A new enhanced Global Market Rotation Strategy with adaptive ETF investment allocation

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Update: See the current performance of this ETF investment strategy here.

A new enhanced Global Market Rotation Strategy with adaptive ETF investment allocation

The GMR strategy performed well during the last 10 years. Especially during years with a strong trend in one of the 5 world markets, this strategy was able to switch early to the best ETF and stay invested until another market ETF took the lead.
A known problem for such monthly rotation strategies have been years like 2014 with no clear trend in the markets. During 2014, conflicts like Syria or Ukraine or the fear that the US market may have culminated and is ready for a correction, made investors switch several times in “risk off” mode which favors safe haven assets like our long term EDV or TLT Treasury. The bad thing was, that shortly after they switched back to “risk on” mode favoring our stock market ETFs. Such a whipsaw market is bad for “switching” rotation strategies and as a result, our GMRS strategy shows a negative return for 2014.
The strategy had two big monthly losses, both with foreign market ETF investment and both times because of a soaring dollar after a FED statement.
In fact most of the times a full switch from a stock market ETF investment to a treasury ETF is not the best strategy. Better is to keep both stock market and Treasury ETF investment and change the allocation gradually.
In January I proposed to invest 20% in a short TMV Treasury hedge which is about equal to a nearly 50% TLT hedge. This was a first approach to tell you that in such years it is better to invest in both, stock market and Treasury ETF investment.
This hedge has performed extremely well in 2014. TMV is 46% up and TLT is up 20% for the year, which is about a 10% contribution to the GMRS strategy. The subscribers which have invested in this hedge should still have a 4% positive return for GMRS year to date.
The disadvantage was, that many subscribers did not know always exactly, how much to invest in Treasuries and I also had every month questions about when to close this hedge because of the rising rates.

Rebalancing your ETF investment

To make it simple, the new Global Market Rotation Strategy is now always investing in an optimized ratio of a stock market ETF (MDY, FEZ, EEM, ILF, EPP) and a Treasury ETF (EDV).
I will for example tell you to invest in 50% MDY + 50% EDV for the month to come, so to keep your ETF investment in balance
The strategy has an adaptive allocation which can go from 0%-100% to 50%-50% to 100%-0% depending of the market situation.
The way to calculate the optimum composition is done by calculating which composition between stock market ETF (MDY, FEZ, EEM, ILF, EPP) and Treasury ETF (TLT) had the maximum Sharpe ratio during the last 40-70 days. During normal market periods, you will not get the maximum Sharpe ratio with a 100% stock market or at a 100% TLT investment, but with something in between. To calculate this maximum Sharpe ratio, I loop through all possible compositions from 0% StockMarket – 100% Treasury to 100% StockMarket- 0% Treasury and calculate the resulting Sharpe ratios for the look back period.
As a result I get a curve like this (result of July 21, 2014 for a SPY-TLT combination):

ETF Investment

The interesting thing is that the 60%-40% combination of SPY-TLT gets with 5.27 a considerably higher Sharpe ratio then SPY (3.38) or TLT (2.01) alone. This is because the inverse correlation of the two ETFs reduces volatility (risk) a lot.
Another enhancement is, that I do not use the normal Sharpe ratio formula which is sharpe=r/sd, but
sharpe=r/(sd^f) with r=return, sd=standard deviation and f=volatility factor. The f factor allows me to give volatility an optimized weight.
The Backtest of this new strategy achieves a Return to Risk (Sharpe) ratio, which is more than twice the Sharpe ratio of the old strategy. The difficult year 2014 would have resulted in a 17.1% profit instead of a -6.25% loss for the unhedged old strategy.

etf investment strategy

Full backtest from 31.12.2007 – 19.10.2014


Investments with percentage allocationsYou may probably think that the old strategy was still better because of the higher return, but this is not the case. Only return means nothing. The old strategy was in fact more leveraged and risky, because the investment was always 100% in the best ETF. The new strategy normally only invests about 50% in the stock market ETF (green chart). The other 50% are used as a hedge to reduce risk. The green chart below shows you the percentage invested in the stock market ETF.

etf investment rotation

Here you can see the ETF allocations backtested since 2007. For the FEZ ETF I have used IEV as a replacement, because FEZ did not exist in 2008.
The Sharpe ratio used for the allocation is a modified Sharpe. Sharpe is return divided by standard deviation (sharpe=rd/sd). In our case, we can increase the importance of low volatility with a power factor (sharpe=rd/sd^f). This results then in much higher artificial Sharpe numbers.

DateSharpe                Holdings
12/31/2007          1,129,109MDY:40%EDV:60%
1/31/2008             186,120ILF:30%EDV:70%
2/29/2008             150,027ILF:70%EDV:30%
3/31/2008             338,703ILF:60%EDV:40%
4/30/2008             840,682IEV:80%EDV:20%
5/30/2008          2,947,827MDY:50%EDV:50%
6/30/2008             916,378MDY:60%EDV:40%
7/31/2008            (39,792)MDY:0%EDV:1.0%
8/29/2008             919,577MDY:20%EDV:80%
9/30/2008             354,919MDY:10%EDV:90%
10/31/2008               70,660MDY:0%EDV:1.0%
11/28/2008             165,574MDY:20%EDV:80%
12/31/2008             330,343MDY:30%EDV:70%
1/30/2009               75,955ILF:70%EDV:30%
2/27/2009               85,547ILF:70%EDV:30%
3/31/2009                3,152ILF:1.0%EDV:0%
4/30/2009             197,904EEM:90%EDV:10%
5/29/2009             590,333EEM:80%EDV:20%
6/30/2009             473,191MDY:70%EDV:30%
7/31/2009             757,333MDY:70%EDV:30%
8/31/2009          4,598,559MDY:60%EDV:40%
9/30/2009          7,079,106MDY:60%EDV:40%
10/30/2009          3,199,985EDV:50%MDY:50%
11/30/2009          1,727,388ILF:70%EDV:30%
12/31/2009             645,519EDV:0%MDY:100%
1/29/2010               60,508MDY:1.0%EDV:0%
2/26/2010             852,496MDY:1.0%EDV:0%
3/31/2010          2,779,258MDY:80%EDV:20%
4/30/2010        14,570,928MDY:50%EDV:50%
5/28/2010        12,231,739MDY:40%EDV:60%
6/30/2010          8,277,299MDY:30%EDV:70%
7/30/2010          5,704,127EEM:60%EDV:40%
8/31/2010          8,231,850EPP:70%EDV:30%
9/30/2010          8,896,873EEM:80%EDV:20%
10/29/2010          5,331,729MDY:60%EDV:40%
11/30/2010          9,402,351MDY:70%EDV:30%
12/31/2010        10,556,999MDY:80%EDV:20%
1/31/2011          8,759,029MDY:80%EDV:20%
2/28/2011        18,047,734MDY:60%EDV:40%
3/31/2011        11,357,671MDY:50%EDV:50%
4/29/2011        17,020,370MDY:40%EDV:60%
5/31/2011        18,347,774MDY:40%EDV:60%
6/30/2011          3,521,174MDY:40%EDV:60%
7/29/2011          1,622,226MDY:20%EDV:80%
8/31/2011             894,833ILF:60%EDV:40%
9/30/2011          1,128,693ILF:60%EDV:40%
10/31/2011          1,479,785ILF:70%EDV:30%
11/30/2011          6,372,867MDY:50%EDV:50%
12/30/2011          3,949,739MDY:50%EDV:50%
1/31/2012        10,795,929MDY:50%EDV:50%
2/29/2012          8,223,102MDY:50%EDV:50%
3/30/2012        20,671,879MDY:60%EDV:40%
4/30/2012        12,839,780MDY:50%EDV:50%
5/31/2012          9,075,860MDY:40%EDV:60%
6/29/2012        18,802,943MDY:40%EDV:60%
7/31/2012        35,603,872MDY:40%EDV:60%
8/31/2012        27,621,735MDY:50%EDV:50%
9/28/2012        29,739,658MDY:60%EDV:40%
10/31/2012        15,759,999MDY:70%EDV:30%
11/30/2012        10,719,906EPP:80%EDV:20%
12/31/2012        10,106,139EEM:90%EDV:10%
1/31/2013        18,216,561MDY:60%EDV:40%
2/28/2013        30,277,476MDY:60%EDV:40%
3/28/2013        42,608,396MDY:60%EDV:40%
4/30/2013        36,386,630MDY:40%EDV:60%
5/31/2013        12,729,678MDY:50%EDV:50%
6/28/2013             384,985MDY:1.0%EDV:0%
7/31/2013          3,041,581MDY:90%EDV:10%
8/30/2013            (28,454)MDY:1.0%EDV:0%
9/30/2013          9,587,745IEV:90%EDV:10%
10/31/2013          8,459,121IEV:90%EDV:10%
11/29/2013          7,618,120MDY:50%EDV:50%
12/31/2013          7,778,803MDY:70%EDV:30%
1/31/2014          2,932,185MDY:50%EDV:50%
2/28/2014        16,463,518MDY:30%EDV:70%
3/31/2014        36,435,148MDY:30%EDV:70%
4/30/2014        41,896,899EPP:70%EDV:30%
5/30/2014        54,623,716IEV:70%EDV:30%
6/30/2014        36,654,012EPP:80%EDV:20%
7/31/2014        32,905,840MDY:50%EDV:50%
8/29/2014        57,532,147MDY:50%EDV:50%
9/30/2014          5,203,244MDY:30%EDV:70%
2017-10-02T20:00:00+00:00 By |0 Comments

About the Author:

Frank studied Microtechnics at the Federal Institute of Technology in Lausanne and Business Administration at the Federal Institute of Technology in Zurich. After the Studies in 1989 he founded Labocontrol AG. Labocontrol developed high speed film scanners used in most of the photo labs for the production of Photo CD's. In 2000 Labocontrol was sold to Digital Now and Frank worked as Chief Scientist and later CTO of this Company. In Mai 2002 Frank founded Colour-Science AG a company specialized in image processing algorithms like face detection or red eye removal. Many of these algorithms could be also used to search for pattern in financial data, so Frank began to develop and back test rule based investment strategies. The main focus was to find strategies, which would allow a positive return also during a financial downturn or major financial crash.Based on this research, logical-invest developed some very successful strategies and due to its solid performance and positive returns, we decided to share our knowledge with you and publish it on a monthly basis through "rent-a-strategy".

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