Description

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.

Statistics (YTD)

What do these metrics mean? [Read More] [Hide]

TotalReturn:

'Total return is the amount of value an investor earns from a security over a specific period, typically one year, when all distributions are reinvested. Total return is expressed as a percentage of the amount invested. For example, a total return of 20% means the security increased by 20% of its original value due to a price increase, distribution of dividends (if a stock), coupons (if a bond) or capital gains (if a fund). Total return is a strong measure of an investment’s overall performance.'

Which means for our asset as example:
  • Compared with the benchmark DIA (91.5%) in the period of the last 5 years, the total return, or performance of 75.5% of Dow 30 Strategy is lower, thus worse.
  • Compared with DIA (47.1%) in the period of the last 3 years, the total return, or performance of 25.1% is lower, thus worse.

CAGR:

'Compound annual growth rate (CAGR) is a business and investing specific term for the geometric progression ratio that provides a constant rate of return over the time period. CAGR is not an accounting term, but it is often used to describe some element of the business, for example revenue, units delivered, registered users, etc. CAGR dampens the effect of volatility of periodic returns that can render arithmetic means irrelevant. It is particularly useful to compare growth rates from various data sets of common domain such as revenue growth of companies in the same industry.'

Applying this definition to our asset in some examples:
  • Looking at the annual performance (CAGR) of 11.9% in the last 5 years of Dow 30 Strategy, we see it is relatively lower, thus worse in comparison to the benchmark DIA (13.9%)
  • Looking at compounded annual growth rate (CAGR) in of 7.8% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to DIA (13.8%).

Volatility:

'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.'

Applying this definition to our asset in some examples:
  • The 30 days standard deviation over 5 years of Dow 30 Strategy is 7.6%, which is lower, thus better compared to the benchmark DIA (15.2%) in the same period.
  • Looking at 30 days standard deviation in of 7.3% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to DIA (14.9%).

DownVol:

'The downside volatility is similar to the volatility, or standard deviation, but only takes losing/negative periods into account.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark DIA (10.5%) in the period of the last 5 years, the downside risk of 5.3% of Dow 30 Strategy is lower, thus better.
  • Compared with DIA (10%) in the period of the last 3 years, the downside volatility of 5.1% is lower, thus better.

Sharpe:

'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 (0.75) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 1.24 of Dow 30 Strategy is greater, thus better.
  • Compared with DIA (0.76) in the period of the last 3 years, the risk / return profile (Sharpe) of 0.73 is lower, thus worse.

Sortino:

'The Sortino ratio measures the risk-adjusted return of an investment asset, portfolio, or strategy. It is a modification of the Sharpe ratio but penalizes only those returns falling below a user-specified target or required rate of return, while the Sharpe ratio penalizes both upside and downside volatility equally. Though both ratios measure an investment's risk-adjusted return, they do so in significantly different ways that will frequently lead to differing conclusions as to the true nature of the investment's return-generating efficiency. The Sortino ratio is used as a way to compare the risk-adjusted performance of programs with differing risk and return profiles. In general, risk-adjusted returns seek to normalize the risk across programs and then see which has the higher return unit per risk.'

Using this definition on our asset we see for example:
  • Looking at the downside risk / excess return profile of 1.79 in the last 5 years of Dow 30 Strategy, we see it is relatively larger, thus better in comparison to the benchmark DIA (1.09)
  • During the last 3 years, the downside risk / excess return profile is 1.03, which is lower, thus worse than the value of 1.13 from the benchmark.

Ulcer:

'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.'

Which means for our asset as example:
  • Looking at the Ulcer Ratio of 2.88 in the last 5 years of Dow 30 Strategy, we see it is relatively lower, thus better in comparison to the benchmark DIA (5.98 )
  • Looking at Downside risk index in of 3.12 in the period of the last 3 years, we see it is relatively lower, thus better in comparison to DIA (4.37 ).

MaxDD:

'Maximum drawdown is defined as the peak-to-trough decline of an investment during a specific period. It is usually quoted as a percentage of the peak value. The maximum drawdown can be calculated based on absolute returns, in order to identify strategies that suffer less during market downturns, such as low-volatility strategies. However, the maximum drawdown can also be calculated based on returns relative to a benchmark index, for identifying strategies that show steady outperformance over time.'

Using this definition on our asset we see for example:
  • The maximum drop from peak to valley over 5 years of Dow 30 Strategy is -7.7 days, which is larger, thus better compared to the benchmark DIA (-20.8 days) in the same period.
  • Compared with DIA (-16 days) in the period of the last 3 years, the maximum reduction from previous high of -7.5 days is greater, thus better.

MaxDuration:

'The Maximum Drawdown Duration is an extension of the Maximum Drawdown. However, this metric does not explain the drawdown in dollars or percentages, rather in days, weeks, or months. It is the length of time the account was in the Max Drawdown. A Max Drawdown measures a retrenchment from when an equity curve reaches a new high. It’s the maximum an account lost during that retrenchment. This method is applied because a valley can’t be measured until a new high occurs. Once the new high is reached, the percentage change from the old high to the bottom of the largest trough is recorded.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark DIA (477 days) in the period of the last 5 years, the maximum days under water of 424 days of Dow 30 Strategy is smaller, thus better.
  • Looking at maximum time in days below previous high water mark in of 267 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to DIA (139 days).

AveDuration:

'The Average Drawdown Duration is an extension of the Maximum Drawdown. However, this metric does not explain the drawdown in dollars or percentages, rather in days, weeks, or months. 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.'

Using this definition on our asset we see for example:
  • The average time in days below previous high water mark over 5 years of Dow 30 Strategy is 93 days, which is lower, thus better compared to the benchmark DIA (117 days) in the same period.
  • During the last 3 years, the average time in days below previous high water mark is 67 days, which is greater, thus worse than the value of 40 days from the benchmark.

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations ()

Allocations

Returns (%)

  • Note that yearly returns do not equal the sum of monthly returns due to compounding.
  • Performance results of Dow 30 Strategy are hypothetical and do not account for slippage, fees or taxes.
  • Results may be based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.