The Dow 30 strategy is a good way to invest in the best of the Dow 30 blue chips while avoiding the old fashioned underperforming members of the Dow 30 index.

The strategy uses a risk-adjusted momentum algorithm to choose the top four Dow 30 stocks with a variable allocation to treasuries or gold to smooth the equity curve and provide crash protection in bear markets. The strategy combines well with our more conservative strategies, such as the Bond Rotation Strategy or BUG, or with one of our non-U.S. equity strategies such as World Top 4, to form a well balanced portfolio.

The performance of the Dow 30 strategy is quite similar to the simpler US Market Strategy, however in volatile markets, the stock picking Dow 30 can outperformed the Dow 30 index.

'The total return on a portfolio of investments takes into account not only the capital appreciation on the portfolio, but also the income received on the portfolio. The income typically consists of interest, dividends, and securities lending fees. This contrasts with the price return, which takes into account only the capital gain on an investment.'

Applying this definition to our asset in some examples:- The total return, or performance over 5 years of Dow 30 Strategy is 96.7%, which is greater, thus better compared to the benchmark DIA (54.1%) in the same period.
- During the last 3 years, the total return is 56.1%, which is larger, thus better than the value of 27.1% from the benchmark.

'The compound annual growth rate (CAGR) is a useful measure of growth over multiple time periods. It can be thought of as the growth rate that gets you from the initial investment value to the ending investment value if you assume that the investment has been compounding over the time period.'

Applying this definition to our asset in some examples:- Compared with the benchmark DIA (9%) in the period of the last 5 years, the compounded annual growth rate (CAGR) of 14.5% of Dow 30 Strategy is greater, thus better.
- Looking at annual performance (CAGR) in of 16% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to DIA (8.3%).

'Volatility is a statistical measure of the dispersion of returns for a given security or market index. Volatility can either be measured by using the standard deviation or variance between returns from that same security or market index. Commonly, the higher the volatility, the riskier the security. In the securities markets, volatility is often associated with big swings in either direction. For example, when the stock market rises and falls more than one percent over a sustained period of time, it is called a 'volatile' market.'

Which means for our asset as example:- Looking at the historical 30 days volatility of 9.4% in the last 5 years of Dow 30 Strategy, we see it is relatively smaller, thus better in comparison to the benchmark DIA (21.6%)
- During the last 3 years, the volatility is 9.7%, which is lower, thus better than the value of 24.9% from the benchmark.

'Risk measures typically quantify the downside risk, whereas the standard deviation (an example of a deviation risk measure) measures both the upside and downside risk. Specifically, downside risk in our definition is the semi-deviation, that is the standard deviation of all negative returns.'

Using this definition on our asset we see for example:- Looking at the downside risk of 6.6% in the last 5 years of Dow 30 Strategy, we see it is relatively lower, thus better in comparison to the benchmark DIA (15.7%)
- During the last 3 years, the downside volatility is 6.7%, which is lower, thus better than the value of 18% from the benchmark.

'The Sharpe ratio is the measure of risk-adjusted return of a financial portfolio. Sharpe ratio is a measure of excess portfolio return over the risk-free rate relative to its standard deviation. Normally, the 90-day Treasury bill rate is taken as the proxy for risk-free rate. A portfolio with a higher Sharpe ratio is considered superior relative to its peers. The measure was named after William F Sharpe, a Nobel laureate and professor of finance, emeritus at Stanford University.'

Applying this definition to our asset in some examples:- Compared with the benchmark DIA (0.3) in the period of the last 5 years, the Sharpe Ratio of 1.28 of Dow 30 Strategy is higher, thus better.
- During the last 3 years, the ratio of return and volatility (Sharpe) is 1.4, which is higher, thus better than the value of 0.23 from the benchmark.

'The Sortino ratio improves upon the Sharpe ratio by isolating downside volatility from total volatility by dividing excess return by the downside deviation. The Sortino ratio is a variation of the Sharpe ratio that differentiates harmful volatility from total overall volatility by using the asset's standard deviation of negative asset returns, called downside deviation. The Sortino ratio takes the asset's return and subtracts the risk-free rate, and then divides that amount by the asset's downside deviation. The ratio was named after Frank A. Sortino.'

Using this definition on our asset we see for example:- The downside risk / excess return profile over 5 years of Dow 30 Strategy is 1.83, which is greater, thus better compared to the benchmark DIA (0.42) in the same period.
- Compared with DIA (0.32) in the period of the last 3 years, the excess return divided by the downside deviation of 2.03 is greater, thus better.

'Ulcer Index is a method for measuring investment risk that addresses the real concerns of investors, unlike the widely used standard deviation of return. UI is a measure of the depth and duration of drawdowns in prices from earlier highs. Using Ulcer Index instead of standard deviation can lead to very different conclusions about investment risk and risk-adjusted return, especially when evaluating strategies that seek to avoid major declines in portfolio value (market timing, dynamic asset allocation, hedge funds, etc.). The Ulcer Index was originally developed in 1987. Since then, it has been widely recognized and adopted by the investment community. According to Nelson Freeburg, editor of Formula Research, Ulcer Index is “perhaps the most fully realized statistical portrait of risk there is.'

Applying this definition to our asset in some examples:- Looking at the Downside risk index of 2.22 in the last 5 years of Dow 30 Strategy, we see it is relatively lower, thus better in comparison to the benchmark DIA (7.85 )
- Looking at Ulcer Ratio in of 2.37 in the period of the last 3 years, we see it is relatively lower, thus better in comparison to DIA (9.23 ).

'A maximum drawdown is the maximum loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum Drawdown is an indicator of downside risk over a specified time period. It can be used both as a stand-alone measure or as an input into other metrics such as 'Return over Maximum Drawdown' and the Calmar Ratio. Maximum Drawdown is expressed in percentage terms.'

Applying this definition to our asset in some examples:- Looking at the maximum DrawDown of -10.9 days in the last 5 years of Dow 30 Strategy, we see it is relatively larger, thus better in comparison to the benchmark DIA (-36.7 days)
- Looking at maximum reduction from previous high in of -10.9 days in the period of the last 3 years, we see it is relatively greater, thus better in comparison to DIA (-36.7 days).

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. The Max Drawdown Duration is the worst (the maximum/longest) amount of time an investment has seen between peaks (equity highs) in days.'

Applying this definition to our asset in some examples:- Looking at the maximum days under water of 161 days in the last 5 years of Dow 30 Strategy, we see it is relatively lower, thus better in comparison to the benchmark DIA (232 days)
- During the last 3 years, the maximum days below previous high is 161 days, which is lower, thus better than the value of 232 days from the benchmark.

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. The Avg Drawdown Duration is the average amount of time an investment has seen between peaks (equity highs), or in other terms the average of time under water of all drawdowns. So in contrast to the Maximum duration it does not measure only one drawdown event but calculates the average of all.'

Applying this definition to our asset in some examples:- Looking at the average days below previous high of 32 days in the last 5 years of Dow 30 Strategy, we see it is relatively lower, thus better in comparison to the benchmark DIA (65 days)
- Looking at average days below previous high in of 31 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to DIA (70 days).

Historical returns have been extended using synthetic data.
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- Note that yearly returns do not equal the sum of monthly returns due to compounding.
- Performance results of Dow 30 Strategy are hypothetical, do not account for slippage, fees or taxes, and are based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.