
Note: Due to current technical issues with Google Sheets, the Ivy Portfolio spreadsheet may be unstable. Since the site relies on free data resources/tools and my free time to implement them there is no time frame for a resolution.
The Ivy Portfolio spreadsheet track the 10 month moving average signals for two portfolios listed in Mebane Faber’s book The Ivy Portfolio: How to Invest Like the Top Endowments and Avoid Bear Markets. Faber discusses 5, 10, and 20 security portfolios that have trading signals based on long-term moving averages.
The Ivy Portfolio spreadsheet on Scott’s Investments tracks both the 5 and 10 ETF Portfolios listed in Faber’s book. When a security is trading below its 10 month simple moving average, the position is listed as “Cash”. When the security is trading above its 10 month simple moving average the positions is listed as “Invested”.
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The spreadsheet signals update once daily (typically in the late evening) using dividend/split adjusted closing price from Quandl, which is a change from previous posts when I relied on Yahoo.
The “current” 10 month simple moving average is based on the most recent 10 months including the current month’s most recent daily closing price (columns C and D). This methodology may differ slightly from other sites or monthly moving average signals – every day during the current month is treated as if it is that months closing price. This provides continuous updates throughout the month but even though the signals update daily, it is not an endorsement to check signals daily or trade based on daily updates. It simply gives the spreadsheet more versatility for users to check at his or her convenience.
I have also added a column (E) to display a cash or invested signal based on the most recent full month’s closing price. This signal will not update throughout the month as it is based on last month’s closing price and the 10 month moving average at the end of last month.
The current signals based on April’s adjusted closing prices are below. At the end of April GSG, DBC, and VNQ were below their 10 month moving averages. Since the screen capture below was after May 1st’s close, there are some differences in the signal based on April’s close and the “current” SMA which includes May 1st.
The spreadsheet also provides quarterly, half year, and yearly return data courtesy of Quandl. I made the switch to Quandl in an attempt to stabilize the portfolio; however, Finviz is still an excellent data source. The return data is useful for those interested in overlaying a momentum strategy with the 10 month SMA strategy: