Market Timing Beats Time in the Market (At Least Since 1871)

by portfolioperfection

“Everyone agrees that it’s appropriate to divide the space of a portfolio between different asset classes,” i.e., dividing your portfolio between different asset classes (e.g., 60% stocks and 40% bonds). However, it remains controversial to divide the time of your portfolio between different asset classes as market conditions change, also known as market timing. It is an alternative to maintaining a singular asset allocation over time (or changing your asset allocation in response to non-market conditions, like your age). Despite its poor reputation, the data show that market timing beats time in the market (at least since 1871).

The premise of the strategies discussed in this post is simple: things that are trending down tend to keep trending down, and vice versa. I won’t get into why this is true (though as I’ve written about previously, investors aren’t rational, and tend to panic sell during a down trend and pile in during an up trend), just that following market trends has been beneficial since 1871. It’s the premise behind trend following, which has been practiced for hundreds of years. (Disclaimer: these strategies are not new and not my own).

The scope of this post is the US market, specifically the S&P 500 index and the 10-Year Treasury Bond (GS10). Historical data was obtained from Professor Shiller (most well known for CAPE). Total return (including dividends) is used for the S&P 500 and monthly returns for 10-Year Treasury Bonds (Long Government Bond pre-1953) are calculated using Professor Damodaran’s methodology (which isn’t 100% correct, but is close enough). The strategies are rebalanced at the first of every month. And by the way, I’m only calculating Sharpe ratio after 1934 because the risk free rate I’m using is the yield on the 3-month Treasury Bill.

The two strategies both use a simple moving average (SMA) and are described below:

  • SMA(10) – When the price of the S&P 500 index closes below it’s 10-month (200-day) SMA, sell the S&P 500 index (stocks) and buy the 10-Year Treasury Bond (bonds). Keep holding bonds until the price of the S&P closes above it’s 10-month SMA.
  • SMA Cross – When the 50-day (2.5-month) SMA of the S&P closes below it’s 200-day SMA (also called the death cross), sell stocks and buy bonds. Keep holding bonds until the 50-day SMA crosses above the 200-day SMA (also called the golden cross).
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These two strategies will be compared against buying and holding each of the following asset allocations:

  • 100% stocks (again, total return of the S&P 500 index, including dividends)
  • 100% bonds (10-Year Treasury Bond)
  • 63% stocks & 37% bonds (it turns out that since 1871, both of the SMA strategies are in stocks about 63% of the time and in bonds about 37% of the time, so I thought this would be a more interesting comparison)

Market Timing Strategies – Statistical Comparison (1871 – 2017)

Marketing Timing Strategies – Growth of $100 (1871 – 2017)

Obviously, these strategies have worked very well historically. The returns by decade are shown below.

CAGR by Decade for Market Timing Strategies (1880s through 2000s)

The only decade where the S&P 500 Total Return outperformed both market timing strategies was the 1990s. Below are charts showing how the CAGR, Sharpe ratio, and maximum drawdowns (from starting year to 2017) change as the starting year changes.

CAGR vs Starting Year for Market Timing Strategies (Starting Year to 2017)

Sharpe Ratio vs Starting Year for Market Timing Strategies (Starting Year to 2017)

Max Drawdown vs Starting Year for Market Timing Strategies (Starting Year to 2017)

These charts tell the same story, with the market timing strategies leading the pack regardless of the starting year. The max drawdown chart is interesting because you can clearly see recessions and how each strategy performed by the magnitude of the drop.

Speaking of drawdowns, the 100 largest drawdowns of the S&P 500 Total Return and the corresponding drawdowns of the market timing strategies are shown below.

100 Largest Drawdowns of the S&P 500 Total Return and Corresponding Market Timing Strategy Drawdowns (1871 – 2017)

The data depicted was not organized for individual recessions, so there is some overlap and misrepresentation. The raw data with associated dates is here.

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Saving the best for last, the base rates for the strategies are below.

Base Rate Comparison for Market Timing Strategies (1871 – 2017)

These base rates tell you what % of time each strategy has resulted in a positive (1-, 3-, 5-, or 10-year) CAGR. For example, for 3.4% of the rolling 10-year time periods between 1871 and 2017, you would have lost money (return less than 0%) by being invested in the S&P 500. Or, there was an 89.9% chance that you’d have a positive return on a 10-Year Treasury Bond during any given year between 1871 and 2017.

Base rates can be very helpful psychologically; knowing how often a 3-year losing streak has happened in the past can provide a frame of reference when trying to decide to change strategies or stick with it.

Using more powerful tools, these strategies can be tested and implemented with more recent data. Below are results for both strategies using SPY and IEF from 1999 to present. (I know that IEF was only introduced in 2002, but the site I use has extended the price for this and many other ETFs backward to maximize usefulness in backtesting).

Detailed Statistics for the SMA(10) Market Timing Strategy Using SPY & IEF (Jan 1 99 – Sep 18 17)

Detailed Statistics for the SMA Cross Market Timing Strategy Using SPY & IEF (Jan 1 99 – Sep 18 17)

Switching out ETFs (e.g., SHY to short the market instead of IEF, just going to cash, using a more bullish ETF), using exponential moving averages instead of SMAs, combining market timing indicators, implementing these timing rules into other portfolios (stock or ETF), and many more permutations are all things to explore.

Future posts include more market indicators as well as economic indicators (such as unemployment rate, and how well it’s worked since 1948 when it was first published) that can be used to help inform your investment decisions.

I recommend further reading by people smarter than me, if you’re interested.


Disclaimer: Consult your financial professional before making any investment decision.


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