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, when measuring performance, is the actual rate of return of an investment or a pool of investments over a given evaluation period. Total return includes interest, capital gains, dividends and distributions realized over a given period of time. Total return accounts for two categories of return: income including interest paid by fixed-income investments, distributions or dividends and capital appreciation, representing the change in the market price of an asset.'

Using this definition on our asset we see for example:
  • Compared with the benchmark DIA (70%) in the period of the last 5 years, the total return, or increase in value of 87% of Dow 30 Strategy is larger, thus better.
  • Looking at total return, or increase in value in of 27.4% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to DIA (34.3%).

CAGR:

'The compound annual growth rate isn't a true return rate, but rather a representational figure. It is essentially a number that describes the rate at which an investment would have grown if it had grown the same rate every year and the profits were reinvested at the end of each year. In reality, this sort of performance is unlikely. However, CAGR can be used to smooth returns so that they may be more easily understood when compared to alternative investments.'

Which means for our asset as example:
  • The annual performance (CAGR) over 5 years of Dow 30 Strategy is 13.4%, which is higher, thus better compared to the benchmark DIA (11.2%) in the same period.
  • During the last 3 years, the annual performance (CAGR) is 8.5%, which is lower, thus worse than the value of 10.4% from the benchmark.

Volatility:

'Volatility is a rate at which the price of a security increases or decreases for a given set of returns. Volatility is measured by calculating the standard deviation of the annualized returns over a given period of time. It shows the range to which the price of a security may increase or decrease. Volatility measures the risk of a security. It is used in option pricing formula to gauge the fluctuations in the returns of the underlying assets. Volatility indicates the pricing behavior of the security and helps estimate the fluctuations that may happen in a short period of time.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark DIA (20.6%) in the period of the last 5 years, the 30 days standard deviation of 8.6% of Dow 30 Strategy is smaller, thus better.
  • During the last 3 years, the historical 30 days volatility is 6.9%, which is smaller, thus better than the value of 14.7% from the benchmark.

DownVol:

'Downside risk is the financial risk associated with losses. That is, it is the risk of the actual return being below the expected return, or the uncertainty about the magnitude of that difference. 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 volatility of 5.9% in the last 5 years of Dow 30 Strategy, we see it is relatively lower, thus better in comparison to the benchmark DIA (14.8%)
  • Compared with DIA (10.2%) in the period of the last 3 years, the downside deviation of 4.8% is smaller, 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 (0.42) in the period of the last 5 years, the risk / return profile (Sharpe) of 1.26 of Dow 30 Strategy is greater, thus better.
  • Compared with DIA (0.54) in the period of the last 3 years, the ratio of return and volatility (Sharpe) of 0.87 is higher, thus better.

Sortino:

'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 excess return divided by the downside deviation over 5 years of Dow 30 Strategy is 1.83, which is greater, thus better compared to the benchmark DIA (0.59) in the same period.
  • Compared with DIA (0.78) in the period of the last 3 years, the excess return divided by the downside deviation of 1.25 is larger, thus better.

Ulcer:

'The ulcer index is a stock market risk measure or technical analysis indicator devised by Peter Martin in 1987, and published by him and Byron McCann in their 1989 book The Investors Guide to Fidelity Funds. It's designed as a measure of volatility, but only volatility in the downward direction, i.e. the amount of drawdown or retracement occurring over a period. Other volatility measures like standard deviation treat up and down movement equally, but a trader doesn't mind upward movement, it's the downside that causes stress and stomach ulcers that the index's name suggests.'

Applying this definition to our asset in some examples:
  • The Ulcer Ratio over 5 years of Dow 30 Strategy is 2.97 , which is smaller, thus better compared to the benchmark DIA (7.71 ) in the same period.
  • During the last 3 years, the Ulcer Index is 3.49 , which is smaller, thus better than the value of 5.65 from the benchmark.

MaxDD:

'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:
  • Compared with the benchmark DIA (-36.7 days) in the period of the last 5 years, the maximum DrawDown of -10.9 days of Dow 30 Strategy is greater, thus better.
  • Looking at maximum drop from peak to valley in of -7.7 days in the period of the last 3 years, we see it is relatively greater, thus better in comparison to DIA (-18.6 days).

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:
  • The maximum days under water over 5 years of Dow 30 Strategy is 424 days, which is lower, thus better compared to the benchmark DIA (477 days) in the same period.
  • During the last 3 years, the maximum days under water is 424 days, which is greater, thus worse than the value of 358 days from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Looking at the average days under water of 91 days in the last 5 years of Dow 30 Strategy, we see it is relatively lower, thus better in comparison to the benchmark DIA (122 days)
  • During the last 3 years, the average days below previous high is 137 days, which is higher, thus worse than the value of 105 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.